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 9 of 24

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Q81.

The second largest number from a set of n distinct numbers can be found in

O(n)

O(2n)

O(n^2)

O(log n)

Discuss

Answer: (a).O(n)

Q82.

The sort which inserts each elements A(K) into proper position in the previously sorted sub array A(1), ..., A(K–1)

Insertion sort

Radix sort

Merge sort

Bubble sort

Discuss

Answer: (a).Insertion sort

Q83.

Shell sort uses ................

insertion sort

merge sort

selection sort

quick sort

Discuss

Answer: (a).insertion sort

Q84.

A desirable choice for the partitioning element in quick sort is

First element of the list

Last element of the list

Randomly chosen element of the list

Median of the list

Discuss

Answer: (a).First element of the list

Q85.

Out of the following, the slowest sorting procedure is

Quick Sort

Heap Sort

Shell Sort

Bubble Sort

Discuss

Answer: (d).Bubble Sort

Q86.

The minimum number of comparisons required to find the largest number from 4 different numbers are

Discuss

Answer: (b).3

Q87.

A sorting algorithm is stable if

its time complexity is constant irrespective of the nature of input

preserves the original order of records with equal keys

its space complexity is constant irrespective of the nature of input

it sorts any volume of data in a constant time

Discuss

Answer: (b).preserves the original order of records with equal keys

Q88.

For a binary search algorithm to work, it is necessary that the array must be ............

sorted

unsorted

in a heap

popped out of stack

Discuss

Answer: (a).sorted

Q89.

Match the following:

List - I
i. Bubble Sort
ii. Shell Sort
iii. Selection Sort

List - II
a. Ο(n)
b. Ο(n2)
c. Ο(n log n)

i → a, ii → b, iii → c

i → b, ii → c, iii → a

i → a, ii → c, iii → b

i → b, ii → a, iii → c

Discuss

Answer: (b). i → b, ii → c, iii → a

Q90.

The largest and the second largest number from a set of n distinct numbers can be found in

O(n)

O(2n)

O(n^2)

O(log n)

Discuss

Answer: (a).O(n)

Page 9 of 24

Welcome to the Sorting and Searching MCQs Page

Sorting and Searching MCQs | Page 9 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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