Data Science Quiz


Play this quiz that will help you to excel in Data Science certification exams, placements etc. This Data Science quiz consist of 10 questions that you need to solve in 10 minutes. We’ve specially designed this quiz so that you can quickly acquaint to the pattern of questions you can be asked in placement drives, certification exams etc. This Data Science test enables you to assess your knowledge of Data Science.

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Data Science MCQs

Practice Data Science MCQ Questions, which will help you to improve your data science skills and also helps you to prepare for placements, technical rounds, interviews, competitive exams etc.

Data Science Quiz

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Data Science Quiz

1. The analysis performed to uncover interesting statistical correlations between associated-attribute-value pairs is called?

Mining of Association
Mining of Clusters
Mining of Correlations
None of the above

2. What will be output for the following code?

from scipy.special import logsumexp

import numpy as np

a = np.arange(10)

res = logsumexp(a)

print res

10
9.45862974443
9
9.46

3. Which of the following is false?

Subsetting can be used to select and exclude variables and observations
Raw data should be processed only one time.
Merging concerns combining datasets on the same observations to produce a result with more variables
None Of the above

4. The value most recurrent in the sample set is known as ________.

Mean
Median
Mode
Standard Deviation

5. How many ways a set of three planes can intersect?

3
4
5
6

6. "Efficiency and scalability of data mining algorithms" issues comes under?

Mining Methodology and User Interaction Issues
Performance Issues
Diverse Data Types Issues
None of the above

7. The input image has been converted into a matrix of size 28 X 28 and a kernel/filter of size 7 X 7 with a stride of 1. What will be the size of the convoluted matrix?

20x20
21x21
22x22
25x25

8. Which is used to query and edit graphical settings?

anova()
par()
plot()
cum()

9. Which of the following is not a type of matrix?

Square Matrix
Scalar Matrix
Trace Matrix
Term Matrix

10. Which of the following is the common goal of statistical modelling?

Inference
Summarizing
Subsetting
None of the above

Results