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Welcome to the Data Science Basics MCQs Page

Dive deep into the fascinating world of Data Science Basics with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Data Science Basics, a crucial aspect of Data Science. In this section, you will encounter a diverse range of MCQs that cover various aspects of Data Science Basics, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Science.

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Check out the MCQs below to embark on an enriching journey through Data Science Basics. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Science.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Data Science Basics. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Data Science Basics MCQs | Page 7 of 8

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Q61.
Point out the correct statement.

a.

Machine learning focuses on prediction, based on known properties learned from the training data

b.

Data Cleaning focuses on prediction, based on known properties learned from the training data

c.

Representing data in a form which both mere mortals can understand and get valuable insights is as much a science as much as it is art

d.

None of the mentioned

Discuss
Answer: (d).None of the mentioned
Q62.
Which of the following characteristic of big data is relatively more concerned to data science?

a.

Velocity

b.

Variety

c.

Volume

d.

None of the mentioned

Discuss
Answer: (b).Variety
Q63.
Which of the following analytical capabilities are provided by information management company?

a.

Stream Computing

b.

Content Management

c.

Information Integration

d.

All of the mentioned

Discuss
Answer: (d).All of the mentioned
Q64.
Point out the wrong statement.

a.

The big volume indeed represents Big Data

b.

The data growth and social media explosion have changed how we look at the data

c.

Big Data is just about lots of data

d.

All of the mentioned

Discuss
Answer: (c).Big Data is just about lots of data
Q65.
Which of the following step is performed by data scientist after acquiring the data?

a.

Data Cleansing

b.

Data Integration

c.

Data Replication

d.

All of the mentioned

Discuss
Answer: (a).Data Cleansing
Q66.
3V’s are not sufficient to describe big data.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q67.
Which of the following focuses on the discovery of (previously) unknown properties on the data?

a.

Data mining

b.

Big Data

c.

Data wrangling

d.

Machine Learning

Discuss
Answer: (a).Data mining
Q68.
Beyond Volume, variety and velocity are the issues of big data veracity.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q69.
Point out the correct statement.

a.

If equations are known but the parameters are not, they may be inferred with data analysis

b.

If equations are not known but the parameters are, they may be inferred with data analysis

c.

If equations and parameter are not, they may be inferred with data analysis

d.

None of the mentioned

Discuss
Answer: (a).If equations are known but the parameters are not, they may be inferred with data analysis
Q70.
Which of the following is the top most important thing in data science?

a.

answer

b.

question

c.

data

d.

none of the mentioned

Discuss
Answer: (b).question
Page 7 of 8

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