Welcome to the Sorting and Searching MCQs Page

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

Sorting and Searching MCQs | Page 1 of 24

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

Recursion

08

Trees

09

Graphs

10

String Operations

11

Object Oriented Programming

12

Dynamic Programming

Q1.

What is not true about insertion sort?

Exhibits the worst case performance when the initial array is sorted in reverse order.

Worst case and average case performance is Ο(n2)

Can be compared to the way a card player arranges his card from a card deck.

None of the above.

Discuss

Answer: (d).None of the above.

Q2.

Which of the following has search efficiency of Ο(1) −

Tree

Heap

Hash Table

Linked-List

Discuss

Answer: (c).Hash Table

Q3.

Which of the following algorithm is not stable?

Bubble Sort

Quick Sort

Merge Sort

Insertion Sort

Discuss

Answer: (b).Quick Sort

Q4.

Which of the below mentioned sorting algorithms are not stable?

Selection Sort

Bubble Sort

Merge Sort

Insertion Sort

Discuss

Answer: (a).Selection Sort

Q5.

A pivot element to partition unsorted list is used in

Merge Sort

Quick Sort

Insertion Sort

Selection Sort

Discuss

Answer: (b).Quick Sort

Q6.

Which of the following algorithm does not divide the list −

linear search

binary search

merge sort

quick sort

Discuss

Answer: (a).linear search

Q7.

Time required to merge two sorted lists of size m and n, is

Ο(m | n)

Ο(m + n)

Ο(m log n)

Ο(n log m)

Discuss

Answer: (b).Ο(m + n)

Q8.

Quick sort algorithm is an example of

Greedy approach

Improved binary search

Dynamic Programming

Divide and conquer

Discuss

Answer: (d).Divide and conquer

Q9.

Quick sort running time depends on the selection of

size of array

pivot element

sequence of values

none of the above

Discuss

Answer: (b).pivot element

Q10.

Which one of the below is not divide and conquer approach?

Insertion Sort

Merge Sort

Shell Sort

Heap Sort

Discuss

Answer: (b).Merge Sort

Page 1 of 24

Welcome to the Sorting and Searching MCQs Page

Sorting and Searching MCQs | Page 1 of 24

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

Recursion

Trees

Graphs

String Operations

Object Oriented Programming

Dynamic Programming

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