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. 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

2. Which of the following thing can be data in Pandas?

a python dict
an ndarray
a scalar value
All of the above

3. Which are cons of data visualization?

It conveys a lot of information in a small space.
It makes your report more visually appealing.
visual data is distorted or excessively used.
None Of the above

4. What is the main role of Statistical functions, principles, and algorithms?

to analyze raw data
build a Statistical Model
predict the result
All of the above

5. What is true regarding Determinant of a Matrix?

The concept of determinant is applicable to square matrices only.
To find determinant, subtract diagonal elements together.
determinant is a vector value that can be computed from the elements of a Trace matrix
Both A and C

6. 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

7. What will be output for the following code?

from scipy import linalg

import numpy as np

a = np.array([[3, 2, 0], [1, -1, 0], [0, 5, 1]])

b = np.array([2, 4, -1])

x = linalg.solve(a, b)

print x

array([ 2., -2., 9., 6.])
array([ 2., -2., 9.])
array([ 2., -2.])
array([ 2., -2., 9., -9.])

8. In SciPy, determinant is computed using?

determinant()
SciPy.determinant()
det()
SciPy.det()

9. Which of the following is correct advantage of Update-Driven Approach in Data Warehousing?

This approach provides high performance.
The data can be copied, processed, integrated, annotated, summarized and restructured in the semantic data store in advance.
Both A and B
None Of the above

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

0.01
0.1
0.0001
0.001

Results