Welcome to the Recursion MCQs Page

Dive deep into the fascinating world of Recursion with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Recursion, a crucial aspect of Data Structures and Algorithms. In this section, you will encounter a diverse range of MCQs that cover various aspects of Recursion, 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 Recursion. 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 Recursion. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Recursion MCQs | Page 1 of 18

Explore more Topics under Data Structures and Algorithms

01

Data Structures Basics

02

Data Types and Abstraction

03

Algorithm Complexity

04

Arrays and Pointers

05

Linked Lists

06

Stacks and Queues

07

Trees

08

Graphs

09

String Operations

10

Sorting and Searching

11

Object Oriented Programming

12

Dynamic Programming

Q1.

Which of the following algorithm cannot be designed without recursion −

Tower of Hanoi

Fibonacci Series

Tree Traversal

None of the above

Discuss

Answer: (d).None of the above

Q2.

What about recursion is true in comparison with iteration?

very expensive in terms of memory.

low performance.

every recursive program can be written with iteration too.

all of the above are true.

Discuss

Answer: (d).all of the above are true.

Q3.

The following formula will produce

Fn = Fn-1 + Fn-2

Armstrong Number

Fibonacci Series

Euler Number

Prime Number

Discuss

Answer: (b).Fibonacci Series

Q4.

Tower of hanoi is a classic example of

divide and conquer

recursive approach

B but not A

Both A & B

Discuss

Answer: (d).Both A & B

Q5.

Recursion uses more memory space than iteration because

it uses stack instead of queue.

every recursive call has to be stored.

both A & B are true.

None of the above are true.

Discuss

Answer: (b).every recursive call has to be stored.

Q6.

A procedure that calls itself is called

illegal call

reverse polish

recursive

none of the above

Discuss

Answer: (c).recursive

Q7.

If there's no base criteria in a recursive program, the program will

not be executed.

execute until all conditions match.

execute infinitely.

obtain progressive approach.

Discuss

Answer: (c).execute infinitely.

Q8.

An algorithm that calls itself directly or indirectly is known as

Sub algorithm

Recursion

Polish notation

Traversal algorithm

Discuss

Answer: (b).Recursion

Q9.

Which Data Structure is used to perform Recursion?

Queue

Stack

Linked List

Tree

Discuss

Answer: (b).Stack

Q10.

What’s happen if base condition is not defined in recursion ?

Stack underflow

Stack Overflow

None of these

Both a and b

Discuss

Answer: (b).Stack Overflow

Page 1 of 18

Welcome to the Recursion MCQs Page

Recursion MCQs | Page 1 of 18

Explore more Topics under Data Structures and Algorithms

Data Structures Basics

Data Types and Abstraction

Algorithm Complexity

Arrays and Pointers

Linked Lists

Stacks and Queues

Trees

Graphs

String Operations

Sorting and Searching

Object Oriented Programming

Dynamic Programming

Suggested Topics

Object Oriented Programming

Discrete Mathematics

Systems Programming

Digital Communication

DBMS

Microprocessor

Formal Languages and Automata Theory

MongoDB

Neural Networks