· 5 years ago · May 26, 2020, 12:50 PM
1[
2 {
3 "name": "Question 0",
4 "desc": "Which of the following would be more appropriate to be replaced with question mark in the following figure ?",
5 "ans": "b",
6 "opt": {
7 "a": "",
8 "b": " Data Analysis",
9 "c": " Data Science",
10 "d": " Descriptive Analytics"
11 }
12 },
13 {
14 "name": "Question 1",
15 "desc": "Point out the correct statement:",
16 "ans": "a",
17 "opt": {
18 "a": " Raw data is original source of data",
19 "b": " Preprocessed data is original source of data",
20 "c": " Raw data is the data obtained after processing steps",
21 "d": " None of the Mentioned"
22 }
23 },
24 {
25 "name": "Question 2",
26 "desc": "Which of the following is performed by Data Scientist ?",
27 "ans": "d",
28 "opt": {
29 "a": " Define the question",
30 "b": " Create reproducible code",
31 "c": " Challenge results",
32 "d": " All of the Mentioned"
33 }
34 },
35 {
36 "name": "Question 3",
37 "desc": "Which of the following is most important language for Data Science ?",
38 "ans": "c",
39 "opt": {
40 "a": " Java",
41 "b": " Ruby",
42 "c": " R",
43 "d": " None of the Mentioned"
44 }
45 },
46 {
47 "name": "Question 4",
48 "desc": "Point out the wrong statement:",
49 "ans": "b",
50 "opt": {
51 "a": " Merging concerns combining datasets on the same observations to produce a result with more variables",
52 "b": " Data visualization is the organization of information according to preset specifications",
53 "c": " Subsetting can be used to select and exclude variables and observations",
54 "d": " All of the Mentioned"
55 }
56 },
57 {
58 "name": "Question 5",
59 "desc": "Which of the following approach should be used to ask Data Analysis question ?",
60 "ans": "b",
61 "opt": {
62 "a": " Find only one solution for particular problem",
63 "b": " Find out the question which is to be answered",
64 "c": " Find out answer from dataset without asking question",
65 "d": " None of the mentioned"
66 }
67 },
68 {
69 "name": "Question 6",
70 "desc": "Which of the following is one of the key data science skill ?",
71 "ans": "d",
72 "opt": {
73 "a": " Statistics",
74 "b": " Machine Learning",
75 "c": " Data Visualization",
76 "d": " All of the Mentioned"
77 }
78 },
79 {
80 "name": "Question 7",
81 "desc": "Which of the following is key characteristic of hacker ?",
82 "ans": "b",
83 "opt": {
84 "a": " Afraid to say they don�t know the answer",
85 "b": " Willing to find answers on their own",
86 "c": " Not Willing to find answers on their own",
87 "d": " All of the mentioned"
88 }
89 },
90 {
91 "name": "Question 8",
92 "desc": "Which of the following is characteristic of Processed Data ?",
93 "ans": "b",
94 "opt": {
95 "a": " Data is not ready for analysis",
96 "b": " All steps should be noted",
97 "c": " Hard to use for data analysis",
98 "d": " None of the mentioned"
99 }
100 },
101 {
102 "name": "Question 9",
103 "desc": "Raw data should be processed only one time.",
104 "ans": "b",
105 "opt": {
106 "a": "UE",
107 "b": "LSE",
108 "c": "ne",
109 "d": "ne"
110 }
111 },
112 {
113 "name": "Question 10",
114 "desc": "Which of the following principle is incorrectly represented in the below figure ?",
115 "ans": "d",
116 "opt": {
117 "a": "",
118 "b": " Show Comparisons",
119 "c": " Integrate Evidence",
120 "d": " Describe Evidence"
121 }
122 },
123 {
124 "name": "Question 11",
125 "desc": "Point out the correct statement :",
126 "ans": "a",
127 "opt": {
128 "a": " Least square is an estimation tool",
129 "b": " Least square problems falls in to three categories",
130 "c": " Compound least square is one of the category of least square",
131 "d": " None of the Mentioned"
132 }
133 },
134 {
135 "name": "Question 12",
136 "desc": "How many principles of analytical graphs exist ?",
137 "ans": "c",
138 "opt": {
139 "a": " 3",
140 "b": " 4",
141 "c": " 6",
142 "d": " None of the Mentioned"
143 }
144 },
145 {
146 "name": "Question 13",
147 "desc": "Which of the following is not a step in data analysis ?",
148 "ans": "d",
149 "opt": {
150 "a": " Obtain the data",
151 "b": " Clean the data",
152 "c": " EDA",
153 "d": " None of the Mentioned"
154 }
155 },
156 {
157 "name": "Question 14",
158 "desc": "Point out the wrong statement:",
159 "ans": "a",
160 "opt": {
161 "a": " Simple linear regression is equipped to handle more than one predictor",
162 "b": " Compound linear regression is not equipped to handle more than one predictor",
163 "c": " Linear regression consists of finding the best-fitting straight line through the points",
164 "d": " All of the Mentioned"
165 }
166 },
167 {
168 "name": "Question 15",
169 "desc": "Which of the following technique comes under practical machine learning ?",
170 "ans": "b",
171 "opt": {
172 "a": " Bagging",
173 "b": " Boosting",
174 "c": " Forecasting",
175 "d": " None of the Mentioned"
176 }
177 },
178 {
179 "name": "Question 16",
180 "desc": "Data Products shown in the below figure is built using which programming language ?",
181 "ans": "c",
182 "opt": {
183 "a": "",
184 "b": " S",
185 "c": " Python",
186 "d": " R"
187 }
188 },
189 {
190 "name": "Question 17",
191 "desc": "Which of the following technique is also referred to as Bagging ?",
192 "ans": "a",
193 "opt": {
194 "a": " Bootstrap aggregating",
195 "b": " Bootstrap subsetting",
196 "c": " Bootstrap predicting",
197 "d": " All of the Mentioned"
198 }
199 },
200 {
201 "name": "Question 18",
202 "desc": "Which of the following is characteristic of Raw Data ?",
203 "ans": "b",
204 "opt": {
205 "a": " Data is ready for analysis",
206 "b": " Original version of data",
207 "c": " Easy to use for data analysis",
208 "d": " None of the Mentioned"
209 }
210 },
211 {
212 "name": "Question 19",
213 "desc": "Standard normal RVs are always labelled as Z.",
214 "ans": "b",
215 "opt": {
216 "a": "UE",
217 "b": "LSE",
218 "c": "ne",
219 "d": "ne"
220 }
221 },
222 {
223 "name": "Question 20",
224 "desc": "Which of the following CLI command can also be used to rename files ?",
225 "ans": "b",
226 "opt": {
227 "a": " rm",
228 "b": " mv",
229 "c": " rm -r",
230 "d": " none of the mentioned"
231 }
232 },
233 {
234 "name": "Question 21",
235 "desc": "Point out the correct statement :",
236 "ans": "b",
237 "opt": {
238 "a": " CLI can help you to organize messages",
239 "b": " CLI can help you to organize files and folders",
240 "c": " Navigation of directory is possible using CLI",
241 "d": " None of the Mentioned"
242 }
243 },
244 {
245 "name": "Question 22",
246 "desc": "Which of the following command allows you to change directory to one level above your parent directory ?",
247 "ans": "c",
248 "opt": {
249 "a": " cd",
250 "b": " cd.",
251 "c": " cd..",
252 "d": " none of the Mentioned"
253 }
254 },
255 {
256 "name": "Question 23",
257 "desc": "Which of the following is not a CLI command ?",
258 "ans": "a",
259 "opt": {
260 "a": " delete",
261 "b": " rm",
262 "c": " clear",
263 "d": " none of the Mentioned"
264 }
265 },
266 {
267 "name": "Question 24",
268 "desc": "Point out the wrong statement:",
269 "ans": "b",
270 "opt": {
271 "a": " Command is the CLI command which does a specific task",
272 "b": " There is one and only flag for every command in CLI",
273 "c": " Flags are the options given to command for activating particular behaviour",
274 "d": " All of the Mentioned"
275 }
276 },
277 {
278 "name": "Question 25",
279 "desc": "Which of the following systems record changes to a file over time ?",
280 "ans": "b",
281 "opt": {
282 "a": " Record Control",
283 "b": " Version Control",
284 "c": " Forecast Control",
285 "d": " None of the mentioned"
286 }
287 },
288 {
289 "name": "Question 26",
290 "desc": "Which of the following is a revision control system ?",
291 "ans": "a",
292 "opt": {
293 "a": " Git",
294 "b": " NumPy",
295 "c": " Slidify",
296 "d": " None of the mentioned"
297 }
298 },
299 {
300 "name": "Question 27",
301 "desc": "Which of the following command line environment is used for interacting with Git ?",
302 "ans": "b",
303 "opt": {
304 "a": " GitHub",
305 "b": " Git Bash",
306 "c": " Git Boot",
307 "d": " All of the mentioned"
308 }
309 },
310 {
311 "name": "Question 28",
312 "desc": "Which of the following web hosting service use Git control system ?",
313 "ans": "a",
314 "opt": {
315 "a": " GitHub",
316 "b": " Open Hash",
317 "c": " Git Bash",
318 "d": " None of the mentioned"
319 }
320 },
321 {
322 "name": "Question 29",
323 "desc": "cp command can be used to copy the content of directories.",
324 "ans": "a",
325 "opt": {
326 "a": "UE",
327 "b": "LSE",
328 "c": "ne",
329 "d": "ne"
330 }
331 },
332 {
333 "name": "Question 30",
334 "desc": "Which of the following adds all new files to local repository ?",
335 "ans": "d",
336 "opt": {
337 "a": " git add .",
338 "b": " git add -u",
339 "c": " git add -A",
340 "d": " none of the Mentioned"
341 }
342 },
343 {
344 "name": "Question 31",
345 "desc": "Point out the correct statement :",
346 "ans": "b",
347 "opt": {
348 "a": " You don�t need GitHub to use Git",
349 "b": " CLI can help you to organize files and folders",
350 "c": " Navigation of directory is possible using CLI",
351 "d": " None of the Mentioned"
352 }
353 },
354 {
355 "name": "Question 32",
356 "desc": "Which of the following command updates tracking for files that are modified ?",
357 "ans": "b",
358 "opt": {
359 "a": " git add .",
360 "b": " git add -u",
361 "c": " git add -A",
362 "d": " none of the Mentioned"
363 }
364 },
365 {
366 "name": "Question 33",
367 "desc": "Which of the following command is used to give message description ?",
368 "ans": "a",
369 "opt": {
370 "a": " git command -m",
371 "b": " git command -d",
372 "c": " git command -message",
373 "d": " none of the Mentioned"
374 }
375 },
376 {
377 "name": "Question 34",
378 "desc": "Point out the wrong statement:",
379 "ans": "a",
380 "opt": {
381 "a": " You need GitHub to use Git",
382 "b": " GitHub allows you to share repositories with others",
383 "c": " GitHub allows you to access others repositories",
384 "d": " All of the Mentioned"
385 }
386 },
387 {
388 "name": "Question 35",
389 "desc": "Which of the following command allows you to update the repository ?",
390 "ans": "a",
391 "opt": {
392 "a": " push",
393 "b": " pop",
394 "c": " update",
395 "d": " none of the Mentioned"
396 }
397 },
398 {
399 "name": "Question 36",
400 "desc": "Which of the following is correct way of creating GitHub repository in to well labelled commits ?",
401 "ans": "a",
402 "opt": {
403 "a": " Fork another user�s repository",
404 "b": " Pop another user�s repository",
405 "c": " Zip another user�s repository",
406 "d": " None of the Mentioned"
407 }
408 },
409 {
410 "name": "Question 37",
411 "desc": "Which of the following command is used to squash the commits ?",
412 "ans": "a",
413 "opt": {
414 "a": " rebase",
415 "b": " squash",
416 "c": " boot",
417 "d": " all of the Mentioned"
418 }
419 },
420 {
421 "name": "Question 38",
422 "desc": "Which of the following statement would create branch named as �sanfoundry� ?",
423 "ans": "a",
424 "opt": {
425 "a": " git checkout -b sanfoundry",
426 "b": " git checkout -c sanfoundry",
427 "c": " git check -b sanfoundry",
428 "d": " none of the Mentioned"
429 }
430 },
431 {
432 "name": "Question 39",
433 "desc": "branch command is used to determine which branch you are currently in.",
434 "ans": "a",
435 "opt": {
436 "a": "UE",
437 "b": "LSE",
438 "c": "ne",
439 "d": "ne"
440 }
441 },
442 {
443 "name": "Question 40",
444 "desc": "Which of the following principle characteristic is odd man out in the below figure ?",
445 "ans": "c",
446 "opt": {
447 "a": "",
448 "b": " Principle 1",
449 "c": " Principle 2",
450 "d": " Principle 3"
451 }
452 },
453 {
454 "name": "Question 41",
455 "desc": "Point out the correct statement :",
456 "ans": "b",
457 "opt": {
458 "a": " Descriptive analysis is first kind of data analysis performed",
459 "b": " Descriptions can be generalized without statistical modelling",
460 "c": " Description and Interpretation are same in descriptive analysis",
461 "d": " None of the Mentioned"
462 }
463 },
464 {
465 "name": "Question 42",
466 "desc": "Which of the following allows you to find the relationship you didn�t about ?",
467 "ans": "b",
468 "opt": {
469 "a": " Inferential",
470 "b": " Exploratory",
471 "c": " Causal",
472 "d": " None of the Mentioned"
473 }
474 },
475 {
476 "name": "Question 43",
477 "desc": "Which of the following command help us to give message description ?",
478 "ans": "a",
479 "opt": {
480 "a": " git command -m",
481 "b": " git command -d",
482 "c": " git command -message",
483 "d": " none of the Mentioned"
484 }
485 },
486 {
487 "name": "Question 44",
488 "desc": "Point out the wrong statement:",
489 "ans": "a",
490 "opt": {
491 "a": " Exploratory analyses are usually the final way",
492 "b": " Exploratory models are useful for discovering new connection",
493 "c": " Exploratory analysis alone should not be used for predicting",
494 "d": " All of the Mentioned"
495 }
496 },
497 {
498 "name": "Question 45",
499 "desc": "Which of the following uses data on some object to predict values for other object ?",
500 "ans": "c",
501 "opt": {
502 "a": " Inferential",
503 "b": " Exploratory",
504 "c": " Predictive",
505 "d": " None of the Mentioned"
506 }
507 },
508 {
509 "name": "Question 46",
510 "desc": "Which of the following is common goal of statistical modelling ?",
511 "ans": "a",
512 "opt": {
513 "a": " Inference",
514 "b": " Summarizing",
515 "c": " Subsetting",
516 "d": " None of the Mentioned"
517 }
518 },
519 {
520 "name": "Question 47",
521 "desc": "Which of the following model is usually gold standard for data analysis ?",
522 "ans": "c",
523 "opt": {
524 "a": " Inferential",
525 "b": " Descriptive",
526 "c": " Causal",
527 "d": " All of the Mentioned"
528 }
529 },
530 {
531 "name": "Question 48",
532 "desc": "Which of the following analysis should come in place of question mark in the below figure ?",
533 "ans": "a",
534 "opt": {
535 "a": "",
536 "b": " Inferential",
537 "c": " Exploratory",
538 "d": " Causal"
539 }
540 },
541 {
542 "name": "Question 49",
543 "desc": "Causal analysis is commonly applied to census data.",
544 "ans": "b",
545 "opt": {
546 "a": "ue",
547 "b": "LSE",
548 "c": "ne",
549 "d": "ne"
550 }
551 },
552 {
553 "name": "Question 50",
554 "desc": "Which of the following type of data science question is missing in the figure ?",
555 "ans": "b",
556 "opt": {
557 "a": "",
558 "b": " Correlative",
559 "c": " Exploratory",
560 "d": " Relative"
561 }
562 },
563 {
564 "name": "Question 51",
565 "desc": "Point out the correct statement:",
566 "ans": "b",
567 "opt": {
568 "a": " Descriptive analysis can be more useful for defining future studies",
569 "b": " Correlation does imply causation",
570 "c": " Inference is commonly the goal of statistical model",
571 "d": " None of the Mentioned"
572 }
573 },
574 {
575 "name": "Question 52",
576 "desc": "Which of the following uses relatively small amount of data to estimate about bigger population ?",
577 "ans": "a",
578 "opt": {
579 "a": " Inferential",
580 "b": " Exploratory",
581 "c": " Causal",
582 "d": " None of the Mentioned"
583 }
584 },
585 {
586 "name": "Question 53",
587 "desc": "Which of the following analysis helps out to find the effect of variable change ?",
588 "ans": "c",
589 "opt": {
590 "a": " Inferential",
591 "b": " Exploratory",
592 "c": " Causal",
593 "d": " None of the Mentioned"
594 }
595 },
596 {
597 "name": "Question 54",
598 "desc": "Point out the correct statement:",
599 "ans": "c",
600 "opt": {
601 "a": " Exploratory analyses are not usually the final way",
602 "b": " Inferential models are useful for discovering new connection",
603 "c": " Inference involves estimating uncertainty",
604 "d": " All of the Mentioned"
605 }
606 },
607 {
608 "name": "Question 55",
609 "desc": "Which of the following relationship are usually identified as average effects ?",
610 "ans": "b",
611 "opt": {
612 "a": " Descriptive",
613 "b": " Causal",
614 "c": " Predictive",
615 "d": " None of the Mentioned"
616 }
617 },
618 {
619 "name": "Question 56",
620 "desc": "Which of the following is more applicable to the below figure ?",
621 "ans": "a",
622 "opt": {
623 "a": "",
624 "b": " Descriptive",
625 "c": " Causal",
626 "d": " Predictive"
627 }
628 },
629 {
630 "name": "Question 57",
631 "desc": "Which of the following analysis is usually modeled by deterministic set of equations ?",
632 "ans": "c",
633 "opt": {
634 "a": " Predictive",
635 "b": " Causal",
636 "c": " Mechanistic",
637 "d": " All of the mentioned"
638 }
639 },
640 {
641 "name": "Question 58",
642 "desc": "Which of the following analysis are incredibly hard to infer ?",
643 "ans": "d",
644 "opt": {
645 "a": " Inferential",
646 "b": " Exploratory",
647 "c": " Causal",
648 "d": " Mechanistic"
649 }
650 },
651 {
652 "name": "Question 59",
653 "desc": "Accurate prediction depends heavily on measuring right variables.\r",
654 "ans": "a",
655 "opt": {
656 "a": "ue",
657 "b": "LSE",
658 "c": "ne",
659 "d": "ne"
660 }
661 },
662 {
663 "name": "Question 60",
664 "desc": "Which of the following term is appropriate to the below figure ?",
665 "ans": "b",
666 "opt": {
667 "a": "",
668 "b": " Large Data",
669 "c": " Big Data",
670 "d": " Dark Data"
671 }
672 },
673 {
674 "name": "Question 61",
675 "desc": "Point out the correct statement:",
676 "ans": "d",
677 "opt": {
678 "a": " Machine learning focuses on prediction, based on known properties learned from the training data",
679 "b": " Data Cleaning focuses on prediction, based on known properties learned from the training data.",
680 "c": " Representing data in a form which both mere mortals can understand and get valuable insights is as much a science as much as it is art",
681 "d": " None of the Mentioned"
682 }
683 },
684 {
685 "name": "Question 62",
686 "desc": "Which of the following characteristic of big data is relatively more concerned to data science ?",
687 "ans": "b",
688 "opt": {
689 "a": " Velocity",
690 "b": " Variety",
691 "c": " Volume",
692 "d": " None of the Mentioned"
693 }
694 },
695 {
696 "name": "Question 63",
697 "desc": "Which of the following analytical capabilities are provide by information management company ?",
698 "ans": "d",
699 "opt": {
700 "a": " Stream Computing",
701 "b": " Content Management",
702 "c": " Information Integration",
703 "d": " All of the Mentioned"
704 }
705 },
706 {
707 "name": "Question 64",
708 "desc": "Point out the wrong statement:",
709 "ans": "c",
710 "opt": {
711 "a": " The big volume indeed represents Big Data",
712 "b": " The data growth and social media explosion have changed how we look at the data",
713 "c": " Big Data is just about lots of data",
714 "d": " All of the Mentioned"
715 }
716 },
717 {
718 "name": "Question 65",
719 "desc": "Which of the following step is performed by data scientist after acquiring the data ?",
720 "ans": "a",
721 "opt": {
722 "a": " Data Cleansing",
723 "b": " Data Integration",
724 "c": " Data Replication",
725 "d": " All of the Mentioned"
726 }
727 },
728 {
729 "name": "Question 66",
730 "desc": "3Vs are not sufficient To describe big data.\r",
731 "ans": "a",
732 "opt": {
733 "a": "ue",
734 "b": "LSE",
735 "c": "ne",
736 "d": "ne"
737 }
738 },
739 {
740 "name": "Question 67",
741 "desc": "Which of the following focuses on the discovery of (previously) unknown properties on the data ?",
742 "ans": "a",
743 "opt": {
744 "a": " Data mining",
745 "b": " Big Data",
746 "c": " Data wrangling",
747 "d": " Machine Learning"
748 }
749 },
750 {
751 "name": "Question 68",
752 "desc": "Which of the following language should be replaced with the question mark in the below figure ?",
753 "ans": "a",
754 "opt": {
755 "a": "",
756 "b": " Java",
757 "c": " PHP",
758 "d": " COBOL"
759 }
760 },
761 {
762 "name": "Question 69",
763 "desc": "Beyond Volume, Variety and Velocity is the Issue of Big Data Veracity",
764 "ans": "a",
765 "opt": {
766 "a": "ue",
767 "b": "LSE",
768 "c": "ne",
769 "d": "ne"
770 }
771 },
772 {
773 "name": "Question 70",
774 "desc": "Which of the following design term is perfectly applicable to the below figure ?",
775 "ans": "b",
776 "opt": {
777 "a": "",
778 "b": " Correlation",
779 "c": " Confounding",
780 "d": " Causation"
781 }
782 },
783 {
784 "name": "Question 71",
785 "desc": "Point out the correct statement:",
786 "ans": "a",
787 "opt": {
788 "a": " If equations are known but the parameters are not,they may be inferred with data analysis",
789 "b": " If equations are not known but the parameters are,they may be inferred with data analysis",
790 "c": " If equations and parameter are not,they may be inferred with data analysis",
791 "d": " None of the Mentioned"
792 }
793 },
794 {
795 "name": "Question 72",
796 "desc": "Which of the following is the top most important thing in data science ?",
797 "ans": "b",
798 "opt": {
799 "a": " answer",
800 "b": " question",
801 "c": " data",
802 "d": " none of the Mentioned"
803 }
804 },
805 {
806 "name": "Question 73",
807 "desc": "Which of the following approach should be used if you can�t fix the variable ?",
808 "ans": "a",
809 "opt": {
810 "a": " randomize it",
811 "b": " non stratify it",
812 "c": " generalize it",
813 "d": " none of the Mentioned"
814 }
815 },
816 {
817 "name": "Question 74",
818 "desc": "Point out the wrong statement:",
819 "ans": "a",
820 "opt": {
821 "a": " Randomized studies are not used to identify causation",
822 "b": " Complication approached exist for inferring causation",
823 "c": " Causal relationships may not apply to every individual",
824 "d": " All of the Mentioned"
825 }
826 },
827 {
828 "name": "Question 75",
829 "desc": "Which of the following is good way of performing experiments in data science ?",
830 "ans": "d",
831 "opt": {
832 "a": " Measure variability",
833 "b": " Generalize to the problem",
834 "c": " Have Replication",
835 "d": " All of the Mentioned"
836 }
837 },
838 {
839 "name": "Question 76",
840 "desc": "Which of the following is commonly referred to as �data fishing� ?",
841 "ans": "d",
842 "opt": {
843 "a": " Data bagging",
844 "b": " Data booting",
845 "c": " Data merging",
846 "d": " None of the Mentioned"
847 }
848 },
849 {
850 "name": "Question 77",
851 "desc": "Which of the following data mining technique is used to uncover patterns in data ?",
852 "ans": "d",
853 "opt": {
854 "a": " Data bagging",
855 "b": " Data booting",
856 "c": " Data merging",
857 "d": " Data Dredging"
858 }
859 },
860 {
861 "name": "Question 78",
862 "desc": "If X predicts Y,it does mean X causes Y.",
863 "ans": "b",
864 "opt": {
865 "a": "ue",
866 "b": "LSE",
867 "c": "ne",
868 "d": "ne"
869 }
870 },
871 {
872 "name": "Question 79",
873 "desc": "Which of the following operations are supported on Time Frames ?",
874 "ans": "a",
875 "opt": {
876 "a": " idxmax",
877 "b": " ixmax",
878 "c": " ixmin",
879 "d": " none of the Mentioned"
880 }
881 },
882 {
883 "name": "Question 80",
884 "desc": "Point out the correct statement:",
885 "ans": "a",
886 "opt": {
887 "a": " Timedeltas are differences in times, expressed in difference units",
888 "b": " You can construct a Timedelta scalar through various argument",
889 "c": " DateOffsets cannot be used in construction",
890 "d": " All of the Mentioned"
891 }
892 },
893 {
894 "name": "Question 81",
895 "desc": "Numeric reduction operation for timedelta64[ns] will return _________ objects.",
896 "ans": "c",
897 "opt": {
898 "a": " Timeseries",
899 "b": " Timeplus",
900 "c": " Timedelta",
901 "d": " None of the Mentioned"
902 }
903 },
904 {
905 "name": "Question 82",
906 "desc": "Which of the following scalars can be converted to other �frequencies� by astyping to a specific timedelta type?",
907 "ans": "d",
908 "opt": {
909 "a": " Timedelta Series",
910 "b": " TimedeltaIndex",
911 "c": " Timedelta",
912 "d": " All of the Mentioned"
913 }
914 },
915 {
916 "name": "Question 83",
917 "desc": "Point out the wrong statement:",
918 "ans": "b",
919 "opt": {
920 "a": " min, max, idxmin, idxmax operations are supported on Series",
921 "b": " You cannot pass a timedelta to get a particular value",
922 "c": " Division by the numpy scalar is true division",
923 "d": " None of the Mentioned"
924 }
925 },
926 {
927 "name": "Question 84",
928 "desc": "Which of the following is used to generate an index with time delta ?",
929 "ans": "b",
930 "opt": {
931 "a": " TimeIndex",
932 "b": " TimedeltaIndex",
933 "c": " LeadIndex",
934 "d": " None of the Mentioned"
935 }
936 },
937 {
938 "name": "Question 85",
939 "desc": "Combination of TimedeltaIndex with DatetimeIndex allow certain combination operations that are NaT preserving.",
940 "ans": "a",
941 "opt": {
942 "a": "ue",
943 "b": "LSE",
944 "c": "ne",
945 "d": "ne"
946 }
947 },
948 {
949 "name": "Question 86",
950 "desc": "Using _________ on categorical data will produce similar output to a Series or DataFrame of type string.",
951 "ans": "b",
952 "opt": {
953 "a": " .desc()",
954 "b": " .describe()",
955 "c": " .rank()",
956 "d": " none of the Mentioned"
957 }
958 },
959 {
960 "name": "Question 87",
961 "desc": "Which of the following method can be used to rename categorical data ?",
962 "ans": "a",
963 "opt": {
964 "a": " Categorical.rename_categories()",
965 "b": " Categorical.rename()",
966 "c": " Categorical.mv_categories()",
967 "d": " None of the Mentioned"
968 }
969 },
970 {
971 "name": "Question 88",
972 "desc": "All values of categorical data are either in categories or np.nan.",
973 "ans": "a",
974 "opt": {
975 "a": "ue",
976 "b": "LSE",
977 "c": "ne",
978 "d": "ne"
979 }
980 },
981 {
982 "name": "Question 89",
983 "desc": "The plot method on Series and DataFrame is just a simple wrapper around :",
984 "ans": "b",
985 "opt": {
986 "a": " gplt.plot()",
987 "b": " plt.plot()",
988 "c": " plt.plotgraph()",
989 "d": " none of the Mentioned"
990 }
991 },
992 {
993 "name": "Question 90",
994 "desc": "Point out the correct combination with regards to kind keyword for graph plotting:",
995 "ans": "d",
996 "opt": {
997 "a": " �hist� for histogram",
998 "b": " �box� for boxplot",
999 "c": " �area� for area plots",
1000 "d": " all of the Mentioned"
1001 }
1002 },
1003 {
1004 "name": "Question 91",
1005 "desc": "Which of the following value is provided by kind keyword for barplot ?",
1006 "ans": "a",
1007 "opt": {
1008 "a": " barh",
1009 "b": " kde",
1010 "c": " hexbin",
1011 "d": " none of the Mentioned"
1012 }
1013 },
1014 {
1015 "name": "Question 92",
1016 "desc": "You can create a scatter plot matrix using the __________ method in pandas.tools.plotting.",
1017 "ans": "b",
1018 "opt": {
1019 "a": " sca_matrix",
1020 "b": " scatter_matrix",
1021 "c": " DataFrame.plot",
1022 "d": " all of the Mentioned"
1023 }
1024 },
1025 {
1026 "name": "Question 93",
1027 "desc": "Point out the wrong combination with regards to kind keyword for graph plotting:",
1028 "ans": "b",
1029 "opt": {
1030 "a": " �scatter� for scatter plots",
1031 "b": " �kde� for hexagonal bin plots",
1032 "c": " �pie� for pie plots",
1033 "d": " none of the Mentioned"
1034 }
1035 },
1036 {
1037 "name": "Question 94",
1038 "desc": "Which of the following plots are used to check if a data set or time series is random ?",
1039 "ans": "a",
1040 "opt": {
1041 "a": " Lag",
1042 "b": " Random",
1043 "c": " Lead",
1044 "d": " None of the Mentioned"
1045 }
1046 },
1047 {
1048 "name": "Question 95",
1049 "desc": "Plots may also be adorned with error bars or tables.",
1050 "ans": "a",
1051 "opt": {
1052 "a": "ue",
1053 "b": "LSE",
1054 "c": "ne",
1055 "d": "ne"
1056 }
1057 },
1058 {
1059 "name": "Question 96",
1060 "desc": "Which of the following plots are often used for checking randomness in time series ?",
1061 "ans": "c",
1062 "opt": {
1063 "a": " Autocausation",
1064 "b": " Autorank",
1065 "c": " Autocorrelation",
1066 "d": " None of the Mentioned"
1067 }
1068 },
1069 {
1070 "name": "Question 97",
1071 "desc": "__________ plots are used to visually assess the uncertainty of a statistic.",
1072 "ans": "c",
1073 "opt": {
1074 "a": " Lag",
1075 "b": " RadViz",
1076 "c": " Bootstrap",
1077 "d": " None of the Mentioned"
1078 }
1079 },
1080 {
1081 "name": "Question 98",
1082 "desc": "Andrews curves allow one to plot multivariate data.\ra) True\rb) False\rView Answer",
1083 "ans": "a",
1084 "opt": {
1085 "a": "",
1086 "b": "",
1087 "c": "",
1088 "d": ""
1089 }
1090 },
1091 {
1092 "name": "Question 99",
1093 "desc": "Which of the following is used to compute the percent change over a given number of periods ?",
1094 "ans": "a",
1095 "opt": {
1096 "a": " pct_change",
1097 "b": " percent_change",
1098 "c": " per_change",
1099 "d": " none of the Mentioned"
1100 }
1101 },
1102 {
1103 "name": "Question 100",
1104 "desc": "Point out the correct statement:",
1105 "ans": "c",
1106 "opt": {
1107 "a": " Pandas represents timestamps in microsecond resolution",
1108 "b": " Pandas is 100% thread safe",
1109 "c": " For Series and DataFrame objects, var normalizes by N-1 to produce unbiased estimates",
1110 "d": " All of the Mentioned"
1111 }
1112 },
1113 {
1114 "name": "Question 101",
1115 "desc": "Which of the following object has a method cov to compute covariance between series ?",
1116 "ans": "a",
1117 "opt": {
1118 "a": " Series",
1119 "b": " DataFrame",
1120 "c": " Panel",
1121 "d": " None of the Mentioned"
1122 }
1123 },
1124 {
1125 "name": "Question 102",
1126 "desc": "Which of the following specifies the required minimum number of observations for each column pair in order to have a valid result ?",
1127 "ans": "a",
1128 "opt": {
1129 "a": " min_periods",
1130 "b": " max_periods",
1131 "c": " minimum_periods",
1132 "d": " all of the Mentioned"
1133 }
1134 },
1135 {
1136 "name": "Question 103",
1137 "desc": "Point out the wrong statement:",
1138 "ans": "c",
1139 "opt": {
1140 "a": " lxml is very fast",
1141 "b": " lxml requires Cython to install correctly",
1142 "c": " lxml does not make any guarantees about the results of it�s parse",
1143 "d": " none of the Mentioned"
1144 }
1145 },
1146 {
1147 "name": "Question 104",
1148 "desc": "Which of the following is implemented on DataFrame to compute the correlation between like-labeled Series contained in different DataFrame objects ?",
1149 "ans": "a",
1150 "opt": {
1151 "a": " corrwith",
1152 "b": " corwith",
1153 "c": " corwit",
1154 "d": " none of the Mentioned"
1155 }
1156 },
1157 {
1158 "name": "Question 105",
1159 "desc": "rolling_count function gives number of non-null observations.",
1160 "ans": "b",
1161 "opt": {
1162 "a": "ue",
1163 "b": "LSE",
1164 "c": "ne",
1165 "d": "ne"
1166 }
1167 },
1168 {
1169 "name": "Question 106",
1170 "desc": "Which of the following method produces a data ranking with ties being assigned the mean of the ranks for the group ?",
1171 "ans": "a",
1172 "opt": {
1173 "a": " rank",
1174 "b": " dense_rank",
1175 "c": " partition_rank",
1176 "d": " none of the Mentioned"
1177 }
1178 },
1179 {
1180 "name": "Question 107",
1181 "desc": "Which of the following can potentially change the dtype of a Series ?",
1182 "ans": "a",
1183 "opt": {
1184 "a": " reindex_like",
1185 "b": " index_like",
1186 "c": " itime_like",
1187 "d": " none of the Mentioned"
1188 }
1189 },
1190 {
1191 "name": "Question 108",
1192 "desc": "cov and corr supports the optional min_periods keyword.\r",
1193 "ans": "a",
1194 "opt": {
1195 "a": "ue",
1196 "b": "LSE",
1197 "c": "ne",
1198 "d": "ne"
1199 }
1200 },
1201 {
1202 "name": "Question 109",
1203 "desc": "Which of the following thing can be data in Pandas ?",
1204 "ans": "d",
1205 "opt": {
1206 "a": " a python dict",
1207 "b": " an ndarray",
1208 "c": " a scalar value",
1209 "d": " all of the Mentioned"
1210 }
1211 },
1212 {
1213 "name": "Question 110",
1214 "desc": "Point out the correct statement:",
1215 "ans": "b",
1216 "opt": {
1217 "a": " If data is a list, if index is passed the values in data corresponding to the labels in the index will be pulled out",
1218 "b": " NaN is the standard missing data marker used in pandas",
1219 "c": " Series acts very similarly to a array",
1220 "d": " None of the Mentioned"
1221 }
1222 },
1223 {
1224 "name": "Question 111",
1225 "desc": "The result of an operation between unaligned Series will have the ________ of the indexes involved.",
1226 "ans": "b",
1227 "opt": {
1228 "a": " intersection",
1229 "b": " union",
1230 "c": " total",
1231 "d": " all of the Mentioned"
1232 }
1233 },
1234 {
1235 "name": "Question 112",
1236 "desc": "Which of the following input can be accepted by DataFrame ?",
1237 "ans": "d",
1238 "opt": {
1239 "a": " Structured ndarray",
1240 "b": " Series",
1241 "c": " DataFrame",
1242 "d": " All of the Mentioned"
1243 }
1244 },
1245 {
1246 "name": "Question 113",
1247 "desc": "Point out the wrong statement:",
1248 "ans": "a",
1249 "opt": {
1250 "a": " A DataFrame is like a fixed-size dict in that you can get and set values by index label",
1251 "b": " Series can be be passed into most NumPy methods expecting an ndarray",
1252 "c": " A key difference between Series and ndarray is that operations between Series automatically align the data based on label",
1253 "d": " None of the Mentioned"
1254 }
1255 },
1256 {
1257 "name": "Question 114",
1258 "desc": "Which of the following takes a dict of dicts or a dict of array-like sequences and returns a DataFrame ?",
1259 "ans": "a",
1260 "opt": {
1261 "a": " DataFrame.from_items",
1262 "b": " DataFrame.from_records",
1263 "c": " DataFrame.from_dict",
1264 "d": " All of the Mentioned"
1265 }
1266 },
1267 {
1268 "name": "Question 115",
1269 "desc": "Series is a one-dimensional labeled array capable of holding any data type.",
1270 "ans": "a",
1271 "opt": {
1272 "a": "ue",
1273 "b": "LSE",
1274 "c": "ne",
1275 "d": "ne"
1276 }
1277 },
1278 {
1279 "name": "Question 116",
1280 "desc": "Which of the following works analogously to the form of the dict constructor ?",
1281 "ans": "a",
1282 "opt": {
1283 "a": " DataFrame.from_items",
1284 "b": " DataFrame.from_records",
1285 "c": " DataFrame.from_dict",
1286 "d": " All of the Mentioned"
1287 }
1288 },
1289 {
1290 "name": "Question 117",
1291 "desc": "Which of the following operation works with the same syntax as the analogous dict operations ?",
1292 "ans": "d",
1293 "opt": {
1294 "a": " Getting columns",
1295 "b": " Setting columns",
1296 "c": " Deleting columns",
1297 "d": " All of the Mentioned"
1298 }
1299 },
1300 {
1301 "name": "Question 118",
1302 "desc": "If data is an ndarray, index must be the same length as data.",
1303 "ans": "a",
1304 "opt": {
1305 "a": "ue",
1306 "b": "LSE",
1307 "c": "ne",
1308 "d": "ne"
1309 }
1310 },
1311 {
1312 "name": "Question 119",
1313 "desc": "All pandas data structures are ___-mutable but not always _______-mutable.",
1314 "ans": "c",
1315 "opt": {
1316 "a": " size,value",
1317 "b": " semantic,size",
1318 "c": " value,size",
1319 "d": " none of the Mentioned"
1320 }
1321 },
1322 {
1323 "name": "Question 120",
1324 "desc": "Point out the correct statement:",
1325 "ans": "d",
1326 "opt": {
1327 "a": " Pandas consist of set of labeled array data structures",
1328 "b": " Pandas consist of an integrated group by engine for aggregating and transforming data sets",
1329 "c": " Pandas consist of moving window statistics",
1330 "d": " All of the Mentioned"
1331 }
1332 },
1333 {
1334 "name": "Question 121",
1335 "desc": "Which of the following statement will import pandas?",
1336 "ans": "a",
1337 "opt": {
1338 "a": " import pandas as pd",
1339 "b": " import panda as py",
1340 "c": " import pandaspy as pd",
1341 "d": " all of the Mentioned"
1342 }
1343 },
1344 {
1345 "name": "Question 122",
1346 "desc": "Which of the following object you get after reading CSV file?",
1347 "ans": "a",
1348 "opt": {
1349 "a": " DataFrame",
1350 "b": " Character Vector",
1351 "c": " Panel",
1352 "d": " All of the Mentioned"
1353 }
1354 },
1355 {
1356 "name": "Question 123",
1357 "desc": "Point out the wrong statement:",
1358 "ans": "d",
1359 "opt": {
1360 "a": " Series is 1D labeled homogeneously-typed array",
1361 "b": " DataFrame is general 2D labeled, size-mutable tabular structure with potentially heterogeneously-typed columns",
1362 "c": " Panel is generally 2D labeled, also size-mutable array",
1363 "d": " None of the Mentioned"
1364 }
1365 },
1366 {
1367 "name": "Question 124",
1368 "desc": "Which of the following library is similar to Pandas ?",
1369 "ans": "a",
1370 "opt": {
1371 "a": " NumPy",
1372 "b": " RPy",
1373 "c": " OutPy",
1374 "d": " None of the Mentioned"
1375 }
1376 },
1377 {
1378 "name": "Question 125",
1379 "desc": "Panel is a container for Series, and DataFrame is a container for DataFrame Objects.",
1380 "ans": "b",
1381 "opt": {
1382 "a": "ue",
1383 "b": "LSE",
1384 "c": "ne",
1385 "d": "ne"
1386 }
1387 },
1388 {
1389 "name": "Question 126",
1390 "desc": "Which of the following is prominent python �statistics and econometrics library�?",
1391 "ans": "c",
1392 "opt": {
1393 "a": " Bokeh",
1394 "b": " Seaborn",
1395 "c": " Statsmodels",
1396 "d": " None of the Mentioned"
1397 }
1398 },
1399 {
1400 "name": "Question 127",
1401 "desc": "Which of the following is a foundational exploratory visualization package for the R language in pandas ecosystem ?",
1402 "ans": "a",
1403 "opt": {
1404 "a": " yhat",
1405 "b": " Seaborn",
1406 "c": " Vincent",
1407 "d": " None of the Mentioned"
1408 }
1409 },
1410 {
1411 "name": "Question 128",
1412 "desc": "Pandas consist of static and moving window linear and panel regression.",
1413 "ans": "a",
1414 "opt": {
1415 "a": "ue",
1416 "b": "LSE",
1417 "c": "ne",
1418 "d": "ne"
1419 }
1420 },
1421 {
1422 "name": "Question 129",
1423 "desc": "Quandl API for Python wraps the ________ REST API to return Pandas DataFrames with time series indexes.",
1424 "ans": "a",
1425 "opt": {
1426 "a": " Quandl",
1427 "b": " PyDatastream",
1428 "c": " PyData",
1429 "d": " None of the Mentioned"
1430 }
1431 },
1432 {
1433 "name": "Question 130",
1434 "desc": "Point out the correct statement:",
1435 "ans": "a",
1436 "opt": {
1437 "a": " Statsmodels provides powerful statistics, econometrics, analysis and modeling functionality that is out of pandas� scope",
1438 "b": " Vintage leverages pandas objects as the underlying data container for computation",
1439 "c": " Bokeh is a Python interactive visualization library for small datasets",
1440 "d": " All of the Mentioned"
1441 }
1442 },
1443 {
1444 "name": "Question 131",
1445 "desc": "Which of the following library is used to retrieve and acquire statistical data and metadata disseminated in SDMX 2.1?",
1446 "ans": "a",
1447 "opt": {
1448 "a": " pandaSDMX",
1449 "b": " freedapi",
1450 "c": " Geopandas",
1451 "d": " All of the Mentioned"
1452 }
1453 },
1454 {
1455 "name": "Question 132",
1456 "desc": "Which of the following provides a standard API for doing computations with MongoDB?",
1457 "ans": "a",
1458 "opt": {
1459 "a": " Blaze",
1460 "b": " Geopandas",
1461 "c": " FRED",
1462 "d": " All of the Mentioned"
1463 }
1464 },
1465 {
1466 "name": "Question 133",
1467 "desc": "Point out the wrong statement:",
1468 "ans": "c",
1469 "opt": {
1470 "a": " qgrid is an interactive grid for sorting and filtering DataFrames",
1471 "b": " Pandas DataFrames implement _repr_html_ methods which are utilized by IPython Notebook",
1472 "c": " Spyder is a cross-platform Qt-based open-source R IDE",
1473 "d": " None of the Mentioned"
1474 }
1475 },
1476 {
1477 "name": "Question 134",
1478 "desc": "Which of the following makes use of pandas and returns data in a Series or DataFrame?",
1479 "ans": "b",
1480 "opt": {
1481 "a": " pandaSDMX",
1482 "b": " freedapi",
1483 "c": " OutPy",
1484 "d": " none of the Mentioned"
1485 }
1486 },
1487 {
1488 "name": "Question 135",
1489 "desc": "Spyder can introspect and display Pandas DataFrames.",
1490 "ans": "b",
1491 "opt": {
1492 "a": "ue",
1493 "b": "LSE",
1494 "c": "ne",
1495 "d": "ne"
1496 }
1497 },
1498 {
1499 "name": "Question 136",
1500 "desc": "Which of the following is used for machine learning in python?",
1501 "ans": "a",
1502 "opt": {
1503 "a": " scikit-learn",
1504 "b": " seaborn-learn",
1505 "c": " stats-learn",
1506 "d": " none of the Mentioned"
1507 }
1508 },
1509 {
1510 "name": "Question 137",
1511 "desc": "The ________ project builds on top of pandas and matplotlib to provide easy plotting of data.",
1512 "ans": "b",
1513 "opt": {
1514 "a": " yhat",
1515 "b": " Seaborn",
1516 "c": " Vincent",
1517 "d": " None of the Mentioned"
1518 }
1519 },
1520 {
1521 "name": "Question 138",
1522 "desc": "x-ray brings the labeled data power of pandas to the physical sciences.\r",
1523 "ans": "a",
1524 "opt": {
1525 "a": "ue",
1526 "b": "LSE",
1527 "c": "ne",
1528 "d": "ne"
1529 }
1530 },
1531 {
1532 "name": "Question 139",
1533 "desc": "Which of the following is the base layer for all of the sparse indexed data structures ?",
1534 "ans": "b",
1535 "opt": {
1536 "a": " SArray",
1537 "b": " SparseArray",
1538 "c": " PyArray",
1539 "d": " None of the Mentioned"
1540 }
1541 },
1542 {
1543 "name": "Question 140",
1544 "desc": "Point out the correct statement:",
1545 "ans": "d",
1546 "opt": {
1547 "a": " All of the standard pandas data structures have a to_sparse method",
1548 "b": " Any sparse object can be converted back to the standard dense form by calling to_dense",
1549 "c": " The sparse objects exist for memory efficiency reasons",
1550 "d": " All of the Mentioned"
1551 }
1552 },
1553 {
1554 "name": "Question 141",
1555 "desc": "Which of the following is not a indexed object ?",
1556 "ans": "d",
1557 "opt": {
1558 "a": " SparseSeries",
1559 "b": " SparseDataFrame",
1560 "c": " SparsePanel",
1561 "d": " None of the Mentioned"
1562 }
1563 },
1564 {
1565 "name": "Question 142",
1566 "desc": "Which of the following list-like data structure is used for managing a dynamic collection of SparseArrays ?",
1567 "ans": "a",
1568 "opt": {
1569 "a": " SparseList",
1570 "b": " GeoList",
1571 "c": " SparseSeries",
1572 "d": " All of the Mentioned"
1573 }
1574 },
1575 {
1576 "name": "Question 143",
1577 "desc": "Point out the wrong statement:",
1578 "ans": "a",
1579 "opt": {
1580 "a": " to_array. append can accept scalar values or any 2-dimensional sequence",
1581 "b": " Two kinds of SparseIndex are implemented",
1582 "c": " The integer format keeps an arrays of all of the locations where the data are not equal to the fill value",
1583 "d": " None of the Mentioned"
1584 }
1585 },
1586 {
1587 "name": "Question 144",
1588 "desc": "Which of the following method is used for transforming a SparseSeries indexed by a MultiIndex to a scipy.sparse.coo_matrix ?",
1589 "ans": "a",
1590 "opt": {
1591 "a": " SparseSeries.to_coo()",
1592 "b": " Series.to_coo()",
1593 "c": " SparseSeries.to_cooser()",
1594 "d": " None of the Mentioned"
1595 }
1596 },
1597 {
1598 "name": "Question 145",
1599 "desc": "The integer format tracks only the locations and sizes of blocks of data.",
1600 "ans": "b",
1601 "opt": {
1602 "a": "ue",
1603 "b": "LSE",
1604 "c": "ne",
1605 "d": "ne"
1606 }
1607 },
1608 {
1609 "name": "Question 146",
1610 "desc": "Which of the following is used for testing for membership in the list of column names ?",
1611 "ans": "a",
1612 "opt": {
1613 "a": " in",
1614 "b": " out",
1615 "c": " elseif",
1616 "d": " none of the Mentioned"
1617 }
1618 },
1619 {
1620 "name": "Question 147",
1621 "desc": "Which of the following indexing capabilities is used as a concise means of selecting data from a pandas object ?",
1622 "ans": "b",
1623 "opt": {
1624 "a": " In",
1625 "b": " ix",
1626 "c": " ipy",
1627 "d": " none of the Mentioned"
1628 }
1629 },
1630 {
1631 "name": "Question 148",
1632 "desc": "Pandas follows the NumPy convention of raising an error when you try to convert something to a bool.",
1633 "ans": "a",
1634 "opt": {
1635 "a": "ue",
1636 "b": "LSE",
1637 "c": "ne",
1638 "d": "ne"
1639 }
1640 },
1641 {
1642 "name": "Question 149",
1643 "desc": "Which of the following block information is odd man out ?",
1644 "ans": "b",
1645 "opt": {
1646 "a": "",
1647 "b": " Subsetting",
1648 "c": "ne",
1649 "d": " Ready for Analysis"
1650 }
1651 },
1652 {
1653 "name": "Question 150",
1654 "desc": "Point out the correct statement:",
1655 "ans": "a",
1656 "opt": {
1657 "a": " Data has only qualitative value",
1658 "b": " Data has only quantitative value",
1659 "c": " Data has both qualitative and quantitative value",
1660 "d": " None of the Mentioned"
1661 }
1662 },
1663 {
1664 "name": "Question 151",
1665 "desc": "Data that summarize all observations in a category are called __________ data.",
1666 "ans": "b",
1667 "opt": {
1668 "a": " frequency",
1669 "b": " summarized",
1670 "c": " raw",
1671 "d": " None of the Mentioned"
1672 }
1673 },
1674 {
1675 "name": "Question 152",
1676 "desc": "Which of the following is example of raw data?",
1677 "ans": "d",
1678 "opt": {
1679 "a": " original swath files generated from a sonar system",
1680 "b": " initial time-series file of temperature values",
1681 "c": " a real-time GPS-encoded navigation file",
1682 "d": " All of the Mentioned"
1683 }
1684 },
1685 {
1686 "name": "Question 153",
1687 "desc": "Point out the correct statement:",
1688 "ans": "a",
1689 "opt": {
1690 "a": " Primary data is original source of data",
1691 "b": " Secondary data is original source of data",
1692 "c": " Questions are obtained after data processing steps",
1693 "d": " None of the Mentioned"
1694 }
1695 },
1696 {
1697 "name": "Question 154",
1698 "desc": "Which of the following data is put into a formula to produce commonly accepted results?",
1699 "ans": "b",
1700 "opt": {
1701 "a": " Raw",
1702 "b": " Processed",
1703 "c": " Synchronized",
1704 "d": " All of the Mentioned"
1705 }
1706 },
1707 {
1708 "name": "Question 155",
1709 "desc": "Processing data includes subsetting,formatting and merging only.",
1710 "ans": "b",
1711 "opt": {
1712 "a": "ue",
1713 "b": "LSE",
1714 "c": "ne",
1715 "d": "ne"
1716 }
1717 },
1718 {
1719 "name": "Question 156",
1720 "desc": "Which of the following is another name for raw data?",
1721 "ans": "b",
1722 "opt": {
1723 "a": " destination data",
1724 "b": " eggy data",
1725 "c": " secondary",
1726 "d": " Machine Learning"
1727 }
1728 },
1729 {
1730 "name": "Question 157",
1731 "desc": "Which type of data is generated by POS terminal in a busy supermarket each day ?",
1732 "ans": "a",
1733 "opt": {
1734 "a": " source",
1735 "b": " Processed",
1736 "c": " Synchronized",
1737 "d": " All of the Mentioned"
1738 }
1739 },
1740 {
1741 "name": "Question 158",
1742 "desc": "Following figure represents correct sequence of steps in performing data analysis.",
1743 "ans": "a",
1744 "opt": {
1745 "a": "ue",
1746 "b": "LSE",
1747 "c": "ne",
1748 "d": "ne"
1749 }
1750 },
1751 {
1752 "name": "Question 159",
1753 "desc": "Which of the following is example of tidy data ?",
1754 "ans": "d",
1755 "opt": {
1756 "a": " complicated JSON from facebook API",
1757 "b": " complicated JSON from Twitter API",
1758 "c": " unformatted Excel file",
1759 "d": " all of the Mentioned"
1760 }
1761 },
1762 {
1763 "name": "Question 160",
1764 "desc": "Point out the correct statement:",
1765 "ans": "c",
1766 "opt": {
1767 "a": " Nearly 80% of data analysis is spent on wrangling data",
1768 "b": " Nearly 20% of data analysis is spent on data dredging",
1769 "c": " Nearly 80% of data analysis is spent on the cleaning and preparing data",
1770 "d": " None of the Mentioned"
1771 }
1772 },
1773 {
1774 "name": "Question 161",
1775 "desc": "Which of the following is a trait of tidy data ?",
1776 "ans": "b",
1777 "opt": {
1778 "a": " each variable in one column",
1779 "b": " each observation in different row",
1780 "c": " one table for each kind of variable",
1781 "d": " none of the Mentioned"
1782 }
1783 },
1784 {
1785 "name": "Question 162",
1786 "desc": "Which of the following package is used for tidy data ?",
1787 "ans": "a",
1788 "opt": {
1789 "a": " tidyr",
1790 "b": " souryr",
1791 "c": " NumPy",
1792 "d": " all of the Mentioned"
1793 }
1794 },
1795 {
1796 "name": "Question 163",
1797 "desc": "Point out the wrong statement:",
1798 "ans": "d",
1799 "opt": {
1800 "a": " Tidy datasets are all alike but every messy dataset is messy in its own way",
1801 "b": " Most statistical datasets are data frames made up of rows and columns",
1802 "c": " Tidy datasets provide a standardized way to link the structure of a dataset with its semantics",
1803 "d": " None of the Mentioned"
1804 }
1805 },
1806 {
1807 "name": "Question 164",
1808 "desc": "Which of the following process involves structuring datasets to facilitate analysis ?",
1809 "ans": "a",
1810 "opt": {
1811 "a": " Data tidying",
1812 "b": " Data mining",
1813 "c": " Data booting",
1814 "d": " All of the Mentioned"
1815 }
1816 },
1817 {
1818 "name": "Question 165",
1819 "desc": "Strange binary file generated from machines is example of tidy data.\r",
1820 "ans": "b",
1821 "opt": {
1822 "a": "ue",
1823 "b": "LSE",
1824 "c": "ne",
1825 "d": "ne"
1826 }
1827 },
1828 {
1829 "name": "Question 166",
1830 "desc": "Which of the following is most common problem with messy data ?",
1831 "ans": "d",
1832 "opt": {
1833 "a": " Column headers are values",
1834 "b": " Variables are stored in both rows and columns",
1835 "c": " A single observational unit is stored in multiple tables",
1836 "d": " All of the mentioned"
1837 }
1838 },
1839 {
1840 "name": "Question 167",
1841 "desc": "tidyr is a reframing of _______ designed to accompany the tidy data framework.",
1842 "ans": "c",
1843 "opt": {
1844 "a": " reshape5",
1845 "b": " dplyr",
1846 "c": " reshape2",
1847 "d": " all of the Mentioned"
1848 }
1849 },
1850 {
1851 "name": "Question 168",
1852 "desc": "Raw data in the real-world is tidy and properly formatted.",
1853 "ans": "a",
1854 "opt": {
1855 "a": "ue",
1856 "b": "LSE",
1857 "c": "ne",
1858 "d": "ne"
1859 }
1860 },
1861 {
1862 "name": "Question 169",
1863 "desc": "Which of the following function is used for loading flat files ?",
1864 "ans": "c",
1865 "opt": {
1866 "a": " read.data",
1867 "b": " read.sheet",
1868 "c": " read.table",
1869 "d": " none of the Mentioned"
1870 }
1871 },
1872 {
1873 "name": "Question 170",
1874 "desc": "Point out the correct statement:",
1875 "ans": "c",
1876 "opt": {
1877 "a": " XLConnect package has more options for manipulating access files",
1878 "b": " XLConnect vignette package can also be used for manipulating excel files",
1879 "c": " write.xlsx write out an excel file with different argument",
1880 "d": " None of the Mentioned"
1881 }
1882 },
1883 {
1884 "name": "Question 171",
1885 "desc": "Which of the following is an important parameter of read.table function ?",
1886 "ans": "d",
1887 "opt": {
1888 "a": " file",
1889 "b": " header",
1890 "c": " sep",
1891 "d": " all of the Mentioned"
1892 }
1893 },
1894 {
1895 "name": "Question 172",
1896 "desc": "Which of the following will set the character that represents missing value ?",
1897 "ans": "b",
1898 "opt": {
1899 "a": " na.quote",
1900 "b": " na.strings",
1901 "c": " nrows",
1902 "d": " all of the Mentioned"
1903 }
1904 },
1905 {
1906 "name": "Question 173",
1907 "desc": "Point out the wrong statement:",
1908 "ans": "b",
1909 "opt": {
1910 "a": " data.table inherits from data.frame",
1911 "b": " data.table is written in Java",
1912 "c": " data.table is faster at subsetting and updating data",
1913 "d": " none of the Mentioned"
1914 }
1915 },
1916 {
1917 "name": "Question 174",
1918 "desc": "Which of the following package is used for reading excel data ?",
1919 "ans": "a",
1920 "opt": {
1921 "a": " xlsx",
1922 "b": " xlsc",
1923 "c": " read.sheet",
1924 "d": " all of the Mentioned"
1925 }
1926 },
1927 {
1928 "name": "Question 175",
1929 "desc": "Which of the following can be used to view all the tables in memory ?",
1930 "ans": "a",
1931 "opt": {
1932 "a": " tables",
1933 "b": " alltable",
1934 "c": " table",
1935 "d": " none of the Mentioned"
1936 }
1937 },
1938 {
1939 "name": "Question 176",
1940 "desc": "Which of the following function programmatically extract parts of XML file ?",
1941 "ans": "a",
1942 "opt": {
1943 "a": " XmlSApply",
1944 "b": " XmlApply",
1945 "c": " XmlSApplyData",
1946 "d": " All of the mentioned"
1947 }
1948 },
1949 {
1950 "name": "Question 177",
1951 "desc": "Which of the following package is used for reading JSON data ?",
1952 "ans": "a",
1953 "opt": {
1954 "a": " jsonlite",
1955 "b": " json",
1956 "c": " jsondata",
1957 "d": " all of the Mentioned"
1958 }
1959 },
1960 {
1961 "name": "Question 178",
1962 "desc": "Extracting XML is the basis for most web scraping",
1963 "ans": "a",
1964 "opt": {
1965 "a": "ue",
1966 "b": "LSE",
1967 "c": "ne",
1968 "d": "ne"
1969 }
1970 },
1971 {
1972 "name": "Question 179",
1973 "desc": "Which of the following package is used to connect MySQL RDBMS with R ?",
1974 "ans": "a",
1975 "opt": {
1976 "a": " RMySQL vignette",
1977 "b": " MySQL vignette",
1978 "c": " RSQL vignette",
1979 "d": " None of the Mentioned"
1980 }
1981 },
1982 {
1983 "name": "Question 180",
1984 "desc": "Point out the correct statement:",
1985 "ans": "a",
1986 "opt": {
1987 "a": " HDF5 is a hierarchical format",
1988 "b": " HDF5 does not support range of different data types",
1989 "c": " HDF5 is used for storing small datasets",
1990 "d": " None of the Mentioned"
1991 }
1992 },
1993 {
1994 "name": "Question 181",
1995 "desc": "Which of the following is used to extract data from HTML code of websites ?",
1996 "ans": "a",
1997 "opt": {
1998 "a": " Webscraping",
1999 "b": " Webdredging",
2000 "c": " Webcleaning",
2001 "d": " All of the Mentioned"
2002 }
2003 },
2004 {
2005 "name": "Question 182",
2006 "desc": "Which of the following function is used to read data off the webpages ?",
2007 "ans": "b",
2008 "opt": {
2009 "a": " read.web",
2010 "b": " read.Lines",
2011 "c": " read.Line",
2012 "d": " all of the Mentioned"
2013 }
2014 },
2015 {
2016 "name": "Question 183",
2017 "desc": "Point out the wrong statement:",
2018 "ans": "b",
2019 "opt": {
2020 "a": " hdf5 can be used to reading/writing from disc in Python",
2021 "b": " rhdf5 is interface for hdf5 format",
2022 "c": " Maximum size of an HDF5 dataset is fixed when it is created",
2023 "d": " all of the Mentioned"
2024 }
2025 },
2026 {
2027 "name": "Question 184",
2028 "desc": "Which of the following package is used for reading HTML and XML data ?",
2029 "ans": "a",
2030 "opt": {
2031 "a": " httr",
2032 "b": " http",
2033 "c": " httx",
2034 "d": " all of the Mentioned"
2035 }
2036 },
2037 {
2038 "name": "Question 185",
2039 "desc": "httr package does not work well with facebook and twitter API.",
2040 "ans": "b",
2041 "opt": {
2042 "a": "ue",
2043 "b": "LSE",
2044 "c": "ne",
2045 "d": "ne"
2046 }
2047 },
2048 {
2049 "name": "Question 186",
2050 "desc": "Which of the following request can be issued from httr package ?",
2051 "ans": "d",
2052 "opt": {
2053 "a": " GET",
2054 "b": " PUT",
2055 "c": " DELETE",
2056 "d": " All of the mentioned"
2057 }
2058 },
2059 {
2060 "name": "Question 187",
2061 "desc": "Which of the following package loads data from SPSS ?",
2062 "ans": "a",
2063 "opt": {
2064 "a": " read.spss(SPSS)",
2065 "b": " read.oct(SPSS)",
2066 "c": " read.xpot(SPSS)",
2067 "d": " all of the Mentioned"
2068 }
2069 },
2070 {
2071 "name": "Question 188",
2072 "desc": "Which of the following package is used for reading GIS data ?",
2073 "ans": "d",
2074 "opt": {
2075 "a": " rdgal",
2076 "b": " rgeos",
2077 "c": " raster",
2078 "d": " all of the Mentioned"
2079 }
2080 },
2081 {
2082 "name": "Question 189",
2083 "desc": "Which of the following function gives information about top level data ?",
2084 "ans": "a",
2085 "opt": {
2086 "a": " head",
2087 "b": " tail",
2088 "c": " summary",
2089 "d": " none of the Mentioned"
2090 }
2091 },
2092 {
2093 "name": "Question 190",
2094 "desc": "Point out the correct statement:",
2095 "ans": "d",
2096 "opt": {
2097 "a": " head function work on string",
2098 "b": " tail function work on string",
2099 "c": " head function work on string but tail function do not",
2100 "d": " none of the Mentioned"
2101 }
2102 },
2103 {
2104 "name": "Question 191",
2105 "desc": "Which of the following function is used for quantiles of quantitative values ?",
2106 "ans": "a",
2107 "opt": {
2108 "a": " quantile",
2109 "b": " quantity",
2110 "c": " quantiles",
2111 "d": " all of the Mentioned"
2112 }
2113 },
2114 {
2115 "name": "Question 192",
2116 "desc": "Which of the following function is used for determining missing values ?",
2117 "ans": "d",
2118 "opt": {
2119 "a": " any",
2120 "b": " all",
2121 "c": " is",
2122 "d": " all of the Mentioned"
2123 }
2124 },
2125 {
2126 "name": "Question 193",
2127 "desc": "Point out the wrong statement:",
2128 "ans": "c",
2129 "opt": {
2130 "a": " Common variables are used to create missingness vector",
2131 "b": " Common variables are used to cutting up quantitative variables",
2132 "c": " Common variables are not used to apply transforms",
2133 "d": " All of the Mentioned"
2134 }
2135 },
2136 {
2137 "name": "Question 194",
2138 "desc": "Which of the following transforms can be performed with data value ?",
2139 "ans": "d",
2140 "opt": {
2141 "a": " log2",
2142 "b": " cos",
2143 "c": " log10",
2144 "d": " all of the Mentioned"
2145 }
2146 },
2147 {
2148 "name": "Question 195",
2149 "desc": "Each observation forms a column in tidy data.",
2150 "ans": "b",
2151 "opt": {
2152 "a": "ue",
2153 "b": "LSE",
2154 "c": "ne",
2155 "d": "ne"
2156 }
2157 },
2158 {
2159 "name": "Question 196",
2160 "desc": "Which of the following function is used for casting data frames ?",
2161 "ans": "a",
2162 "opt": {
2163 "a": " dcast",
2164 "b": " ucast",
2165 "c": " rcast",
2166 "d": " all of the mentioned"
2167 }
2168 },
2169 {
2170 "name": "Question 197",
2171 "desc": "Which of the following join is by default used in plyr package ?",
2172 "ans": "a",
2173 "opt": {
2174 "a": " left",
2175 "b": " right",
2176 "c": " full",
2177 "d": " all of the Mentioned"
2178 }
2179 },
2180 {
2181 "name": "Question 198",
2182 "desc": "mutate function is used for casting as multi dimensional arrays.",
2183 "ans": "b",
2184 "opt": {
2185 "a": "ue",
2186 "b": "LSE",
2187 "c": "ne",
2188 "d": "ne"
2189 }
2190 },
2191 {
2192 "name": "Question 199",
2193 "desc": "Which of the following function is good for automatic splitting of names?",
2194 "ans": "b",
2195 "opt": {
2196 "a": " split",
2197 "b": " strsplit",
2198 "c": " autsplit",
2199 "d": " none of the Mentioned"
2200 }
2201 },
2202 {
2203 "name": "Question 200",
2204 "desc": "Point out the correct statement:",
2205 "ans": "a",
2206 "opt": {
2207 "a": " gsub is used for fixing character vectors",
2208 "b": " sub is used for finding values like grep",
2209 "c": " grep is used for fixing character vectors",
2210 "d": " none of the Mentioned"
2211 }
2212 },
2213 {
2214 "name": "Question 201",
2215 "desc": "Which of the following function is used for fixing character vectors?",
2216 "ans": "a",
2217 "opt": {
2218 "a": " tolower",
2219 "b": " toUPPER",
2220 "c": " toLOWER",
2221 "d": " all of the Mentioned"
2222 }
2223 },
2224 {
2225 "name": "Question 202",
2226 "desc": "Which of the following metacharacter is used to refer to any character?",
2227 "ans": "c",
2228 "opt": {
2229 "a": " %",
2230 "b": " @",
2231 "c": " .",
2232 "d": " All of the Mentioned"
2233 }
2234 },
2235 {
2236 "name": "Question 203",
2237 "desc": "Point out the wrong statement:",
2238 "ans": "a",
2239 "opt": {
2240 "a": " Variables with character values should be made less descriptive",
2241 "b": " Variables with character values should usually be made into factor variable",
2242 "c": " Common variables are used to apply transforms",
2243 "d": " All of the Mentioned"
2244 }
2245 },
2246 {
2247 "name": "Question 204",
2248 "desc": "Which of the following is used for specifying character class with metacharacter?",
2249 "ans": "a",
2250 "opt": {
2251 "a": " [].",
2252 "b": " {}",
2253 "c": " /+",
2254 "d": " All of the Mentioned"
2255 }
2256 },
2257 {
2258 "name": "Question 205",
2259 "desc": "Regular expressions can be thought of as combination of literals and metacharacters.",
2260 "ans": "a",
2261 "opt": {
2262 "a": "ue",
2263 "b": "LSE",
2264 "c": "ne",
2265 "d": "ne"
2266 }
2267 },
2268 {
2269 "name": "Question 206",
2270 "desc": "Which of the following signs are used to indicate repetition?",
2271 "ans": "b",
2272 "opt": {
2273 "a": " #",
2274 "b": " *",
2275 "c": " �",
2276 "d": " All of the mentioned"
2277 }
2278 },
2279 {
2280 "name": "Question 207",
2281 "desc": "Which of the following function is used for searching text strings by means of regular expression?",
2282 "ans": "b",
2283 "opt": {
2284 "a": " grepd",
2285 "b": " grepl",
2286 "c": " gepexpr",
2287 "d": " all of the Mentioned"
2288 }
2289 },
2290 {
2291 "name": "Question 208",
2292 "desc": "merge function is used for merging data frames.",
2293 "ans": "a",
2294 "opt": {
2295 "a": "ue",
2296 "b": "LSE",
2297 "c": "ne",
2298 "d": "ne"
2299 }
2300 },
2301 {
2302 "name": "Question 209",
2303 "desc": "Which of the the following graphic device information is odd man out in the below figure ?",
2304 "ans": "c",
2305 "opt": {
2306 "a": "",
2307 "b": " quartz",
2308 "c": " window",
2309 "d": " unix"
2310 }
2311 },
2312 {
2313 "name": "Question 210",
2314 "desc": "Point out the correct statement:",
2315 "ans": "a",
2316 "opt": {
2317 "a": " On Mac, the screen device is launched with quartz",
2318 "b": " On Windows, the screen device is launched with wind",
2319 "c": " On Unix, the screen device is launched with x12",
2320 "d": " All of the mentioned"
2321 }
2322 },
2323 {
2324 "name": "Question 211",
2325 "desc": "Which of the following is an example of graphics device ?",
2326 "ans": "d",
2327 "opt": {
2328 "a": " PDF",
2329 "b": " SVG",
2330 "c": " JPEG",
2331 "d": " All of the Mentioned"
2332 }
2333 },
2334 {
2335 "name": "Question 212",
2336 "desc": "Which of the following file format is graphic device only for windows ?",
2337 "ans": "c",
2338 "opt": {
2339 "a": " pdf",
2340 "b": " svg",
2341 "c": " win.metafile",
2342 "d": " All of the Mentioned"
2343 }
2344 },
2345 {
2346 "name": "Question 213",
2347 "desc": "Point out the wrong statement:",
2348 "ans": "b",
2349 "opt": {
2350 "a": " For quick visualizations and exploratory analysis, usually you want to use the screen device",
2351 "b": " Functions like xyplot in lattice will not default to sending a plot to the screen device",
2352 "c": " Not all graphics devices are available on all platforms",
2353 "d": " None of the mentioned"
2354 }
2355 },
2356 {
2357 "name": "Question 214",
2358 "desc": "Which of the following system most often don�t have postscript viewer ?",
2359 "ans": "a",
2360 "opt": {
2361 "a": "ndows",
2362 "b": " Linux",
2363 "c": " Mac",
2364 "d": " All of the Mentioned"
2365 }
2366 },
2367 {
2368 "name": "Question 215",
2369 "desc": "There are mainly three types of file devices.",
2370 "ans": "b",
2371 "opt": {
2372 "a": "ue",
2373 "b": "LSE",
2374 "c": "ne",
2375 "d": "ne"
2376 }
2377 },
2378 {
2379 "name": "Question 216",
2380 "desc": "Which of the following is a bitmap file type ?",
2381 "ans": "c",
2382 "opt": {
2383 "a": " tiff",
2384 "b": " svg",
2385 "c": " pdf",
2386 "d": " none of the Mentioned"
2387 }
2388 },
2389 {
2390 "name": "Question 217",
2391 "desc": "Which of the following function displays currently active graphics device ?",
2392 "ans": "b",
2393 "opt": {
2394 "a": " dev.present",
2395 "b": " dev.cur",
2396 "c": " pre.cur",
2397 "d": " all of the Mentioned"
2398 }
2399 },
2400 {
2401 "name": "Question 218",
2402 "desc": "The most familiar place for a plot to be �sent� is screen device.",
2403 "ans": "a",
2404 "opt": {
2405 "a": "ue",
2406 "b": "LSE",
2407 "c": "ne",
2408 "d": "ne"
2409 }
2410 },
2411 {
2412 "name": "Question 219",
2413 "desc": "Which of the following function has parameters shown in the below figure ?",
2414 "ans": "a",
2415 "opt": {
2416 "a": "",
2417 "b": " par",
2418 "c": " bar",
2419 "d": " base"
2420 }
2421 },
2422 {
2423 "name": "Question 220",
2424 "desc": "Point out the correct statement:",
2425 "ans": "a",
2426 "opt": {
2427 "a": " Vector formats are good for line drawings and plots with solid colors using a modest number of points",
2428 "b": " Vector formats are good for plots with a large number of points, natural scenes or web based plots",
2429 "c": " The default graphics device is always the screen device",
2430 "d": " All of the Mentioned"
2431 }
2432 },
2433 {
2434 "name": "Question 221",
2435 "desc": "Which of the following will copy the plot from one device to another ?",
2436 "ans": "a",
2437 "opt": {
2438 "a": " dev.copy",
2439 "b": " dev.copypdf",
2440 "c": " dev.device",
2441 "d": " all of the Mentioned"
2442 }
2443 },
2444 {
2445 "name": "Question 222",
2446 "desc": "Which of the following is used to change active graphic device ?",
2447 "ans": "a",
2448 "opt": {
2449 "a": " dev.set",
2450 "b": " dev.int",
2451 "c": " dev.win",
2452 "d": " all of the Mentioned"
2453 }
2454 },
2455 {
2456 "name": "Question 223",
2457 "desc": "Point out the wrong statement:",
2458 "ans": "d",
2459 "opt": {
2460 "a": " File devices are useful for creating plots that can be included in other documents or sent to other people",
2461 "b": " Plots must be created on a graphics device",
2462 "c": " For file devices, there are vector and bitmap formats",
2463 "d": " None of the Mentioned"
2464 }
2465 },
2466 {
2467 "name": "Question 224",
2468 "desc": "Which of the following is second goal of PCA ?",
2469 "ans": "a",
2470 "opt": {
2471 "a": " data compression",
2472 "b": " statistical analysis",
2473 "c": " data dredging",
2474 "d": " all of the Mentioned"
2475 }
2476 },
2477 {
2478 "name": "Question 225",
2479 "desc": "dev.copy2pdf specifically copy a plot to a PDF file.",
2480 "ans": "a",
2481 "opt": {
2482 "a": "ue",
2483 "b": "LSE",
2484 "c": "ne",
2485 "d": "ne"
2486 }
2487 },
2488 {
2489 "name": "Question 226",
2490 "desc": "Which of the following is a vector file device ?",
2491 "ans": "b",
2492 "opt": {
2493 "a": " png",
2494 "b": " svg",
2495 "c": " bmp",
2496 "d": " none of the Mentioned"
2497 }
2498 },
2499 {
2500 "name": "Question 227",
2501 "desc": "Which of the following is alternative technique to Principal Component Analysis ?",
2502 "ans": "d",
2503 "opt": {
2504 "a": " Factor Analysis",
2505 "b": " Independent components analysis",
2506 "c": " Latent semantic analysis",
2507 "d": " All of the Mentioned"
2508 }
2509 },
2510 {
2511 "name": "Question 228",
2512 "desc": "Every open graphics device is assigned an integer greater than 2.",
2513 "ans": "b",
2514 "opt": {
2515 "a": "ue",
2516 "b": "LSE",
2517 "c": "ne",
2518 "d": "ne"
2519 }
2520 },
2521 {
2522 "name": "Question 229",
2523 "desc": "Which of the following block information is odd man out in the below figure ?",
2524 "ans": "b",
2525 "opt": {
2526 "a": "",
2527 "b": " Scatterplots",
2528 "c": " 5 number summary",
2529 "d": " 2D Graph"
2530 }
2531 },
2532 {
2533 "name": "Question 230",
2534 "desc": "Which type of graph is shown in the following figure ?",
2535 "ans": "b",
2536 "opt": {
2537 "a": "",
2538 "b": " Scatterplot",
2539 "c": " Barplot",
2540 "d": " Overlaying"
2541 }
2542 },
2543 {
2544 "name": "Question 231",
2545 "desc": "Which of the following annotation function is used to add or modify text ?",
2546 "ans": "d",
2547 "opt": {
2548 "a": " word",
2549 "b": " graph",
2550 "c": " lines",
2551 "d": " all of the Mentioned"
2552 }
2553 },
2554 {
2555 "name": "Question 232",
2556 "desc": "Which of the following package is implemented by lattice plotting system ?",
2557 "ans": "b",
2558 "opt": {
2559 "a": " grDevices",
2560 "b": " grid",
2561 "c": " graphics",
2562 "d": " all of the Mentioned"
2563 }
2564 },
2565 {
2566 "name": "Question 233",
2567 "desc": "Point out the wrong statement:",
2568 "ans": "a",
2569 "opt": {
2570 "a": " Plot are created with multiple functions only",
2571 "b": " Plots are created with both single and multiple function calls",
2572 "c": " Annotation in plot is not especially intuitive",
2573 "d": " None of the Mentioned"
2574 }
2575 },
2576 {
2577 "name": "Question 234",
2578 "desc": "Which of the following parameter defines line type such as dashed and dotted ?",
2579 "ans": "a",
2580 "opt": {
2581 "a": " lty",
2582 "b": " pch",
2583 "c": " lwd",
2584 "d": " all of the Mentioned"
2585 }
2586 },
2587 {
2588 "name": "Question 235",
2589 "desc": "The core plotting engine is encapsulated in graphics package.",
2590 "ans": "a",
2591 "opt": {
2592 "a": "ue",
2593 "b": "LSE",
2594 "c": "ne",
2595 "d": "ne"
2596 }
2597 },
2598 {
2599 "name": "Question 236",
2600 "desc": "Which of the following argument specifies margin size with regards to par function ?",
2601 "ans": "c",
2602 "opt": {
2603 "a": " las",
2604 "b": " bg",
2605 "c": " mar",
2606 "d": " All of the mentioned"
2607 }
2608 },
2609 {
2610 "name": "Question 237",
2611 "desc": "How many stages commonly occurs in creation of plot ?",
2612 "ans": "a",
2613 "opt": {
2614 "a": " 2",
2615 "b": " 5",
2616 "c": " 8",
2617 "d": " All of the Mentioned"
2618 }
2619 },
2620 {
2621 "name": "Question 238",
2622 "desc": "Base graphics are used most commonly for creating 2D graphics.",
2623 "ans": "a",
2624 "opt": {
2625 "a": "ue",
2626 "b": "LSE",
2627 "c": "ne",
2628 "d": "ne"
2629 }
2630 },
2631 {
2632 "name": "Question 239",
2633 "desc": "Which of the following clustering type has characteristic shown in the below figure ?",
2634 "ans": "b",
2635 "opt": {
2636 "a": "",
2637 "b": " Partitional",
2638 "c": " Hierarchical",
2639 "d": " Naive Bayes"
2640 }
2641 },
2642 {
2643 "name": "Question 240",
2644 "desc": "Point out the correct statement:",
2645 "ans": "d",
2646 "opt": {
2647 "a": " The choice of an appropriate metric will influence the shape of the clusters",
2648 "b": " Hierarchical clustering is also called HCA",
2649 "c": " In general, the merges and splits are determined in a greedy manner",
2650 "d": " All of the Mentioned"
2651 }
2652 },
2653 {
2654 "name": "Question 241",
2655 "desc": "Which of the following is finally produced by Hierarchical Clustering ?",
2656 "ans": "b",
2657 "opt": {
2658 "a": " final estimate of cluster centroids",
2659 "b": " tree showing how close things are to each other",
2660 "c": " assignment of each point to clusters",
2661 "d": " all of the Mentioned"
2662 }
2663 },
2664 {
2665 "name": "Question 242",
2666 "desc": "Which of the following is required by K-means clustering ?",
2667 "ans": "d",
2668 "opt": {
2669 "a": " defined distance metric",
2670 "b": " number of clusters",
2671 "c": " initial guess as to cluster centroids",
2672 "d": " all of the Mentioned"
2673 }
2674 },
2675 {
2676 "name": "Question 243",
2677 "desc": "Point out the wrong statement:",
2678 "ans": "c",
2679 "opt": {
2680 "a": " k-means clustering is a method of vector quantization",
2681 "b": " k-means clustering aims to partition n observations into k clusters",
2682 "c": " k-nearest neighbor is same as k-means",
2683 "d": " None of the Mentioned"
2684 }
2685 },
2686 {
2687 "name": "Question 244",
2688 "desc": "Which of the following combination is incorrect ?",
2689 "ans": "d",
2690 "opt": {
2691 "a": " Continuous � euclidean distance",
2692 "b": " Continuous � correlation similarity",
2693 "c": " Binary � manhattan distance",
2694 "d": " None of the Mentioned"
2695 }
2696 },
2697 {
2698 "name": "Question 245",
2699 "desc": "Hierarchical clustering should be primarily used for exploration.",
2700 "ans": "a",
2701 "opt": {
2702 "a": "ue",
2703 "b": "LSE",
2704 "c": "ne",
2705 "d": "ne"
2706 }
2707 },
2708 {
2709 "name": "Question 246",
2710 "desc": "Which of the following function is used for k-means clustering ?",
2711 "ans": "a",
2712 "opt": {
2713 "a": " k-means",
2714 "b": " k-mean",
2715 "c": " heatmap",
2716 "d": " None of the Mentioned"
2717 }
2718 },
2719 {
2720 "name": "Question 247",
2721 "desc": "Which of the following clustering requires merging approach ?",
2722 "ans": "b",
2723 "opt": {
2724 "a": " Partitional",
2725 "b": " Hierarchical",
2726 "c": " Naive Bayes",
2727 "d": " None of the Mentioned"
2728 }
2729 },
2730 {
2731 "name": "Question 248",
2732 "desc": "K-means is not deterministic and it also consist of number of iterations.\r",
2733 "ans": "a",
2734 "opt": {
2735 "a": "ue",
2736 "b": "LSE",
2737 "c": "ne",
2738 "d": "ne"
2739 }
2740 },
2741 {
2742 "name": "Question 249",
2743 "desc": "Which of the following graphs has properties in the below figure ?",
2744 "ans": "a",
2745 "opt": {
2746 "a": "",
2747 "b": " Exploratory",
2748 "c": " Inferential",
2749 "d": " Causal"
2750 }
2751 },
2752 {
2753 "name": "Question 250",
2754 "desc": "Which of the following dimension type graph is shown in the below figure ?",
2755 "ans": "b",
2756 "opt": {
2757 "a": "",
2758 "b": " one-dimensional",
2759 "c": " two-dimensional",
2760 "d": " three-dimensional"
2761 }
2762 },
2763 {
2764 "name": "Question 251",
2765 "desc": "Which of the following gave rise to need of graphs in data analysis ?",
2766 "ans": "d",
2767 "opt": {
2768 "a": " Data visualization",
2769 "b": " Communicating results",
2770 "c": " Decision making",
2771 "d": " All of the Mentioned"
2772 }
2773 },
2774 {
2775 "name": "Question 252",
2776 "desc": "Which of the following is characteristic of exploratory graph ?",
2777 "ans": "c",
2778 "opt": {
2779 "a": " Made Slowly",
2780 "b": " Axes are not cleaned up",
2781 "c": " Color is used for personal information",
2782 "d": " All of the Mentioned"
2783 }
2784 },
2785 {
2786 "name": "Question 253",
2787 "desc": "Point out the correct statement:",
2788 "ans": "a",
2789 "opt": {
2790 "a": " coplots are one dimensional data graph",
2791 "b": " Exploratory graphs are made quickly",
2792 "c": " Exploratory graphs are made relatively less in number",
2793 "d": " All of the Mentioned"
2794 }
2795 },
2796 {
2797 "name": "Question 254",
2798 "desc": "Which of the following graph can be used for simple summarization of data ?",
2799 "ans": "c",
2800 "opt": {
2801 "a": " Scatterplot",
2802 "b": " Overlaying",
2803 "c": " Barplot",
2804 "d": " All of the Mentioned"
2805 }
2806 },
2807 {
2808 "name": "Question 255",
2809 "desc": "Color and shape are used to add dimensions to graph data.",
2810 "ans": "a",
2811 "opt": {
2812 "a": "ue",
2813 "b": "LSE",
2814 "c": "ne",
2815 "d": "ne"
2816 }
2817 },
2818 {
2819 "name": "Question 256",
2820 "desc": "Which of the following information is not given by five-number summary ?",
2821 "ans": "c",
2822 "opt": {
2823 "a": " Mean",
2824 "b": " Median",
2825 "c": " Mode",
2826 "d": " All of the mentioned"
2827 }
2828 },
2829 {
2830 "name": "Question 257",
2831 "desc": "Which of the following is also referred to as overlayed 1D plot ?",
2832 "ans": "a",
2833 "opt": {
2834 "a": " lattice",
2835 "b": " barplot",
2836 "c": " gplot",
2837 "d": " all of the Mentioned"
2838 }
2839 },
2840 {
2841 "name": "Question 258",
2842 "desc": "Spinning plots can be used for two dimensional data.\r",
2843 "ans": "a",
2844 "opt": {
2845 "a": "ue",
2846 "b": "LSE",
2847 "c": "ne",
2848 "d": "ne"
2849 }
2850 },
2851 {
2852 "name": "Question 259",
2853 "desc": "Which of the following problem is solved by reproducibility ?",
2854 "ans": "b",
2855 "opt": {
2856 "a": " Scalability",
2857 "b": " Data Availability",
2858 "c": " Improved Data Analysis",
2859 "d": " None of the Mentioned"
2860 }
2861 },
2862 {
2863 "name": "Question 260",
2864 "desc": "Point out the correct statement with respect to replication:",
2865 "ans": "a",
2866 "opt": {
2867 "a": " Focuses on the validity of the data analysis",
2868 "b": " Focuses on the validity of the scientific claim",
2869 "c": " Arguably a minimum standard for any scientific study",
2870 "d": " All of the Mentioned"
2871 }
2872 },
2873 {
2874 "name": "Question 261",
2875 "desc": "Which of the following is effective way of checking validity of data analysis ?",
2876 "ans": "d",
2877 "opt": {
2878 "a": " Re-run the analysis",
2879 "b": " Review the code",
2880 "c": " Check the sensitivity",
2881 "d": " All of the Mentioned"
2882 }
2883 },
2884 {
2885 "name": "Question 262",
2886 "desc": "Which of the following is similar to a pre-specified clinical trial protocol ?",
2887 "ans": "b",
2888 "opt": {
2889 "a": " Caching-based Data Analysis",
2890 "b": " Evidence-based Data Analysis",
2891 "c": " Markdown-based Data Analysis",
2892 "d": " All of the Mentioned"
2893 }
2894 },
2895 {
2896 "name": "Question 263",
2897 "desc": "Point out the wrong statement with respect to reproducibility:",
2898 "ans": "b",
2899 "opt": {
2900 "a": " Focuses on the validity of the data analysis",
2901 "b": " The ultimate standard for strengthening scientific evidence",
2902 "c": " Important when replication is impossible",
2903 "d": " None of the Mentioned"
2904 }
2905 },
2906 {
2907 "name": "Question 264",
2908 "desc": "Which of the following can be used for data analysis model ?",
2909 "ans": "d",
2910 "opt": {
2911 "a": " CRAN",
2912 "b": " CPAN",
2913 "c": " CTAN",
2914 "d": " All of the Mentioned"
2915 }
2916 },
2917 {
2918 "name": "Question 265",
2919 "desc": "Reproducibility determines correctness of data analysis.",
2920 "ans": "b",
2921 "opt": {
2922 "a": "ue",
2923 "b": "LSE",
2924 "c": "ne",
2925 "d": "ne"
2926 }
2927 },
2928 {
2929 "name": "Question 266",
2930 "desc": "Which of the following step is not required in data analysis ?",
2931 "ans": "d",
2932 "opt": {
2933 "a": " Synthesize results",
2934 "b": " Create reproducible code",
2935 "c": " Interpret results",
2936 "d": " None of the Mentioned"
2937 }
2938 },
2939 {
2940 "name": "Question 267",
2941 "desc": "Which of the following gives reviewers an important tool without dramatically increasing the burden ?",
2942 "ans": "c",
2943 "opt": {
2944 "a": " Quality research",
2945 "b": " Replication research",
2946 "c": " Reproducible research",
2947 "d": " None of the Mentioned"
2948 }
2949 },
2950 {
2951 "name": "Question 268",
2952 "desc": "Result Analysis are relatively easy to replicate or reproduce.",
2953 "ans": "b",
2954 "opt": {
2955 "a": "ue",
2956 "b": "LSE",
2957 "c": "ne",
2958 "d": "ne"
2959 }
2960 },
2961 {
2962 "name": "Question 269",
2963 "desc": "Which of the following is suitable for knitr ?",
2964 "ans": "a",
2965 "opt": {
2966 "a": " Reports",
2967 "b": " Data preprocessing documents",
2968 "c": "ne",
2969 "d": " all of the Mentioned"
2970 }
2971 },
2972 {
2973 "name": "Question 270",
2974 "desc": "Point out the correct combination related to output statements:",
2975 "ans": "a",
2976 "opt": {
2977 "a": " results: �asis�",
2978 "b": " echo: true",
2979 "c": " echo=false",
2980 "d": " none of the Mentioned"
2981 }
2982 },
2983 {
2984 "name": "Question 271",
2985 "desc": "Which of the following is required for not echoing the code ?",
2986 "ans": "a",
2987 "opt": {
2988 "a": " echo=TRUE",
2989 "b": " print=TRUE",
2990 "c": " echo=FALSE",
2991 "d": " all of the Mentioned"
2992 }
2993 },
2994 {
2995 "name": "Question 272",
2996 "desc": "Which of the following global options are available for figures in knitr ?",
2997 "ans": "a",
2998 "opt": {
2999 "a": " fig.height",
3000 "b": " fig.size",
3001 "c": " fig.breadth",
3002 "d": " all of the Mentioned"
3003 }
3004 },
3005 {
3006 "name": "Question 273",
3007 "desc": "Which of the following global option has value �hide� ?",
3008 "ans": "a",
3009 "opt": {
3010 "a": " results",
3011 "b": " fig.width",
3012 "c": " echo",
3013 "d": " none of the Mentioned"
3014 }
3015 },
3016 {
3017 "name": "Question 274",
3018 "desc": "Which of the following is correct order of conversion ?",
3019 "ans": "a",
3020 "opt": {
3021 "a": " .md->.Rmd->.html",
3022 "b": " .Rmd->.md->.html",
3023 "c": " .Rmd->.md->.xml",
3024 "d": " all of the Mentioned"
3025 }
3026 },
3027 {
3028 "name": "Question 275",
3029 "desc": "knitr is good for complex time-consuming computations.",
3030 "ans": "b",
3031 "opt": {
3032 "a": "ue",
3033 "b": "LSE",
3034 "c": "ne",
3035 "d": "ne"
3036 }
3037 },
3038 {
3039 "name": "Question 276",
3040 "desc": "Which of the following statement is used for importing knitr library ?",
3041 "ans": "a",
3042 "opt": {
3043 "a": " library(knitr)",
3044 "b": " import knitr",
3045 "c": " lib(knitr)",
3046 "d": " none of the Mentioned"
3047 }
3048 },
3049 {
3050 "name": "Question 277",
3051 "desc": "The document produced by knitr document has following extension:",
3052 "ans": "b",
3053 "opt": {
3054 "a": " .md",
3055 "b": " .rmd",
3056 "c": " .html",
3057 "d": " none of the Mentioned"
3058 }
3059 },
3060 {
3061 "name": "Question 278",
3062 "desc": "Code chunks begin with �`{r} and end with �`.",
3063 "ans": "a",
3064 "opt": {
3065 "a": "ue",
3066 "b": "LSE",
3067 "c": "ne",
3068 "d": "ne"
3069 }
3070 },
3071 {
3072 "name": "Question 279",
3073 "desc": "What is the role of processing code in the research pipeline?",
3074 "ans": "c",
3075 "opt": {
3076 "a": " Transforms the analytical results into figures and tables",
3077 "b": " Transforms the analytic data into measured data",
3078 "c": " Transforms the measured data into analytic data",
3079 "d": " All of the Mentioned"
3080 }
3081 },
3082 {
3083 "name": "Question 280",
3084 "desc": "Which of the following is a goal of literate statistical programming?",
3085 "ans": "d",
3086 "opt": {
3087 "a": " Combine explanatory text and data analysis code in a single document",
3088 "b": " Ensure that data analysis documents are always exported in JPEG format",
3089 "c": " Require that data analysis summaries are always written in R",
3090 "d": " None of the Mentioned"
3091 }
3092 },
3093 {
3094 "name": "Question 281",
3095 "desc": "What does it mean to weave a literate statistical program?",
3096 "ans": "b",
3097 "opt": {
3098 "a": " Convert a program from S to python",
3099 "b": " Convert the program into a human readable document",
3100 "c": " Convert a program to decompress it",
3101 "d": " All of the Mentioned"
3102 }
3103 },
3104 {
3105 "name": "Question 282",
3106 "desc": "Which of the following is required to implement a literate programming system?",
3107 "ans": "c",
3108 "opt": {
3109 "a": " A programming language like Perl",
3110 "b": " A programming language like Java",
3111 "c": " A programming language like R",
3112 "d": " All of the Mentioned"
3113 }
3114 },
3115 {
3116 "name": "Question 283",
3117 "desc": "What is one way in which the knitr system differs from Sweave?",
3118 "ans": "a",
3119 "opt": {
3120 "a": " knitr allows for the use of markdown instead of LaTeX",
3121 "b": " knitr is written in python instead of R",
3122 "c": " knitr lacks features like caching of code chunks",
3123 "d": " None of the Mentioned"
3124 }
3125 },
3126 {
3127 "name": "Question 284",
3128 "desc": "Which of the following is useful way to put text, code, data, output all in one document?",
3129 "ans": "a",
3130 "opt": {
3131 "a": " Literate statistical programming",
3132 "b": " Object Oriented programming",
3133 "c": " Descriptive programming",
3134 "d": " All of the Mentioned"
3135 }
3136 },
3137 {
3138 "name": "Question 285",
3139 "desc": "Some chunks have to be re-computed every time you re-knit the file.",
3140 "ans": "b",
3141 "opt": {
3142 "a": "ue",
3143 "b": "LSE",
3144 "c": "ne",
3145 "d": "ne"
3146 }
3147 },
3148 {
3149 "name": "Question 286",
3150 "desc": "Which of the following tool can be used for integrating text and code in one document?",
3151 "ans": "a",
3152 "opt": {
3153 "a": " knitr",
3154 "b": " ggplot2",
3155 "c": " NumPy",
3156 "d": " None of the Mentioned"
3157 }
3158 },
3159 {
3160 "name": "Question 287",
3161 "desc": "Which of the following should be set on chunk by chunk basis to store results of computation?",
3162 "ans": "a",
3163 "opt": {
3164 "a": " cache=TRUE",
3165 "b": " cache=FALSE",
3166 "c": " caching=TRUE",
3167 "d": " none of the Mentioned"
3168 }
3169 },
3170 {
3171 "name": "Question 288",
3172 "desc": "Dependencies are checked explicitly in caching caveats.",
3173 "ans": "b",
3174 "opt": {
3175 "a": "ue",
3176 "b": "LSE",
3177 "c": "ne",
3178 "d": "ne"
3179 }
3180 },
3181 {
3182 "name": "Question 289",
3183 "desc": "Original idea comes of Literate Statistical Practice from :",
3184 "ans": "a",
3185 "opt": {
3186 "a": " Don Knuth",
3187 "b": " Don Cutting",
3188 "c": " Douglas Cutting",
3189 "d": " All of the Mentioned"
3190 }
3191 },
3192 {
3193 "name": "Question 290",
3194 "desc": "Point out the correct statement:",
3195 "ans": "a",
3196 "opt": {
3197 "a": " An article is stream of code and text",
3198 "b": " Analysis code is divided in to code chunks only",
3199 "c": " Literate programs are tangled to produce human readable documents",
3200 "d": " None of the Mentioned"
3201 }
3202 },
3203 {
3204 "name": "Question 291",
3205 "desc": "Which of the following is required for literate programming ?",
3206 "ans": "a",
3207 "opt": {
3208 "a": " documentation language",
3209 "b": " mapper language",
3210 "c": " reducer language",
3211 "d": " all of the Mentioned"
3212 }
3213 },
3214 {
3215 "name": "Question 292",
3216 "desc": "Which of the following is required to implement a literate programming system ?",
3217 "ans": "c",
3218 "opt": {
3219 "a": " A programming language like Perl",
3220 "b": " A programming language like Java",
3221 "c": " A programming language like R",
3222 "d": " All of the Mentioned"
3223 }
3224 },
3225 {
3226 "name": "Question 293",
3227 "desc": "Which of the following way is required to make work reproducible ?",
3228 "ans": "a",
3229 "opt": {
3230 "a": " keep track of things",
3231 "b": " Save output",
3232 "c": " Save data in proprietary formats",
3233 "d": " None of the Mentioned"
3234 }
3235 },
3236 {
3237 "name": "Question 294",
3238 "desc": "Which of the following disadvantage does literate programming have ?",
3239 "ans": "a",
3240 "opt": {
3241 "a": " Slow processing of documents",
3242 "b": " Code is not automatic",
3243 "c": " No logical order",
3244 "d": " All of the Mentioned"
3245 }
3246 },
3247 {
3248 "name": "Question 295",
3249 "desc": "knitr supports only one documentation language.",
3250 "ans": "b",
3251 "opt": {
3252 "a": "ue",
3253 "b": "LSE",
3254 "c": "ne",
3255 "d": "ne"
3256 }
3257 },
3258 {
3259 "name": "Question 296",
3260 "desc": "Which of the following tool documentation language is supported by knitr ?",
3261 "ans": "a",
3262 "opt": {
3263 "a": " RMarkdown",
3264 "b": " LaTeX",
3265 "c": " HTML",
3266 "d": "ne"
3267 }
3268 },
3269 {
3270 "name": "Question 297",
3271 "desc": "Which of the following package by Yihui is built in to RStudio environment ?",
3272 "ans": "b",
3273 "opt": {
3274 "a": " rpy2",
3275 "b": " knitr",
3276 "c": " ggplot2",
3277 "d": " none of the Mentioned"
3278 }
3279 },
3280 {
3281 "name": "Question 298",
3282 "desc": "Literate program code is live-automatic �regression test� when building a document.",
3283 "ans": "a",
3284 "opt": {
3285 "a": "ue",
3286 "b": "LSE",
3287 "c": "ne",
3288 "d": "ne"
3289 }
3290 },
3291 {
3292 "name": "Question 299",
3293 "desc": "Which of the following is the probability calculus of beliefs, given that beliefs follow certain rules ?",
3294 "ans": "a",
3295 "opt": {
3296 "a": " Bayesian probability",
3297 "b": " Frequency probability",
3298 "c": " Frequency inference",
3299 "d": " Bayesian inference"
3300 }
3301 },
3302 {
3303 "name": "Question 300",
3304 "desc": "Point out the correct statement:",
3305 "ans": "a",
3306 "opt": {
3307 "a": " Bayesian inference is the use of Bayesian probability representation of beliefs to perform inference",
3308 "b": " NULL is the standard missing data marker used in S",
3309 "c": " Frequency inference is the use of Bayesian probability representation of beliefs to perform inference",
3310 "d": " None of the Mentioned"
3311 }
3312 },
3313 {
3314 "name": "Question 301",
3315 "desc": "Which of the following can be considered as random variable ?",
3316 "ans": "d",
3317 "opt": {
3318 "a": " The outcome from the roll of a die",
3319 "b": " The outcome of flip of a coin",
3320 "c": " The outcome of exam",
3321 "d": " All of the Mentioned"
3322 }
3323 },
3324 {
3325 "name": "Question 302",
3326 "desc": "Which of the following random variable that take on only a countable number of possibilities?",
3327 "ans": "a",
3328 "opt": {
3329 "a": " Discrete",
3330 "b": " Non Discrete",
3331 "c": " Continuous",
3332 "d": " All of the Mentioned"
3333 }
3334 },
3335 {
3336 "name": "Question 303",
3337 "desc": "Point out the wrong statement:",
3338 "ans": "b",
3339 "opt": {
3340 "a": " A random variable is a numerical outcome of an experiment",
3341 "b": " There are three types of random variable",
3342 "c": " Continuous random variable can take any value on the real line",
3343 "d": " None of the Mentioned"
3344 }
3345 },
3346 {
3347 "name": "Question 304",
3348 "desc": "Which of the following is also referred to as random variable ?",
3349 "ans": "b",
3350 "opt": {
3351 "a": " stochast",
3352 "b": " aleatory",
3353 "c": " eliette",
3354 "d": " all of the Mentioned"
3355 }
3356 },
3357 {
3358 "name": "Question 305",
3359 "desc": "Bayesian inference uses frequency interpretations of probabilities to control error rates.",
3360 "ans": "b",
3361 "opt": {
3362 "a": "ue",
3363 "b": "LSE",
3364 "c": "ne",
3365 "d": "ne"
3366 }
3367 },
3368 {
3369 "name": "Question 306",
3370 "desc": "Which of the following condition should be satisfied by function for pmf ?",
3371 "ans": "a",
3372 "opt": {
3373 "a": " The sum of all of the possible values is 1",
3374 "b": " The sum of all of the possible values is 0",
3375 "c": " The sum of all of the possible values is infinite",
3376 "d": " All of the Mentioned"
3377 }
3378 },
3379 {
3380 "name": "Question 307",
3381 "desc": "Which of the following function is associated with a continuous random variable ?",
3382 "ans": "a",
3383 "opt": {
3384 "a": " pdf",
3385 "b": " pmv",
3386 "c": " pmf",
3387 "d": " all of the Mentioned"
3388 }
3389 },
3390 {
3391 "name": "Question 308",
3392 "desc": "Statistical inference is the process of drawing formal conclusions from data.",
3393 "ans": "a",
3394 "opt": {
3395 "a": "ue",
3396 "b": "LSE",
3397 "c": "ne",
3398 "d": "ne"
3399 }
3400 },
3401 {
3402 "name": "Question 309",
3403 "desc": "The expected value or _______ of a random variable is the center of its distribution.",
3404 "ans": "c",
3405 "opt": {
3406 "a": " mode",
3407 "b": " median",
3408 "c": " mean",
3409 "d": " bayesian inference"
3410 }
3411 },
3412 {
3413 "name": "Question 310",
3414 "desc": "Point out the correct statement:",
3415 "ans": "d",
3416 "opt": {
3417 "a": " Some cumulative distribution function F is non-decreasing and right-continuous",
3418 "b": " Every cumulative distribution function F is decreasing and right-continuous",
3419 "c": " Every cumulative distribution function F is increasing and left-continuous",
3420 "d": " None of the Mentioned"
3421 }
3422 },
3423 {
3424 "name": "Question 311",
3425 "desc": "Which of the following of a random variable is a measure of spread ?",
3426 "ans": "a",
3427 "opt": {
3428 "a": " variance",
3429 "b": " standard deviation",
3430 "c": " empirical mean",
3431 "d": " all of the Mentioned"
3432 }
3433 },
3434 {
3435 "name": "Question 312",
3436 "desc": "The square root of the variance is called the ________ deviation.",
3437 "ans": "d",
3438 "opt": {
3439 "a": " empirical",
3440 "b": " mean",
3441 "c": " Continuous",
3442 "d": " standard"
3443 }
3444 },
3445 {
3446 "name": "Question 313",
3447 "desc": "Point out the wrong statement:",
3448 "ans": "c",
3449 "opt": {
3450 "a": " A percentile is simply a quantile with expressed as a percent",
3451 "b": " There are two types of random variable",
3452 "c": " R cannot approximate quantiles for you for common distributions",
3453 "d": " None of the Mentioned"
3454 }
3455 },
3456 {
3457 "name": "Question 314",
3458 "desc": "Which of the following inequality is useful for interpreting variances ?",
3459 "ans": "a",
3460 "opt": {
3461 "a": " Chebyshev",
3462 "b": " Stautaory",
3463 "c": " Testory",
3464 "d": " All of the Mentioned"
3465 }
3466 },
3467 {
3468 "name": "Question 315",
3469 "desc": "For continuous random variables, the CDF is the derivative of the PDF",
3470 "ans": "b",
3471 "opt": {
3472 "a": "ue",
3473 "b": "LSE",
3474 "c": "ne",
3475 "d": "ne"
3476 }
3477 },
3478 {
3479 "name": "Question 316",
3480 "desc": "Chebyshev�s inequality states that the probability of a �Six Sigma� event is less than :",
3481 "ans": "d",
3482 "opt": {
3483 "a": " 10%",
3484 "b": " 20%",
3485 "c": " 30%",
3486 "d": " 3%"
3487 }
3488 },
3489 {
3490 "name": "Question 317",
3491 "desc": "Which of the following random variables are the default model for random samples ?",
3492 "ans": "a",
3493 "opt": {
3494 "a": " iid",
3495 "b": " id",
3496 "c": " pmd",
3497 "d": " all of the Mentioned"
3498 }
3499 },
3500 {
3501 "name": "Question 318",
3502 "desc": "Cumulative distribution functions are used to specify the distribution of multivariate random variables.\ra) True\rb) False\rView Answer",
3503 "ans": "a",
3504 "opt": {
3505 "a": "",
3506 "b": "",
3507 "c": "",
3508 "d": ""
3509 }
3510 },
3511 {
3512 "name": "Question 319",
3513 "desc": "Which of the following goal is incorrectly represented in the below figure ?",
3514 "ans": "d",
3515 "opt": {
3516 "a": "",
3517 "b": " Relationship between variables",
3518 "c": " Distribution of variables",
3519 "d": " Inference about relationships"
3520 }
3521 },
3522 {
3523 "name": "Question 320",
3524 "desc": "Point out the correct statement:",
3525 "ans": "d",
3526 "opt": {
3527 "a": " The exponent of a normally distributed random variables follows what is called the log-normal distribution",
3528 "b": " Sums of normally distributed random variables are again normally distributed even if the variables are dependent",
3529 "c": " The square of a standard normal random variable follows what is called chi-squared distribution",
3530 "d": " All of the Mentioned"
3531 }
3532 },
3533 {
3534 "name": "Question 321",
3535 "desc": "Which of the following is incorrect with respect to use of Poisson distribution ?",
3536 "ans": "b",
3537 "opt": {
3538 "a": " Modeling event/time data",
3539 "b": " Modeling bounded count data",
3540 "c": " Modeling contingency tables",
3541 "d": " All of the Mentioned"
3542 }
3543 },
3544 {
3545 "name": "Question 322",
3546 "desc": "__________ random variables are used to model rates.",
3547 "ans": "c",
3548 "opt": {
3549 "a": " Empirical",
3550 "b": " Binomial",
3551 "c": " Poisson",
3552 "d": " All of the Mentioned"
3553 }
3554 },
3555 {
3556 "name": "Question 323",
3557 "desc": "Point out the wrong statement:",
3558 "ans": "a",
3559 "opt": {
3560 "a": " The normal distribution is asymmetric and peaked about its mode",
3561 "b": " A constant times a normally distributed random variable is also normally distributed",
3562 "c": " Sample means of normally distributed random variables are again normally distributed",
3563 "d": " None of the Mentioned"
3564 }
3565 },
3566 {
3567 "name": "Question 324",
3568 "desc": "Which of the following form the basis for frequency interpretation of probabilities ?",
3569 "ans": "a",
3570 "opt": {
3571 "a": " Asymptotics",
3572 "b": " Symptotics",
3573 "c": " Asymmetry",
3574 "d": " All of the Mentioned"
3575 }
3576 },
3577 {
3578 "name": "Question 325",
3579 "desc": "Bernoulli random variables take (only) the values 1 and 0.",
3580 "ans": "a",
3581 "opt": {
3582 "a": "ue",
3583 "b": "LSE",
3584 "c": "ne",
3585 "d": "ne"
3586 }
3587 },
3588 {
3589 "name": "Question 326",
3590 "desc": "The _________ basically states that the sample mean is consistent.",
3591 "ans": "b",
3592 "opt": {
3593 "a": " LAN",
3594 "b": " LLN",
3595 "c": " LWN",
3596 "d": " None of the Mentioned"
3597 }
3598 },
3599 {
3600 "name": "Question 327",
3601 "desc": "Which of the following theorem states that the distribution of averages of iid variables, properly normalized, becomes that of a standard normal as the sample size increases ?",
3602 "ans": "a",
3603 "opt": {
3604 "a": " Central Limit Theorem",
3605 "b": " Central Mean Theorem",
3606 "c": " Centroid Limit Theorem",
3607 "d": " All of the Mentioned"
3608 }
3609 },
3610 {
3611 "name": "Question 328",
3612 "desc": "The binomial random variables are obtained as the sum of iid Gaussian trials.",
3613 "ans": "a",
3614 "opt": {
3615 "a": "ue",
3616 "b": "LSE",
3617 "c": "ne",
3618 "d": "ne"
3619 }
3620 },
3621 {
3622 "name": "Question 329",
3623 "desc": "The _________ of the Chi-squared distribution is twice the degrees of freedom.",
3624 "ans": "a",
3625 "opt": {
3626 "a": " variance",
3627 "b": " standard deviation",
3628 "c": " mode",
3629 "d": " none of the Mentioned"
3630 }
3631 },
3632 {
3633 "name": "Question 330",
3634 "desc": "Point out the correct statement:",
3635 "ans": "d",
3636 "opt": {
3637 "a": " Asymptotics are incredibly useful for simple statistical inference and approximations",
3638 "b": " Asymptotics often lead to nice understanding of procedures",
3639 "c": " An estimator is consistent if it converges to what you want to estimate",
3640 "d": " All of the Mentioned"
3641 }
3642 },
3643 {
3644 "name": "Question 331",
3645 "desc": "Gosset�s distribution is invented by which of the following scientist ?",
3646 "ans": "a",
3647 "opt": {
3648 "a": " William Gosset",
3649 "b": " William Gosling",
3650 "c": " Gosling Gosset",
3651 "d": " All of the Mentioned"
3652 }
3653 },
3654 {
3655 "name": "Question 332",
3656 "desc": "The _________ of a collection of data is the joint density evaluated as a function of the parameters with the data fixed.",
3657 "ans": "b",
3658 "opt": {
3659 "a": " probability",
3660 "b": " likelihood",
3661 "c": " poisson distribution",
3662 "d": " all of the Mentioned"
3663 }
3664 },
3665 {
3666 "name": "Question 333",
3667 "desc": "Point out the wrong statement:",
3668 "ans": "a",
3669 "opt": {
3670 "a": " Asymptotics generally give assurances about finite sample performance",
3671 "b": " The sample variance and the sample standard deviation are consistent as well",
3672 "c": " The sample mean and the sample variance are unbiased as well",
3673 "d": " None of the Mentioned"
3674 }
3675 },
3676 {
3677 "name": "Question 334",
3678 "desc": "Which of the following is a property of likelihood ?",
3679 "ans": "d",
3680 "opt": {
3681 "a": " Ratios of likelihood values measure the relative evidence of one value of the unknown parameter to another",
3682 "b": " Given a statistical model and observed data, all of the relevant information contained in the data regarding the unknown parameter is contained in the likelihood",
3683 "c": " The Resultant likelihood is multiplication of individual likelihood",
3684 "d": " All of the Mentioned"
3685 }
3686 },
3687 {
3688 "name": "Question 335",
3689 "desc": "CLT is mostly useful as an approximation.",
3690 "ans": "a",
3691 "opt": {
3692 "a": "ue",
3693 "b": "LSE",
3694 "c": "ne",
3695 "d": "ne"
3696 }
3697 },
3698 {
3699 "name": "Question 336",
3700 "desc": "The beta distribution is the default prior for parameters between :",
3701 "ans": "c",
3702 "opt": {
3703 "a": " 0 and 10",
3704 "b": " 1 and 2",
3705 "c": " 0 and 1",
3706 "d": " None of the Mentioned"
3707 }
3708 },
3709 {
3710 "name": "Question 337",
3711 "desc": "Which of the following mean is a mixture of the MLE and the prior mean ?",
3712 "ans": "c",
3713 "opt": {
3714 "a": " interior",
3715 "b": " exterior",
3716 "c": " posterior",
3717 "d": " all of the Mentioned"
3718 }
3719 },
3720 {
3721 "name": "Question 338",
3722 "desc": "Usually replacing the standard error by its estimated value does change the CLT.\r",
3723 "ans": "b",
3724 "opt": {
3725 "a": "ue",
3726 "b": "LSE",
3727 "c": "ne",
3728 "d": "ne"
3729 }
3730 },
3731 {
3732 "name": "Question 339",
3733 "desc": "Which of the following testing is concerned with making decisions using data ?",
3734 "ans": "b",
3735 "opt": {
3736 "a": " Probability",
3737 "b": " Hypothesis",
3738 "c": " Causal",
3739 "d": " None of the mentioned"
3740 }
3741 },
3742 {
3743 "name": "Question 340",
3744 "desc": "Point out the correct statement:",
3745 "ans": "d",
3746 "opt": {
3747 "a": " Power of a one sided test is lower than the power of the associated two sided test",
3748 "b": " Power of a two sided test is greater than the power of the associated one sided test",
3749 "c": " Hypothesis testing is less commonly used",
3750 "d": " None of the Mentioned"
3751 }
3752 },
3753 {
3754 "name": "Question 341",
3755 "desc": "Which of the following value is most common measure of �statistical significance� ?",
3756 "ans": "a",
3757 "opt": {
3758 "a": " P",
3759 "b": " A",
3760 "c": " L",
3761 "d": " All of the Mentioned"
3762 }
3763 },
3764 {
3765 "name": "Question 342",
3766 "desc": "What is the purpose of multiple testing in statistical inference ?",
3767 "ans": "d",
3768 "opt": {
3769 "a": " Minimize errors",
3770 "b": " Minimize false positives",
3771 "c": " Minimize false negatives",
3772 "d": " All of the Mentioned"
3773 }
3774 },
3775 {
3776 "name": "Question 343",
3777 "desc": "Point out the wrong statement with respect to FDR:",
3778 "ans": "a",
3779 "opt": {
3780 "a": " FDR is difficult to calculate",
3781 "b": " FDR is relatively less conservative",
3782 "c": " FDR allows for more false positives",
3783 "d": " None of the Mentioned"
3784 }
3785 },
3786 {
3787 "name": "Question 344",
3788 "desc": "Which of the following is the oldest multiple testing correction?",
3789 "ans": "a",
3790 "opt": {
3791 "a": " Bonferroni correction",
3792 "b": " Bernoulli correction",
3793 "c": " Likelihood correction",
3794 "d": " All of the Mentioned"
3795 }
3796 },
3797 {
3798 "name": "Question 345",
3799 "desc": "The pooled estimator is a mixture of the group variances, placing greater weight on whichever has a larger sample size.\ra) True\rb) False\rView Answer",
3800 "ans": "a",
3801 "opt": {
3802 "a": "",
3803 "b": "",
3804 "c": "",
3805 "d": ""
3806 }
3807 },
3808 {
3809 "name": "Question 346",
3810 "desc": "Which of the following tool is used for constructing confidence intervals and calculating standard errors for difficult statistics ?",
3811 "ans": "b",
3812 "opt": {
3813 "a": " baggyer",
3814 "b": " bootstrap",
3815 "c": " jacknife",
3816 "d": " none of the Mentioned"
3817 }
3818 },
3819 {
3820 "name": "Question 347",
3821 "desc": "Which of the following tool is used for estimating standard errors and the bias of estimators ?",
3822 "ans": "c",
3823 "opt": {
3824 "a": " knitr",
3825 "b": " jackknife",
3826 "c": " ggplot2",
3827 "d": " all of the Mentioned"
3828 }
3829 },
3830 {
3831 "name": "Question 348",
3832 "desc": "Power is the probability of rejecting the null hypothesis when it is true.",
3833 "ans": "b",
3834 "opt": {
3835 "a": "ue",
3836 "b": "LSE",
3837 "c": "ne",
3838 "d": "ne"
3839 }
3840 },
3841 {
3842 "name": "Question 349",
3843 "desc": "Which of the following function can be replaced with the question mark in the below figure ?",
3844 "ans": "c",
3845 "opt": {
3846 "a": "",
3847 "b": " boxplot",
3848 "c": " lplot",
3849 "d": " levelplot"
3850 }
3851 },
3852 {
3853 "name": "Question 350",
3854 "desc": "Point out the correct statement:",
3855 "ans": "d",
3856 "opt": {
3857 "a": " The mean is a measure of central tendency of the data",
3858 "b": " Empirical mean is related to �centering� the random variables",
3859 "c": " The empirical standard deviation is a measure of spread",
3860 "d": " All of the Mentioned"
3861 }
3862 },
3863 {
3864 "name": "Question 351",
3865 "desc": "Which of the following implies no relationship with respect to correlation ?",
3866 "ans": "b",
3867 "opt": {
3868 "a": " Cor(X, Y) = 1",
3869 "b": " Cor(X, Y) = 0",
3870 "c": " Cor(X, Y) = 2",
3871 "d": " All of the Mentioned"
3872 }
3873 },
3874 {
3875 "name": "Question 352",
3876 "desc": "Normalized data are centered at ___ and have units equal to standard deviations of the original data.",
3877 "ans": "a",
3878 "opt": {
3879 "a": " 0",
3880 "b": " 5",
3881 "c": " 1",
3882 "d": " 10"
3883 }
3884 },
3885 {
3886 "name": "Question 353",
3887 "desc": "Point out the wrong statement:",
3888 "ans": "c",
3889 "opt": {
3890 "a": " Regression through the origin yields an equivalent slope if you center the data first",
3891 "b": " Normalizing variables results in the slope being the correlation",
3892 "c": " Least squares is not an estimation tool",
3893 "d": " None of the Mentioned"
3894 }
3895 },
3896 {
3897 "name": "Question 354",
3898 "desc": "Which of the following is correct with respect to residuals ?",
3899 "ans": "a",
3900 "opt": {
3901 "a": " Positive residuals are above the line, negative residuals are below",
3902 "b": " Positive residuals are below the line, negative residuals are above",
3903 "c": " Positive residuals and negative residuals are below the line",
3904 "d": " All of the Mentioned"
3905 }
3906 },
3907 {
3908 "name": "Question 355",
3909 "desc": "Minimizing the likelihood is the same as maximizing -2 log likelihood.",
3910 "ans": "a",
3911 "opt": {
3912 "a": "ue",
3913 "b": "LSE",
3914 "c": "ne",
3915 "d": "ne"
3916 }
3917 },
3918 {
3919 "name": "Question 356",
3920 "desc": "Which of the following refers to the circumstance in which the variability of a variable is unequal across the range of values of a second variable that predicts it ?",
3921 "ans": "b",
3922 "opt": {
3923 "a": " Heterogeneity",
3924 "b": " Heteroskedasticity",
3925 "c": " Heteroelasticty",
3926 "d": " None of the Mentioned"
3927 }
3928 },
3929 {
3930 "name": "Question 357",
3931 "desc": "Which of the following outcome is odd man out in the below figure ?",
3932 "ans": "b",
3933 "opt": {
3934 "a": "",
3935 "b": " R Squared",
3936 "c": " Kappa",
3937 "d": " RMSE"
3938 }
3939 },
3940 {
3941 "name": "Question 358",
3942 "desc": "Residuals are useful for investigating best model fit.",
3943 "ans": "b",
3944 "opt": {
3945 "a": "ue",
3946 "b": "LSE",
3947 "c": "ne",
3948 "d": "ne"
3949 }
3950 },
3951 {
3952 "name": "Question 359",
3953 "desc": "Which of the following is correct formula for total variation ?",
3954 "ans": "b",
3955 "opt": {
3956 "a": " Total Variation = Residual Variation � Regression Variation",
3957 "b": " Total Variation = Residual Variation + Regression Variation",
3958 "c": " Total Variation = Residual Variation * Regression Variation",
3959 "d": " All of the Mentioned"
3960 }
3961 },
3962 {
3963 "name": "Question 360",
3964 "desc": "Point out the correct statement:",
3965 "ans": "d",
3966 "opt": {
3967 "a": " A standard error is needed to create a prediction interval",
3968 "b": " The prediction interval must incorporate the variability in the data around the line",
3969 "c": " Investors use the residual variance to measure the accuracy of their predictions on the value of an asset",
3970 "d": " All of the Mentioned"
3971 }
3972 },
3973 {
3974 "name": "Question 361",
3975 "desc": "Which of the following things can be accomplished with linear model ?",
3976 "ans": "d",
3977 "opt": {
3978 "a": " Flexibly fit complicated functions",
3979 "b": " Uncover complex multivariate relationships",
3980 "c": " Build accurate prediction models",
3981 "d": " All of the Mentioned"
3982 }
3983 },
3984 {
3985 "name": "Question 362",
3986 "desc": "Which of the following statement is incorrect with respect to outliers ?",
3987 "ans": "c",
3988 "opt": {
3989 "a": " Outliers can have varying degrees of influence",
3990 "b": " Outliers can be the result of spurious or real processes.",
3991 "c": " Outliers cannot conform to the regression relationship",
3992 "d": " None of the Mentioned"
3993 }
3994 },
3995 {
3996 "name": "Question 363",
3997 "desc": "Point out the wrong statement:",
3998 "ans": "d",
3999 "opt": {
4000 "a": " The fraction of variance unexplained is an established concept in the context of linear regression",
4001 "b": " �Explained variance� is routinely used in principal component analysis",
4002 "c": " The general linear model extends simple linear regression (SLR) by adding terms linearly into the model",
4003 "d": " None of the Mentioned"
4004 }
4005 },
4006 {
4007 "name": "Question 364",
4008 "desc": "Which of the following can be useful for diagnosing data entry errors ?",
4009 "ans": "a",
4010 "opt": {
4011 "a": " hat values",
4012 "b": " dffit",
4013 "c": " resid",
4014 "d": " all of the Mentioned"
4015 }
4016 },
4017 {
4018 "name": "Question 365",
4019 "desc": "Multivariate regression estimates are exactly those having removed the linear relationship of the other variables from both the regressor and response.\ra) True\rb) False\rView Answer",
4020 "ans": "a",
4021 "opt": {
4022 "a": "",
4023 "b": "",
4024 "c": "",
4025 "d": ""
4026 }
4027 },
4028 {
4029 "name": "Question 366",
4030 "desc": "Residual ______ plots investigate normality of the errors.",
4031 "ans": "c",
4032 "opt": {
4033 "a": " RR",
4034 "b": " PP",
4035 "c": " QQ",
4036 "d": " None of the Mentioned"
4037 }
4038 },
4039 {
4040 "name": "Question 367",
4041 "desc": "Which of the following show residuals divided by their standard deviations ?",
4042 "ans": "c",
4043 "opt": {
4044 "a": " rstudent",
4045 "b": " cooks.distance",
4046 "c": " rstandard",
4047 "d": " all of the Mentioned"
4048 }
4049 },
4050 {
4051 "name": "Question 368",
4052 "desc": "The least squares estimate for the coefficient of a multivariate regression model is exactly regression through the origin with the linear relationships.\ra) True\rb) False\rView Answer",
4053 "ans": "b",
4054 "opt": {
4055 "a": "",
4056 "b": "",
4057 "c": "",
4058 "d": ""
4059 }
4060 },
4061 {
4062 "name": "Question 369",
4063 "desc": "How many components are present in generalized linear models ?",
4064 "ans": "d",
4065 "opt": {
4066 "a": " 2",
4067 "b": " 4",
4068 "c": " 6",
4069 "d": " None of the Mentioned"
4070 }
4071 },
4072 {
4073 "name": "Question 370",
4074 "desc": "Point out the wrong statement:",
4075 "ans": "b",
4076 "opt": {
4077 "a": " Additive response models don�t make much sense if the response is discrete, or strictly positive",
4078 "b": " Transformations are often easy to interpret in linear model",
4079 "c": " Regression models are used to predict one variable from one or more other variables",
4080 "d": " All of the Mentioned"
4081 }
4082 },
4083 {
4084 "name": "Question 371",
4085 "desc": "Which of the following component is involved in generalized linear models ?",
4086 "ans": "d",
4087 "opt": {
4088 "a": " An exponential family model for the response",
4089 "b": " A systematic component via a linear predictor",
4090 "c": " A link function that connects the means of the response to the linear predictor",
4091 "d": " All of the Mentioned"
4092 }
4093 },
4094 {
4095 "name": "Question 372",
4096 "desc": "Collection of exchangeable binary outcomes for the same covariate data are called _______ outcomes.",
4097 "ans": "c",
4098 "opt": {
4099 "a": " random",
4100 "b": " direct",
4101 "c": " binomial",
4102 "d": " none of the Mentioned"
4103 }
4104 },
4105 {
4106 "name": "Question 373",
4107 "desc": "Point out the wrong statement:",
4108 "ans": "c",
4109 "opt": {
4110 "a": " Asymptotics are used for inference usually",
4111 "b": " Adding squared terms makes it continuously differentiable at the knot points",
4112 "c": " Adding squared terms makes it twice continuously differentiable at the knot points",
4113 "d": " None of the Mentioned"
4114 }
4115 },
4116 {
4117 "name": "Question 374",
4118 "desc": "Which of the following is example use of Poisson distribution ?",
4119 "ans": "d",
4120 "opt": {
4121 "a": " Analyzing contingency table data",
4122 "b": " Modeling web traffic hits",
4123 "c": " Incidence rates",
4124 "d": " All of the Mentioned"
4125 }
4126 },
4127 {
4128 "name": "Question 375",
4129 "desc": "Principal components or factor analytic models on covariates are often useful for reducing complex covariate spaces.\ra) True\rb) False\rView Answer",
4130 "ans": "a",
4131 "opt": {
4132 "a": "",
4133 "b": "",
4134 "c": "",
4135 "d": ""
4136 }
4137 },
4138 {
4139 "name": "Question 376",
4140 "desc": "How many outcomes are possible with bernoulli trial ?",
4141 "ans": "a",
4142 "opt": {
4143 "a": " 2",
4144 "b": " 3",
4145 "c": " 4",
4146 "d": " None of the Mentioned"
4147 }
4148 },
4149 {
4150 "name": "Question 377",
4151 "desc": "Which of the following analysis is a statistical process for estimating the relationships among variables ?",
4152 "ans": "b",
4153 "opt": {
4154 "a": " Causal",
4155 "b": " Regression",
4156 "c": " Multivariate",
4157 "d": " All of the Mentioned"
4158 }
4159 },
4160 {
4161 "name": "Question 378",
4162 "desc": "Linear models are the most useful applied statistical technique.",
4163 "ans": "b",
4164 "opt": {
4165 "a": "ue",
4166 "b": "LSE",
4167 "c": "ne",
4168 "d": "ne"
4169 }
4170 },
4171 {
4172 "name": "Question 379",
4173 "desc": "Which of the following can be used to generate balanced cross�validation groupings from a set of data ?",
4174 "ans": "a",
4175 "opt": {
4176 "a": " createFolds",
4177 "b": " createSample",
4178 "c": " createResample",
4179 "d": " none of the Mentioned"
4180 }
4181 },
4182 {
4183 "name": "Question 380",
4184 "desc": "Point out the wrong statement:",
4185 "ans": "a",
4186 "opt": {
4187 "a": " Simple random sampling of time series is probably the best way to resample times series data.",
4188 "b": " Three parameters are used for time series splitting",
4189 "c": " Horizon parameter is the number of consecutive values in test set sample",
4190 "d": " All of the Mentioned"
4191 }
4192 },
4193 {
4194 "name": "Question 381",
4195 "desc": "Which of the following function can be used to maximize the minimum dissimilarities ?",
4196 "ans": "d",
4197 "opt": {
4198 "a": " sumDiss",
4199 "b": " minDiss",
4200 "c": " avgDiss",
4201 "d": " all of the Mentioned"
4202 }
4203 },
4204 {
4205 "name": "Question 382",
4206 "desc": "Which of the following function can create the indices for time series type of splitting ?",
4207 "ans": "b",
4208 "opt": {
4209 "a": " newTimeSlices",
4210 "b": " createTimeSlices",
4211 "c": " binTimeSlices",
4212 "d": " none of the Mentioned"
4213 }
4214 },
4215 {
4216 "name": "Question 383",
4217 "desc": "Point out the correct statement:",
4218 "ans": "d",
4219 "opt": {
4220 "a": " Asymptotics are used for inference usually",
4221 "b": " caret includes several functions to pre-process the predictor data",
4222 "c": " The function dummyVars can be used to generate a complete set of dummy variables from one or more factors",
4223 "d": " All of the Mentioned"
4224 }
4225 },
4226 {
4227 "name": "Question 384",
4228 "desc": "Which of the following can be used to create sub�samples using a maximum dissimilarity approach ?",
4229 "ans": "b",
4230 "opt": {
4231 "a": " minDissim",
4232 "b": " maxDissim",
4233 "c": " inmaxDissim",
4234 "d": " all of the Mentioned"
4235 }
4236 },
4237 {
4238 "name": "Question 385",
4239 "desc": "caret does not use the proxy package.",
4240 "ans": "b",
4241 "opt": {
4242 "a": "ue",
4243 "b": "LSE",
4244 "c": "ne",
4245 "d": "ne"
4246 }
4247 },
4248 {
4249 "name": "Question 386",
4250 "desc": "Which of the following function can be used to create balanced splits of the data ?",
4251 "ans": "b",
4252 "opt": {
4253 "a": " newDataPartition",
4254 "b": " createDataPartition",
4255 "c": " renameDataPartition",
4256 "d": " none of the Mentioned"
4257 }
4258 },
4259 {
4260 "name": "Question 387",
4261 "desc": "Which of the following package tools are present in caret ?",
4262 "ans": "d",
4263 "opt": {
4264 "a": " pre-processing",
4265 "b": " feature selection",
4266 "c": " model tuning",
4267 "d": " all of the Mentioned"
4268 }
4269 },
4270 {
4271 "name": "Question 388",
4272 "desc": "caret stands for classification And regression training.\r",
4273 "ans": "a",
4274 "opt": {
4275 "a": "ue",
4276 "b": "LSE",
4277 "c": "ne",
4278 "d": "ne"
4279 }
4280 },
4281 {
4282 "name": "Question 389",
4283 "desc": "Which of the following function is a wrapper for different lattice plots to visualize the data ?",
4284 "ans": "b",
4285 "opt": {
4286 "a": " levelplot",
4287 "b": " featurePlot",
4288 "c": " plotsample",
4289 "d": " none of the Mentioned"
4290 }
4291 },
4292 {
4293 "name": "Question 390",
4294 "desc": "Point out the wrong statement:",
4295 "ans": "a",
4296 "opt": {
4297 "a": " In every situation, the data generating mechanism can create predictors that only have a single unique value",
4298 "b": " Predictors might have only a handful of unique values that occur with very low frequencies",
4299 "c": " The function findLinearCombos uses the QR decomposition of a matrix to enumerate sets of linear combinations",
4300 "d": " All of the Mentioned"
4301 }
4302 },
4303 {
4304 "name": "Question 391",
4305 "desc": "Which of the following function can be used to identify near zero-variance variables ?",
4306 "ans": "c",
4307 "opt": {
4308 "a": " zeroVar",
4309 "b": " nearVar",
4310 "c": " nearZeroVar",
4311 "d": " all of the Mentioned"
4312 }
4313 },
4314 {
4315 "name": "Question 392",
4316 "desc": "Which of the following function can be used to flag predictors for removal ?",
4317 "ans": "c",
4318 "opt": {
4319 "a": " searchCorrelation",
4320 "b": " findCausation",
4321 "c": " findCorrelation",
4322 "d": " none of the Mentioned"
4323 }
4324 },
4325 {
4326 "name": "Question 393",
4327 "desc": "Point out the correct statement:",
4328 "ans": "b",
4329 "opt": {
4330 "a": " findLinearColumns will also return a vector of column positions can be removed to eliminate the linear dependencies",
4331 "b": " findLinearCombos will return a list that enumerates dependencies",
4332 "c": " The function findLinearRows can be used to generate a complete set of row variables from one factor",
4333 "d": " none of the Mentioned"
4334 }
4335 },
4336 {
4337 "name": "Question 394",
4338 "desc": "Which of the following can be used to impute data sets based only on information in the training set?",
4339 "ans": "b",
4340 "opt": {
4341 "a": " postProcess",
4342 "b": " preProcess",
4343 "c": " process",
4344 "d": " all of the Mentioned"
4345 }
4346 },
4347 {
4348 "name": "Question 395",
4349 "desc": "The function preProcess estimates the required parameters for each operation.",
4350 "ans": "a",
4351 "opt": {
4352 "a": "ue",
4353 "b": "LSE",
4354 "c": "ne",
4355 "d": "ne"
4356 }
4357 },
4358 {
4359 "name": "Question 396",
4360 "desc": "Which of the following can also be used to find new variables that are linear combinations of the original set with independent components ?",
4361 "ans": "a",
4362 "opt": {
4363 "a": " ICA",
4364 "b": " SCA",
4365 "c": " PCA",
4366 "d": " None of the Mentioned"
4367 }
4368 },
4369 {
4370 "name": "Question 397",
4371 "desc": "Which of the following function is used to generate the class distances ?",
4372 "ans": "b",
4373 "opt": {
4374 "a": " preprocess.classDist",
4375 "b": " predict.classDist",
4376 "c": " predict.classDistance",
4377 "d": " all of the Mentioned"
4378 }
4379 },
4380 {
4381 "name": "Question 398",
4382 "desc": "The preProcess class can be used for many operations on predictors.",
4383 "ans": "a",
4384 "opt": {
4385 "a": "ue",
4386 "b": "LSE",
4387 "c": "ne",
4388 "d": "ne"
4389 }
4390 },
4391 {
4392 "name": "Question 399",
4393 "desc": "varImp is a wrapper around the evimp function in the _______ package.",
4394 "ans": "b",
4395 "opt": {
4396 "a": " numpy",
4397 "b": " earth",
4398 "c": " plot",
4399 "d": " none of the Mentioned"
4400 }
4401 },
4402 {
4403 "name": "Question 400",
4404 "desc": "Point out the wrong statement:",
4405 "ans": "c",
4406 "opt": {
4407 "a": " The trapezoidal rule is used to compute the area under the ROC curve",
4408 "b": " For regression, the relationship between each predictor and the outcome is evaluated",
4409 "c": " An argument, para, is used to pick the model fitting technique",
4410 "d": " All of the Mentioned"
4411 }
4412 },
4413 {
4414 "name": "Question 401",
4415 "desc": "Which of the following curve analysis is conducted on each predictor for classification ?",
4416 "ans": "b",
4417 "opt": {
4418 "a": " NOC",
4419 "b": " ROC",
4420 "c": " COC",
4421 "d": " All of the Mentioned"
4422 }
4423 },
4424 {
4425 "name": "Question 402",
4426 "desc": "Which of the following function tracks the changes in model statistics ?",
4427 "ans": "a",
4428 "opt": {
4429 "a": " varImp",
4430 "b": " varImpTrack",
4431 "c": " findTrack",
4432 "d": " none of the Mentioned"
4433 }
4434 },
4435 {
4436 "name": "Question 403",
4437 "desc": "Point out the correct statement:",
4438 "ans": "a",
4439 "opt": {
4440 "a": " The difference between the class centroids and the overall centroid is used to measure the variable influence",
4441 "b": " The Bagged Trees output contains variable usage statistics",
4442 "c": " Boosted Trees uses different approach as a single tree",
4443 "d": " None of the Mentioned"
4444 }
4445 },
4446 {
4447 "name": "Question 404",
4448 "desc": "Which of the following model model include a backwards elimination feature selection routine ?",
4449 "ans": "b",
4450 "opt": {
4451 "a": " MCV",
4452 "b": " MARS",
4453 "c": " MCRS",
4454 "d": " All of the Mentioned"
4455 }
4456 },
4457 {
4458 "name": "Question 405",
4459 "desc": "The advantage of using a model-based approach is that is more closely tied to the model performance.\r",
4460 "ans": "a",
4461 "opt": {
4462 "a": "ue",
4463 "b": "LSE",
4464 "c": "ne",
4465 "d": "ne"
4466 }
4467 },
4468 {
4469 "name": "Question 406",
4470 "desc": "Which of the following model sums the importance over each boosting iteration ?",
4471 "ans": "a",
4472 "opt": {
4473 "a": " Boosted Trees",
4474 "b": " Bagged Trees",
4475 "c": " Partial Least Squares",
4476 "d": " None of the Mentioned"
4477 }
4478 },
4479 {
4480 "name": "Question 407",
4481 "desc": "Which of the following argument is used to set importance values ?",
4482 "ans": "a",
4483 "opt": {
4484 "a": " scale",
4485 "b": " set",
4486 "c": " value",
4487 "d": " all of the Mentioned"
4488 }
4489 },
4490 {
4491 "name": "Question 408",
4492 "desc": "For most classification models, each predictor will have a separate variable importance for each class.\ra) True\rb) False\rView Answer",
4493 "ans": "a",
4494 "opt": {
4495 "a": "",
4496 "b": "",
4497 "c": "",
4498 "d": ""
4499 }
4500 },
4501 {
4502 "name": "Question 409",
4503 "desc": "Which of the following is the valid component of predictor ?",
4504 "ans": "d",
4505 "opt": {
4506 "a": " data",
4507 "b": " question",
4508 "c": " algorithm",
4509 "d": " all of the Mentioned"
4510 }
4511 },
4512 {
4513 "name": "Question 410",
4514 "desc": "Point out the wrong statement:",
4515 "ans": "a",
4516 "opt": {
4517 "a": " In Sample Error is also called generalization error",
4518 "b": " Out of Sample Error is the error rate you get on the new dataset",
4519 "c": " In Sample Error is also called resubstitution error",
4520 "d": " All of the Mentioned"
4521 }
4522 },
4523 {
4524 "name": "Question 411",
4525 "desc": "Which of the following is correct order of working ?",
4526 "ans": "a",
4527 "opt": {
4528 "a": " questions->input data ->algorithms",
4529 "b": " questions->evaluation ->algorithms",
4530 "c": " evaluation->input data ->algorithms",
4531 "d": " all of the Mentioned"
4532 }
4533 },
4534 {
4535 "name": "Question 412",
4536 "desc": "Which of the following shows correct relative order of importance ?",
4537 "ans": "b",
4538 "opt": {
4539 "a": " question->features->data->algorithms",
4540 "b": " question->data->features->algorithms",
4541 "c": " algorithms->data->features->question",
4542 "d": " none of the Mentioned"
4543 }
4544 },
4545 {
4546 "name": "Question 413",
4547 "desc": "Point out the correct statement:",
4548 "ans": "d",
4549 "opt": {
4550 "a": " In Sample Error is the error rate you get on the same dataset used to model a predictor",
4551 "b": " Data have two parts-signal and noise",
4552 "c": " The goal of predictor is to find signal",
4553 "d": " None of the Mentioned"
4554 }
4555 },
4556 {
4557 "name": "Question 414",
4558 "desc": "Which of the following is characteristic of best machine learning method ?",
4559 "ans": "d",
4560 "opt": {
4561 "a": " Fast",
4562 "b": " Accuracy",
4563 "c": " Scalable",
4564 "d": " All of the Mentioned"
4565 }
4566 },
4567 {
4568 "name": "Question 415",
4569 "desc": "True positive means correctly rejected.",
4570 "ans": "b",
4571 "opt": {
4572 "a": "ue",
4573 "b": "LSE",
4574 "c": "ne",
4575 "d": "ne"
4576 }
4577 },
4578 {
4579 "name": "Question 416",
4580 "desc": "Which of the following trade-off occurs during prediction ?",
4581 "ans": "d",
4582 "opt": {
4583 "a": " Speed vs Accuracy",
4584 "b": " Simplicity vs Accuracy",
4585 "c": " Scalability vs Accuracy",
4586 "d": " None of the Mentioned"
4587 }
4588 },
4589 {
4590 "name": "Question 417",
4591 "desc": "Which of the following expression is true ?",
4592 "ans": "a",
4593 "opt": {
4594 "a": " In sample error < out sample error",
4595 "b": " In sample error > out sample error",
4596 "c": " In sample error = out sample error",
4597 "d": " All of the Mentioned"
4598 }
4599 },
4600 {
4601 "name": "Question 418",
4602 "desc": "Backtesting is a key component of effective trading-system development.",
4603 "ans": "a",
4604 "opt": {
4605 "a": "ue",
4606 "b": "LSE",
4607 "c": "ne",
4608 "d": "ne"
4609 }
4610 },
4611 {
4612 "name": "Question 419",
4613 "desc": "Which of the following is correct use of cross validation?",
4614 "ans": "d",
4615 "opt": {
4616 "a": " Selecting variables to include in a model",
4617 "b": " Comparing predictors",
4618 "c": " Selecting parameters in prediction function",
4619 "d": " All of the Mentioned"
4620 }
4621 },
4622 {
4623 "name": "Question 420",
4624 "desc": "Point out the wrong combination:",
4625 "ans": "c",
4626 "opt": {
4627 "a": " True negative=correctly rejected",
4628 "b": " False negative=correctly rejected",
4629 "c": " False positive=correctly identified",
4630 "d": " All of the Mentioned"
4631 }
4632 },
4633 {
4634 "name": "Question 421",
4635 "desc": "Which of the following is common error measure?",
4636 "ans": "d",
4637 "opt": {
4638 "a": " Sensitivity",
4639 "b": " Median absolute deviation",
4640 "c": " Specificity",
4641 "d": " All of the Mentioned"
4642 }
4643 },
4644 {
4645 "name": "Question 422",
4646 "desc": "Which of the following is not a machine learning algorithm?",
4647 "ans": "a",
4648 "opt": {
4649 "a": " SVG",
4650 "b": " SVM",
4651 "c": " Random forest",
4652 "d": " None of the Mentioned"
4653 }
4654 },
4655 {
4656 "name": "Question 423",
4657 "desc": "Point out the wrong statement:",
4658 "ans": "d",
4659 "opt": {
4660 "a": " ROC curve stands for receiver operating characteristic",
4661 "b": " Foretime series, data must be in chunks",
4662 "c": " Random sampling must be done with replacement",
4663 "d": " None of the Mentioned"
4664 }
4665 },
4666 {
4667 "name": "Question 424",
4668 "desc": "Which of the following is a categorical outcome?",
4669 "ans": "c",
4670 "opt": {
4671 "a": " RMSE",
4672 "b": " RSquared",
4673 "c": " Accuracy",
4674 "d": " All of the Mentioned"
4675 }
4676 },
4677 {
4678 "name": "Question 425",
4679 "desc": "For k cross-validation, larger k value implies more bias.",
4680 "ans": "b",
4681 "opt": {
4682 "a": "ue",
4683 "b": "LSE",
4684 "c": "ne",
4685 "d": "ne"
4686 }
4687 },
4688 {
4689 "name": "Question 426",
4690 "desc": "Which of the following method is used for trainControl resampling?",
4691 "ans": "a",
4692 "opt": {
4693 "a": " repeatedcv",
4694 "b": " svm",
4695 "c": " bag32",
4696 "d": " none of the Mentioned"
4697 }
4698 },
4699 {
4700 "name": "Question 427",
4701 "desc": "Which of the following can be used to create the most common graph types?",
4702 "ans": "a",
4703 "opt": {
4704 "a": " qplot",
4705 "b": " quickplot",
4706 "c": " plot",
4707 "d": " all of the Mentioned"
4708 }
4709 },
4710 {
4711 "name": "Question 428",
4712 "desc": "For k cross-validation, smaller k value implies less variance.",
4713 "ans": "a",
4714 "opt": {
4715 "a": "ue",
4716 "b": "LSE",
4717 "c": "ne",
4718 "d": "ne"
4719 }
4720 },
4721 {
4722 "name": "Question 429",
4723 "desc": "Predicting with trees evaluate _____________ within each group of data.",
4724 "ans": "b",
4725 "opt": {
4726 "a": " equality",
4727 "b": " homogeneity",
4728 "c": " heterogeneity",
4729 "d": " all of the Mentioned"
4730 }
4731 },
4732 {
4733 "name": "Question 430",
4734 "desc": "Point out the wrong statement:",
4735 "ans": "a",
4736 "opt": {
4737 "a": " Training and testing data must be processed in different way",
4738 "b": " Test transformation would mostly be imperfect",
4739 "c": " The first goal is statistical and second is data compression in PCA",
4740 "d": " All of the Mentioned"
4741 }
4742 },
4743 {
4744 "name": "Question 431",
4745 "desc": "Which of the following method options is provided by train function for bagging ?",
4746 "ans": "d",
4747 "opt": {
4748 "a": " bagEarth",
4749 "b": " treebag",
4750 "c": " bagFDA",
4751 "d": " all of the Mentioned"
4752 }
4753 },
4754 {
4755 "name": "Question 432",
4756 "desc": "Which of the following is correct with respect to random forest?",
4757 "ans": "a",
4758 "opt": {
4759 "a": " Random forest are difficult to interpret but often very accurate",
4760 "b": " Random forest are easy to interpret but often very accurate",
4761 "c": " Random forest are difficult to interpret but very less accurate",
4762 "d": " None of the Mentioned"
4763 }
4764 },
4765 {
4766 "name": "Question 433",
4767 "desc": "Point out the correct statement:",
4768 "ans": "d",
4769 "opt": {
4770 "a": " Prediction with regression is easy to implement",
4771 "b": " Prediction with regression is easy to interpret",
4772 "c": " Prediction with regression performs well when linear model is correct",
4773 "d": " All of the Mentioned"
4774 }
4775 },
4776 {
4777 "name": "Question 434",
4778 "desc": "Which of the following library is used for boosting generalized additive models ?",
4779 "ans": "a",
4780 "opt": {
4781 "a": " gamBoost",
4782 "b": " gbm",
4783 "c": " ada",
4784 "d": " all of the Mentioned"
4785 }
4786 },
4787 {
4788 "name": "Question 435",
4789 "desc": "The principal components are equal to left singular values if you first scale the variables.",
4790 "ans": "b",
4791 "opt": {
4792 "a": "ue",
4793 "b": "LSE",
4794 "c": "ne",
4795 "d": "ne"
4796 }
4797 },
4798 {
4799 "name": "Question 436",
4800 "desc": "Which of the following is statistical boosting based on additive logistic regression ?",
4801 "ans": "a",
4802 "opt": {
4803 "a": " gamBoost",
4804 "b": " gbm",
4805 "c": " ada",
4806 "d": " mboost"
4807 }
4808 },
4809 {
4810 "name": "Question 437",
4811 "desc": "Which of the following is one of the largest boost subclass in boosting ?",
4812 "ans": "b",
4813 "opt": {
4814 "a": " variance boosting",
4815 "b": " gradient boosting",
4816 "c": " mean boosting",
4817 "d": " all of the Mentioned"
4818 }
4819 },
4820 {
4821 "name": "Question 438",
4822 "desc": "PCA is most useful for non linear type models.",
4823 "ans": "b",
4824 "opt": {
4825 "a": "ue",
4826 "b": "LSE",
4827 "c": "ne",
4828 "d": "ne"
4829 }
4830 },
4831 {
4832 "name": "Question 439",
4833 "desc": "Which of the following is correct about regularized regression ?",
4834 "ans": "a",
4835 "opt": {
4836 "a": " Can help with bias trade-off",
4837 "b": " Cannot help with model selection",
4838 "c": " Cannot help with variance trade-off",
4839 "d": " All of the Mentioned"
4840 }
4841 },
4842 {
4843 "name": "Question 440",
4844 "desc": "Point out the wrong statement:",
4845 "ans": "c",
4846 "opt": {
4847 "a": " Model based approach may be computationally convenient",
4848 "b": " Model based approach use Bayes theorem",
4849 "c": " Model based approach are reasonably inaccurate on real problems",
4850 "d": " All of the Mentioned"
4851 }
4852 },
4853 {
4854 "name": "Question 441",
4855 "desc": "Which of the following methods are present in caret for regularized regression ?",
4856 "ans": "d",
4857 "opt": {
4858 "a": " ridge",
4859 "b": " lasso",
4860 "c": " relaxo",
4861 "d": " all of the Mentioned"
4862 }
4863 },
4864 {
4865 "name": "Question 442",
4866 "desc": "Which of the following method can be used to combine different classifiers ?",
4867 "ans": "a",
4868 "opt": {
4869 "a": " Model stacking",
4870 "b": " Model combining",
4871 "c": " Model structuring",
4872 "d": " None of the Mentioned"
4873 }
4874 },
4875 {
4876 "name": "Question 443",
4877 "desc": "Point out the correct statement:",
4878 "ans": "c",
4879 "opt": {
4880 "a": " Combining classifiers improves interpretability",
4881 "b": " Combining classifiers reduces accuracy",
4882 "c": " Combining classifiers improves accuracy",
4883 "d": " All of the Mentioned"
4884 }
4885 },
4886 {
4887 "name": "Question 444",
4888 "desc": "Which of the following function provides unsupervised prediction ?",
4889 "ans": "d",
4890 "opt": {
4891 "a": " cl_forecast",
4892 "b": " cl_nowcast",
4893 "c": " cl_precast",
4894 "d": " none of the Mentioned"
4895 }
4896 },
4897 {
4898 "name": "Question 445",
4899 "desc": "Model based prediction considers relatively easy version for covariance matrix.",
4900 "ans": "b",
4901 "opt": {
4902 "a": "ue",
4903 "b": "LSE",
4904 "c": "ne",
4905 "d": "ne"
4906 }
4907 },
4908 {
4909 "name": "Question 446",
4910 "desc": "Which of the following is used to assist the quantitative trader in the development ?",
4911 "ans": "a",
4912 "opt": {
4913 "a": " quantmod",
4914 "b": " quantile",
4915 "c": " quantity",
4916 "d": " mboost"
4917 }
4918 },
4919 {
4920 "name": "Question 447",
4921 "desc": "Which of the following function can be used for forecasting ?",
4922 "ans": "b",
4923 "opt": {
4924 "a": " predict",
4925 "b": " forecast",
4926 "c": " ets",
4927 "d": " all of the Mentioned"
4928 }
4929 },
4930 {
4931 "name": "Question 448",
4932 "desc": "Predictive analytics is same as forecasting.",
4933 "ans": "b",
4934 "opt": {
4935 "a": "ue",
4936 "b": "LSE",
4937 "c": "ne",
4938 "d": "ne"
4939 }
4940 },
4941 {
4942 "name": "Question 449",
4943 "desc": "Which of the following project is used for calling R products from web ?",
4944 "ans": "a",
4945 "opt": {
4946 "a": " OpenCPU",
4947 "b": " OpenDisk",
4948 "c": " OpenMem",
4949 "d": " All of the Mentioned"
4950 }
4951 },
4952 {
4953 "name": "Question 450",
4954 "desc": "Point out the wrong statement:",
4955 "ans": "c",
4956 "opt": {
4957 "a": " Shiny is platform for creating interactive programs embedded in to web page",
4958 "b": " Shiny is invented by R folks",
4959 "c": " Time required to create data products using shiny is more",
4960 "d": " All of the Mentioned"
4961 }
4962 },
4963 {
4964 "name": "Question 451",
4965 "desc": "Which of the following statement will install shiny ?",
4966 "ans": "a",
4967 "opt": {
4968 "a": " install.packages(�shiny�)",
4969 "b": " install.library(�shiny�)",
4970 "c": " install.lib(�shiny�)",
4971 "d": " all of the Mentioned"
4972 }
4973 },
4974 {
4975 "name": "Question 452",
4976 "desc": "Which of the following can be done by shiny ?",
4977 "ans": "d",
4978 "opt": {
4979 "a": " Tabbed main panels",
4980 "b": " Editable data tables",
4981 "c": " Dynamic UI",
4982 "d": " All of the Mentioned"
4983 }
4984 },
4985 {
4986 "name": "Question 453",
4987 "desc": "Point out the correct statement:",
4988 "ans": "d",
4989 "opt": {
4990 "a": " shiny project is a directory containing at least three parts",
4991 "b": " shiny project is a file containing at least three parts",
4992 "c": " shiny project consist is a directory containing only one part",
4993 "d": " none of the Mentioned"
4994 }
4995 },
4996 {
4997 "name": "Question 454",
4998 "desc": "Which of the following function can interrupt execution and can be called continuously ?",
4999 "ans": "a",
5000 "opt": {
5001 "a": " browser()",
5002 "b": " browse()",
5003 "c": " search()",
5004 "d": " all of the Mentioned"
5005 }
5006 },
5007 {
5008 "name": "Question 455",
5009 "desc": "runApp() will run the shiny and open the browser window.",
5010 "ans": "a",
5011 "opt": {
5012 "a": "ue",
5013 "b": "LSE",
5014 "c": "ne",
5015 "d": "ne"
5016 }
5017 },
5018 {
5019 "name": "Question 456",
5020 "desc": "Which of the following function is for single checkbox widget ?",
5021 "ans": "a",
5022 "opt": {
5023 "a": " checkboxInput",
5024 "b": " dateInput",
5025 "c": " singleboxInput",
5026 "d": " all of the Mentioned"
5027 }
5028 },
5029 {
5030 "name": "Question 457",
5031 "desc": "How many components are involved in shiny ?",
5032 "ans": "d",
5033 "opt": {
5034 "a": " 3",
5035 "b": " 4",
5036 "c": " 5",
5037 "d": " none of the Mentioned"
5038 }
5039 },
5040 {
5041 "name": "Question 458",
5042 "desc": "All of the styled elements are handled through server.R.\r",
5043 "ans": "b",
5044 "opt": {
5045 "a": "ue",
5046 "b": "LSE",
5047 "c": "ne",
5048 "d": "ne"
5049 }
5050 },
5051 {
5052 "name": "Question 459",
5053 "desc": "Which of the following framework is compatible with slidify ?",
5054 "ans": "b",
5055 "opt": {
5056 "a": " io2015",
5057 "b": " io2012",
5058 "c": " d3",
5059 "d": " all of the Mentioned"
5060 }
5061 },
5062 {
5063 "name": "Question 460",
5064 "desc": "Point out the wrong statement:",
5065 "ans": "b",
5066 "opt": {
5067 "a": " Slidify is created by Ramnath Vaidyanathan",
5068 "b": " Slidify is non customizable",
5069 "c": " Slidify presentation are just HTML files",
5070 "d": " All of the Mentioned"
5071 }
5072 },
5073 {
5074 "name": "Question 461",
5075 "desc": "Which of the following statement will load slidify ?",
5076 "ans": "a",
5077 "opt": {
5078 "a": " library(slidify)",
5079 "b": " install.library(slidify)",
5080 "c": " install.load(slidify)",
5081 "d": " all of the Mentioned"
5082 }
5083 },
5084 {
5085 "name": "Question 462",
5086 "desc": "Which of the following will be used to compose the content of presentation ?",
5087 "ans": "b",
5088 "opt": {
5089 "a": " ui.RMD",
5090 "b": " index.RMD",
5091 "c": " server.RMD",
5092 "d": " all of the Mentioned"
5093 }
5094 },
5095 {
5096 "name": "Question 463",
5097 "desc": "Point out the correct statement:",
5098 "ans": "a",
5099 "opt": {
5100 "a": " Slidify allows embedded code chunks",
5101 "b": " Slidify presentation cannot be shared easily",
5102 "c": " Slidify is difficult to use",
5103 "d": " None of the Mentioned"
5104 }
5105 },
5106 {
5107 "name": "Question 464",
5108 "desc": "Which of the following statement generates a html slide deck from index.Rmd ?",
5109 "ans": "a",
5110 "opt": {
5111 "a": " slidify(�index.Rmd�)",
5112 "b": " lib.slidify(�index.Rmd�)",
5113 "c": " slidifylib(�index.Rmd�)",
5114 "d": " all of the Mentioned"
5115 }
5116 },
5117 {
5118 "name": "Question 465",
5119 "desc": "The first part of index.Rmd is XML code.\r",
5120 "ans": "b",
5121 "opt": {
5122 "a": "ue",
5123 "b": "LSE",
5124 "c": "ne",
5125 "d": "ne"
5126 }
5127 },
5128 {
5129 "name": "Question 466",
5130 "desc": "Which of the following statement will install slidify from github ?",
5131 "ans": "a",
5132 "opt": {
5133 "a": " install_github(�slidify�, �ramnathv�)",
5134 "b": " install_github(�slidify�, �r�)",
5135 "c": " install(�slidify�, �ramnathv�)",
5136 "d": " all of the Mentioned"
5137 }
5138 },
5139 {
5140 "name": "Question 467",
5141 "desc": "Which of the following element can be added to slidify ?",
5142 "ans": "d",
5143 "opt": {
5144 "a": " Quiz",
5145 "b": " RCharts",
5146 "c": " Shiny apps",
5147 "d": " All of the Mentioned"
5148 }
5149 },
5150 {
5151 "name": "Question 468",
5152 "desc": "MathJax is a cross-browser JavaScript library that displays mathematical notation in web browsers.\r",
5153 "ans": "a",
5154 "opt": {
5155 "a": "ue",
5156 "b": "LSE",
5157 "c": "ne",
5158 "d": "ne"
5159 }
5160 },
5161 {
5162 "name": "Question 469",
5163 "desc": "Which of the following is R interface to google charts ?",
5164 "ans": "a",
5165 "opt": {
5166 "a": " googleVis",
5167 "b": " googleChart",
5168 "c": " googleDataVis",
5169 "d": " all of the Mentioned"
5170 }
5171 },
5172 {
5173 "name": "Question 470",
5174 "desc": "Point out the wrong statement:",
5175 "ans": "a",
5176 "opt": {
5177 "a": " The plot command does open a graphics device in the modern way",
5178 "b": " Motion Chart is only displayed when hosted on a web server",
5179 "c": " gvisMotionChart is used to create motion chart",
5180 "d": " All of the Mentioned"
5181 }
5182 },
5183 {
5184 "name": "Question 471",
5185 "desc": "Which of the following create a Google Gadget based on a Google Visualization Object ?",
5186 "ans": "b",
5187 "opt": {
5188 "a": " createGadget",
5189 "b": " createGoogleGadget",
5190 "c": " newGoogleGadget",
5191 "d": " all of the Mentioned"
5192 }
5193 },
5194 {
5195 "name": "Question 472",
5196 "desc": "Which of the following reads a data.frame and creates text output referring to the Google Visualization API ?",
5197 "ans": "c",
5198 "opt": {
5199 "a": " gvisAnnotatedLine",
5200 "b": " gvisTimeLine",
5201 "c": " gvisAnnotatedTimeLine",
5202 "d": " none of the Mentioned"
5203 }
5204 },
5205 {
5206 "name": "Question 473",
5207 "desc": "Point out the correct statement:",
5208 "ans": "d",
5209 "opt": {
5210 "a": " gvisAnnotationChart returns list of class �gvis� and �list�",
5211 "b": " The gvisAreaChart function reads a data.frame and creates text output referring to the Google Visualization API",
5212 "c": " gvisAreaChart returns list of class �gvis� and �list�",
5213 "d": " All of the Mentioned"
5214 }
5215 },
5216 {
5217 "name": "Question 474",
5218 "desc": "Which of the following is used for creating interacting tables ?",
5219 "ans": "b",
5220 "opt": {
5221 "a": " gvisGeoChart",
5222 "b": " gvisTable",
5223 "c": " gvisLineChart",
5224 "d": " all of the Mentioned"
5225 }
5226 },
5227 {
5228 "name": "Question 475",
5229 "desc": "gvisAnnotatedTimeLine returns list of class �gvis� and �list�.\r",
5230 "ans": "a",
5231 "opt": {
5232 "a": "ue",
5233 "b": "LSE",
5234 "c": "ne",
5235 "d": "ne"
5236 }
5237 },
5238 {
5239 "name": "Question 476",
5240 "desc": "The actual chart of gvisBarChart is rendered by the web browser using _________ or VML.",
5241 "ans": "b",
5242 "opt": {
5243 "a": " JPEG",
5244 "b": " SVG",
5245 "c": " PDF",
5246 "d": " All of the Mentioned"
5247 }
5248 },
5249 {
5250 "name": "Question 477",
5251 "desc": "Which of the following is used for creating tree maps ?",
5252 "ans": "c",
5253 "opt": {
5254 "a": " gvisGeoChart",
5255 "b": " gvisTable",
5256 "c": " gvisTreeMap",
5257 "d": " all of the Mentioned"
5258 }
5259 },
5260 {
5261 "name": "Question 478",
5262 "desc": "gvisAnnotationChart charts are interactive time series line charts that support annotations.\r",
5263 "ans": "a",
5264 "opt": {
5265 "a": "ue",
5266 "b": "LSE",
5267 "c": "ne",
5268 "d": "ne"
5269 }
5270 },
5271 {
5272 "name": "Question 479",
5273 "desc": "Which of the following is contained in NumPy library?",
5274 "ans": "d",
5275 "opt": {
5276 "a": " n-dimensional array object",
5277 "b": " tools for integrating C/C++ and Fortran code",
5278 "c": " fourier transform",
5279 "d": " all of the Mentioned"
5280 }
5281 },
5282 {
5283 "name": "Question 480",
5284 "desc": "Point out the wrong statement:",
5285 "ans": "c",
5286 "opt": {
5287 "a": " ipython is an enhanced interactive Python shell",
5288 "b": " matplotlib will enable you to plot graphics",
5289 "c": " rPy provides a lot of scientific routines that work on top of NumPy",
5290 "d": " all of the Mentioned"
5291 }
5292 },
5293 {
5294 "name": "Question 481",
5295 "desc": "The ________ function returns its argument with a modified shape, whereas the ________ method modifies the array itself.",
5296 "ans": "a",
5297 "opt": {
5298 "a": " reshape,resize",
5299 "b": " resize,reshape",
5300 "c": " reshape2,resize",
5301 "d": " all of the Mentioned"
5302 }
5303 },
5304 {
5305 "name": "Question 482",
5306 "desc": "To create sequences of numbers, NumPy provides a function __________ analogous to range that returns arrays instead of lists.",
5307 "ans": "a",
5308 "opt": {
5309 "a": " arange",
5310 "b": " aspace",
5311 "c": " aline",
5312 "d": " all of the Mentioned"
5313 }
5314 },
5315 {
5316 "name": "Question 483",
5317 "desc": "Point out the correct statement:",
5318 "ans": "d",
5319 "opt": {
5320 "a": " NumPy main object is the homogeneous multidimensional array",
5321 "b": " In Numpy, dimensions are called axes",
5322 "c": " Numpy array class is called ndarray",
5323 "d": " All of the Mentioned"
5324 }
5325 },
5326 {
5327 "name": "Question 484",
5328 "desc": "Which of the following function stacks 1D arrays as columns into a 2D array?",
5329 "ans": "b",
5330 "opt": {
5331 "a": " row_stack",
5332 "b": " column_stack",
5333 "c": " com_stack",
5334 "d": " all of the Mentioned"
5335 }
5336 },
5337 {
5338 "name": "Question 485",
5339 "desc": "ndarray is also known as the alias array.\r",
5340 "ans": "a",
5341 "opt": {
5342 "a": "ue",
5343 "b": "LSE",
5344 "c": "ne",
5345 "d": "ne"
5346 }
5347 },
5348 {
5349 "name": "Question 486",
5350 "desc": "Which of the following method creates a new array object that looks at the same data?",
5351 "ans": "a",
5352 "opt": {
5353 "a": " view",
5354 "b": " copy",
5355 "c": " paste",
5356 "d": " all of the Mentioned"
5357 }
5358 },
5359 {
5360 "name": "Question 487",
5361 "desc": "Which of the following function can be used to combine different vectors so as to obtain the result for each n-uplet?",
5362 "ans": "b",
5363 "opt": {
5364 "a": " iid_",
5365 "b": " ix_",
5366 "c": " ixd_",
5367 "d": " all of the Mentioned"
5368 }
5369 },
5370 {
5371 "name": "Question 488",
5372 "desc": "ndarray.dataitemSize is the buffer containing the actual elements of the array.\r",
5373 "ans": "a",
5374 "opt": {
5375 "a": "ue",
5376 "b": "LSE",
5377 "c": "ne",
5378 "d": "ne"
5379 }
5380 },
5381 {
5382 "name": "Question 489",
5383 "desc": "Which of the following sets the size of the buffer used in ufuncs ?",
5384 "ans": "c",
5385 "opt": {
5386 "a": " bufsize(size)",
5387 "b": " setsize(size)",
5388 "c": " setbufsize(size)",
5389 "d": " all of the Mentioned"
5390 }
5391 },
5392 {
5393 "name": "Question 490",
5394 "desc": "Point out the wrong statement:",
5395 "ans": "b",
5396 "opt": {
5397 "a": " A universal function is a function that operates on ndarrays in an element-by-element fashion",
5398 "b": " In Numpy, universal functions are instances of the numpy.ufunction class",
5399 "c": " Many of the built-in functions are implemented in compiled C code",
5400 "d": " All of the Mentioned"
5401 }
5402 },
5403 {
5404 "name": "Question 491",
5405 "desc": "Which of the following attribute should be used while checking for type combination input and output ?",
5406 "ans": "a",
5407 "opt": {
5408 "a": " .types",
5409 "b": " .type",
5410 "c": " .class",
5411 "d": " all of the Mentioned"
5412 }
5413 },
5414 {
5415 "name": "Question 492",
5416 "desc": "Which of the following returns an array of ones with the same shape and type as a given array ?",
5417 "ans": "b",
5418 "opt": {
5419 "a": " all_like",
5420 "b": " ones_like",
5421 "c": " one_alike",
5422 "d": " all of the Mentioned"
5423 }
5424 },
5425 {
5426 "name": "Question 493",
5427 "desc": "Point out the wrong statement:",
5428 "ans": "c",
5429 "opt": {
5430 "a": " Each universal function takes array inputs and produces array outputs",
5431 "b": " Broadcasting is used throughout NumPy to decide how to handle disparately shaped arrays",
5432 "c": " The output of the ufunc is necessarily an ndarray, if all input arguments are ndarrays",
5433 "d": " All of the Mentioned"
5434 }
5435 },
5436 {
5437 "name": "Question 494",
5438 "desc": "Which of the following set the floating-point error callback function or log object ?",
5439 "ans": "b",
5440 "opt": {
5441 "a": " setter",
5442 "b": " settercall",
5443 "c": " setterstack",
5444 "d": " all of the Mentioned"
5445 }
5446 },
5447 {
5448 "name": "Question 495",
5449 "desc": "Some ufuncs can take output arguments.\r",
5450 "ans": "b",
5451 "opt": {
5452 "a": "UE",
5453 "b": "LSE",
5454 "c": " not choose",
5455 "d": " not choose"
5456 }
5457 },
5458 {
5459 "name": "Question 496",
5460 "desc": "___________ decompose the elements of x into mantissa and twos exponent.",
5461 "ans": "c",
5462 "opt": {
5463 "a": " trunc",
5464 "b": " fmod",
5465 "c": " frexp",
5466 "d": " ldexp"
5467 }
5468 },
5469 {
5470 "name": "Question 497",
5471 "desc": "Which of the following function take only single value as input ?",
5472 "ans": "a",
5473 "opt": {
5474 "a": " iscomplex",
5475 "b": " minimum",
5476 "c": " fmin",
5477 "d": " all of the Mentioned"
5478 }
5479 },
5480 {
5481 "name": "Question 498",
5482 "desc": "The array object returned by __array_prepare__ is passed to the ufunc for computation.\r",
5483 "ans": "a",
5484 "opt": {
5485 "a": "UE",
5486 "b": "LSE",
5487 "c": " not choose",
5488 "d": " not choose"
5489 }
5490 }
5491]