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 

dt = np.dtype([('age',np.int8)]) 

a = np.array([(10,),(20,),(30,)], dtype = dt) 

print a['age']

[[10 20 30]]
[10 20 30]
[10]
Error

2. 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

3. Axis 1, in panel represent?

minor_axis
major_axis
items
None of the above

4. Each built-in data type has a character code that uniquely identifies it.What is meaning of code "M"?

timedelta
datetime
objects
Unicode

5. Which of the following is a subset of machine learning?

Numpy
SciPy
Deep Learning
All of the above

6. In which step of Knowledge Discovery, multiple data sources are combined?

Data Cleaning
Data Integration
Data Selection
Data Transformation

7. The action _______ of a robot arm specify to Place block A on block B.

STACK(A,B)
LIST(A,B)
QUEUE(A,B)
ARRAY(A,B)

8. p → 0q is not a?

hack clause
horn clause
structural clause
system clause

9. What will be output for the following code?

import pandas as pd

s = pd.Series([1,2,3,4,5],index = ['a','b','c','d','e'])

print s['a']

1
2
3
4

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