Welcome to the Data Structures Basics MCQs Page

Dive deep into the fascinating world of Data Structures Basics with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Data Structures Basics, a crucial aspect of Data Structures and Algorithms. In this section, you will encounter a diverse range of MCQs that cover various aspects of Data Structures 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 Structures and Algorithms.

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

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

Data Structures Basics MCQs | Page 7 of 16

Explore more Topics under Data Structures and Algorithms

01

Data Types and Abstraction

02

Algorithm Complexity

03

Arrays and Pointers

04

Linked Lists

05

Stacks and Queues

06

Recursion

07

Trees

08

Graphs

09

String Operations

10

Sorting and Searching

11

Object Oriented Programming

12

Dynamic Programming

Q61.

In line '400 IF NAME$="***" THEN Average= Total Mark/N' of BASIC program, AVERAGE is considered as

real numbers

rational variables

negative integers

irrational numbers

Discuss

Answer: (a).real numbers

Q62.

In line '500 IF NAME$="***" THEN Average= Total Mark/N' of BASIC program, Total Mark and N are considered as

set of integers

negative odd numbers

positive even numbers

positive odd numbers

Discuss

Answer: (a).set of integers

Q63.

Rate at which cost of algorithm grows as size of its input grows is called its

Input growth

Outcome growth

Growth rate

Processing rate

Discuss

Answer: (c).Growth rate

Q64.

Critical resource for a program is most often its

Running time

Compile time

Storage

Testing time

Discuss

Answer: (a).Running time

Q65.

A growth rate of n, is referred to as

Absolute growth rate

Linear growth rate

Exponential growth rate

Quadratic growth rate

Discuss

Answer: (b).Linear growth rate

Q66.

Algorithm that begins with First position in array and looks at each value in turn until it is found is known to be

Linear seaching

Binary searching

Sequential searching

Tree searching

Discuss

Answer: (c).Sequential searching

Q67.

Efficiency of an algorithm is measured by

Absolute analysis

Cost analysis

Relative analysis

Asymptotic analysis

Discuss

Answer: (d).Asymptotic analysis

Q68.

An algorithm with running-time of a highest-order term containing a factor of n^2 is said to have a

Quadratic growth rate

Exponential growth rate

Absolute growth rate

Linear growth rate

Discuss

Answer: (a).Quadratic growth rate

Q69.

An analysis that estimates resource consumption of an algorithm is known to be

Relative analysis

Absolute analysis

Asymptotic analysis

Cost analysis

Discuss

Answer: (c).Asymptotic analysis

Q70.

Implementation of operations associated with an ADT is done by a

Member function

Member type

Member object

Member data-type

Discuss

Answer: (a).Member function

Page 7 of 16

Welcome to the Data Structures Basics MCQs Page

Data Structures Basics MCQs | Page 7 of 16

Explore more Topics under Data Structures and Algorithms

Data Types and Abstraction

Algorithm Complexity

Arrays and Pointers

Linked Lists

Stacks and Queues

Recursion

Trees

Graphs

String Operations

Sorting and Searching

Object Oriented Programming

Dynamic Programming

Suggested Topics

Human Computer Interaction

Digital Logic Design

Computer Graphics

Data Science

Management Information Systems

Hadoop

HTML

PHP

Computer Hardware