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 8 of 24

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Data Structures Basics

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Data Types and Abstraction

03

Algorithm Complexity

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07

Recursion

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Object Oriented Programming

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Dynamic Programming

Q71.

Searching refers to an operation of finding the location of an item in a_______.

Table

File

Both (a) and (b)

Column

Discuss

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

Q72.

When the records are stored in __________ or any secondary storage, then the searching is known as external searching.

Disk

Files

Tape

All of the above

Discuss

Answer: (d).All of the above

Q73.

Which is the easiest and least efficient searching technique?

Fibonacci search

Binary search

Linear search

None of the above

Discuss

Answer: (c).Linear search

Q74.

The average searching time for Fibonacci search is__________.

N(log N)

S(log N)

O(log N)

None of the above

Discuss

Answer: (c).O(log N)

Q75.

Fibonaccian search, also referred to as Fibonacci search, is a ________algorithm for searching a sorted array by narrowing possible locations to progressively smaller intervals.

Divide-and-rule

Divide-and-conquer

Divide-and-fall

None of the above

Discuss

Answer: (b).Divide-and-conquer

Q76.

At most, how many comparisons are required to search a sorted vector of 1023 elements using the binary search algorithm?

Discuss

Answer: (a).10

Q77.

Which of the following is an example of in-place algorithm?

Bubble Sort

Merge Sort

Insertion Sort

None of the above

Discuss

Answer: (b).Merge Sort

Q78.

The average case of quick sort has order

O(n^2)

O(n)

O(n log n)

O(log n)

Discuss

Answer: (c).O(n log n)

Q79.

Which sorting algorithm is the best if the list is already in order?

Quick sort

Merge sort

Insertion sort

None of these

Discuss

Answer: (c).Insertion sort

Q80.

The number of comparisons required to sort 5 numbers in ascending order using bubble sort is

Discuss

Answer: (c).10

Page 8 of 24

Welcome to the Sorting and Searching MCQs Page

Sorting and Searching MCQs | Page 8 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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