# 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.

## Take the Free Practice Test

### 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

Try Free Data Science Quiz, to start a quiz you need to login first, after login you will get start quiz button and then by clicking on that you can start quiz. You will get 10 Minutes to answer all questions.

## Data Science Quiz

1. What will be output for the following code?

```import numpy as np

print np.linspace(1., 4., 6)```

array([ 1. , 2.2, 2.8, 3.4, 4. ])
array([ 1. , 1.6, 2.8, 3.4, 4. ])
array([ 1. , 1.6, 2.2, 2.8, 3.4, 4. ])
array([ 1. , 1.6, 2.2, 2.8, 4. ])

2. Which of the following is a revision control system?

Git
Numpy
Scipy
Slidify

3. Which is used to find the factor congruence coefficients?

factor.mosaicplot
factor.xyplot
factor.congruence
factor.cumsum

4. If a dimension is given as ____ in a reshaping operation, the other dimensions are automatically calculated.

Zero
One
Negative one
Infinite

5. Which of the following is correct application for Eigenvectors?

computer vision
physics
machine learning
All of the above

6. Which of the intricate techniques is not used for data visualization?

Bullet Graphs
Bubble Clouds
Fever Maps
Heat Maps

7. Which of the following is true about regression analysis?

estimating numerical characteristics of the data
modeling relationships within the data
describing associations within the data

8. Which of the following is/are Limitations of deep learning?

Data labeling
Obtain huge training datasets
Both A and B
None of the above

9. _________ is a category of applications and technologies for presenting and analyzing corporate and external data.

MIS
DIS
EIS
CIS

10. Which of the following is/are Common uses of RNNs?