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 5 of 24

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Data Structures Basics

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Data Types and Abstraction

03

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04

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Object Oriented Programming

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Dynamic Programming

Q41.

The best average behaviour is shown by

Quick Sort

Merge Sort

Insertion Sort

Heap Sort

Discuss

Answer: (a).Quick Sort

Q42.

Consider that n elements are to be sorted. What is the worst case time complexity of Bubble sort?

O(1)

O(logn)

O(n)

O(n^2)

Discuss

Answer: (d).O(n^2)

Q43.

A characteristic of the data that binary search uses but the linear search ignores is the___________.

Order of the elements of the list.

Length of the list.

Maximum value in list.

Type of elements of the list.

Discuss

Answer: (a).Order of the elements of the list.

Q44.

Which of the following sorting algorithm is stable ?

insertion sort

bubble sort

quick sort

heap sort

Discuss

Answer: (d).heap sort

Q45.

In binary search, average number of comparison required for searching an element in a list if n numbers is

log2 n

n /2

n-1

Discuss

Answer: (a).log2 n

Q46.

The worst case of quick sort has order

O(n^2 )

O(n)

O (n log2 n)

O (log2 n)

Discuss

Answer: (a).O(n^2 )

Q47.

Which technique is suitable for performing a search in a small array or in an unsorted array?

Binary search

Traversing

Linear search

Sums

Discuss

Answer: (c).Linear search

Q48.

What finds the largest element in the array, and puts it in the proper place?

Selection sort

Insertion sort

Quick sort

None of the above

Discuss

Answer: (a).Selection sort

Q49.

Which array is the fastest on an average, but sometimes unbalanced partitions can lead to very slow sorting?

Insertion sort

Selection sort

Quick sort

None of the above

Discuss

Answer: (c).Quick sort

Q50.

In computer science, what is of immense importance and is one of the most extensively researched subjects?

Sorting

Searching

Both (a) and (b)

Inflecting

Discuss

Answer: (c).Both (a) and (b)

Page 5 of 24

Welcome to the Sorting and Searching MCQs Page

Sorting and Searching MCQs | Page 5 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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