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 3 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

Q21.

Point out the wrong statement.

Simple linear regression is equipped to handle more than one predictor

Compound linear regression is not equipped to handle more than one predictor

Linear regression consists of finding the best-fitting straight line through the points

All of the mentioned

Discuss

Answer: (a).Simple linear regression is equipped to handle more than one predictor

Q22.

Which of the following technique is also referred to as Bagging?

Bootstrap aggregating

Bootstrap subsetting

Bootstrap predicting

All of the mentioned

Discuss

Answer: (a).Bootstrap aggregating

Q23.

Which of the following is characteristic of Raw Data?

Data is ready for analysis

Original version of data

Easy to use for data analysis

None of the mentioned

Discuss

Answer: (b).Original version of data

Q24.

Standard normal RVs are always labelled as Z.

True

False

May be True or False

Can't say

Discuss

Answer: (b).False

Q25.

Which of the following CLI command can also be used to rename files?

rm -r

none of the mentioned

Discuss

Answer: (b).mv

Q26.

Point out the correct statement.

CLI can help you to organize messages

CLI can help you to organize files and folders

Navigation of directory is possible using CLI

None of the mentioned

Discuss

Answer: (b).CLI can help you to organize files and folders

Q27.

Which of the following command allows you to change directory to one level above your parent directory?

cd.

cd..

none of the mentioned

Discuss

Answer: (c).cd..

Q28.

Which of the following is not a CLI command?

delete

clear

none of the mentioned

Discuss

Answer: (a).delete

Q29.

Point out the wrong statement.

Command is the CLI command which does a specific task

There is one and only flag for every command in CLI

Flags are the options given to command for activating particular behaviour

All of the mentioned

Discuss

Answer: (b).There is one and only flag for every command in CLI

Q30.

Which of the following systems record changes to a file over time?

Record Control

Version Control

Forecast Control

None of the mentioned

Discuss

Answer: (b).Version Control

Page 3 of 8

Welcome to the Data Science Basics MCQs Page

Data Science Basics MCQs | Page 3 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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