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. 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


2. Which of the following is correct skills for a Data Scientist?

Probability & Statistics
Machine Learning / Deep Learning
Data Wrangling
All of the above

3. Which of the following set the floating-point error callback function or log object?


4. Multiplication of a matrix with a scalar constant is called?

Complex multiplication
Linear multiplication
Scalar multiplication
Constant multiplication

5. What is a sentence parser typically used for?

It is used to parse sentences to check if they are utf-8 compliant.
It is used to parse sentences to derive their most likely syntax tree structures.
It is used to parse sentences to assign POS tags to all tokens.
It is used to check if sentences can be parsed into meaningful tokens.

6. Which of the following does not form part of BI Stack in SQL Server?


7. What will be output for the following code?

import numpy as np 

a = np.array([1, 2, 3,4,5], ndmin = 2) 

print a

[[1, 2, 3, 4, 5]]
[1, 2, 3, 4, 5]

8. What will be output for the following code?

import numpy as np 

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

print a

[[ 1.+0.j, 2.+0.j, 3.+0.j]]
[ 1.+0.j]
[ 1.+0.j, 2.+0.j, 3.+0.j]

9. Which of the following is a disadvantage of decision trees?

Factor analysis
Decision trees are robust to outliers
Decision trees are prone to be overfit
None of the above

10. Which neural network has only one hidden layer between the input and output?

Shallow neural network
Deep neural network
Feed-forward neural networks
Recurrent neural networks