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?

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]
Error
Null

2. In which of the following cases will K-means clustering fail to give good results?
1) Data points with outliers
2) Data points with different densities
3) Data points with nonconvex shapes

1 and 2
2 and 3
1 and 3
All of the above

3. Which language is commonly used with Statistics?

C
C++
Ruby
R

4. Which of the following statement is true?

Some ufuncs can take output arguments.
Broadcasting is used throughout NumPy to decide how to handle disparately shaped arrays
Many of the built-in functions are implemented in compiled C code
The array object returned by __array_prepare__ is passed to the ufunc for computation.

5. What will be output for the following code?

from scipy import linalg

import numpy as np

A = np.array([[1,2],[3,4]])

x = linalg.det(A)

print x

2
1
-2
-1

6. 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. ])

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

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

8. What is the value of unit milli in SciPy?

0.01
0.1
0.0001
0.001

9. The scipy.linalg.solve feature solves the _______.

integration problem
differentiation problem
linear equation
All of the above

10. RNNs stands for?

Receives neural networks
Report neural networks
Recording neural networks
Recurrent neural networks

Results