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

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. The number of nodes in the input layer is 10 and the hidden layer is 5. The maximum number of connections from the input layer to the hidden layer are

50
less than 50
more than 50
It is an arbitrary value

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

Bullet Graphs
Bubble Clouds
Fever Maps
Heat Maps

3. Which of the following functions can be used as an activation function in the output layer if we wish to predict the probabilities of n classes (p1, p2..pk) such that sum of p over all n equals to 1?

Softmax
ReLu
Sigmoid
Tanh

4. Pattern evaluation issue comes under?

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

5. Causal analysis is commonly applied to census data.

True
False
Can be true or false
Can not say

6. Which of the following lists names of variables in a data.frame?

par()
names()
barchart()
quantile()

7. Raw data should be processed only one time.

True
False
Can be true or false
Can not say

8. What is the syntax for dtype object?

numpy.dtype(object, align, copy, subok)
numpy.dtype(object, align, copy)
numpy.dtype(object, align, copy, ndmin)
numpy_dtype(object, align, copy)

9. DMQL stands for?

Data Mining Query Language
Dataset Mining Query Language
DBMiner Query Language
Data Marts Query Language

10. What will be output for the following code?

import numpy as np 

a = np.array([1,2,3]) 

print a

[[1, 2, 3]]
[1]
[1, 2, 3]
Error

Results