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.

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

Explore more Topics under Data Science

01

Data Analysis with Python

02

Data Manipulation

03

Data Analysis and Research

04

Statistical Inference and Regression Models

05

Machine Learning

06

Developing Data Products

Q61.

Point out the correct statement.

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

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

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

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?

Velocity

Variety

Volume

None of the mentioned

Discuss

Answer: (b).Variety

Q63.

Which of the following analytical capabilities are provided by information management company?

Stream Computing

Content Management

Information Integration

All of the mentioned

Discuss

Answer: (d).All of the mentioned

Q64.

Point out the wrong statement.

The big volume indeed represents Big Data

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

Big Data is just about lots of data

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?

Data Cleansing

Data Integration

Data Replication

All of the mentioned

Discuss

Answer: (a).Data Cleansing

Q66.

3V’s are not sufficient to describe big data.

True

False

May be True or False

Can't say

Discuss

Answer: (a).True

Q67.

Which of the following focuses on the discovery of (previously) unknown properties on the data?

Data mining

Big Data

Data wrangling

Machine Learning

Discuss

Answer: (a).Data mining

Q68.

Beyond Volume, variety and velocity are the issues of big data veracity.

True

False

May be True or False

Can't say

Discuss

Answer: (a).True

Q69.

Point out the correct statement.

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

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

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

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?

answer

question

data

none of the mentioned

Discuss

Answer: (b).question

Page 7 of 8

Welcome to the Data Science Basics MCQs Page

Data Science Basics MCQs | Page 7 of 8

Explore more Topics under Data Science

Data Analysis with Python

Data Manipulation

Data Analysis and Research

Statistical Inference and Regression Models

Machine Learning

Developing Data Products

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