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 13 of 24

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Q121.

A sort which iteratively passes through a list to exchange the first element with any element less than it and then repeats with a new first element is called

heap sort

quick sort

selection sort

insertion sort

Discuss

Answer: (c).selection sort

Q122.

Which of the following statements is used in the binary search algorithm to halve the array ?

middle Sub = middle Sub/2;

middle Sub = (stop Sub - start Sub)/2;

middle Sub = start Sub + stop Sub/2;

middle Sub = (start Sub + stop Sub)/2;

Discuss

Answer: (d).middle Sub = (start Sub + stop Sub)/2;

Q123.

The data for which you are searching is called

binary argument

search argument

sorting argument

detection argument

Discuss

Answer: (b).search argument

Q124.

If the binary search algorithm determines that the search argument is in the lower half of the array, which of the following statements will, set the appropriate variable to the appropriate value?

stop Sub = middle Sub - 1;

stop Sub = middle Sub + 1.

start Sub = middle Sub - 1;

start Sub = middle Sub + 1;

Discuss

Answer: (d).start Sub = middle Sub + 1;

Q125.

Which of the following is false ?

A binary search begins with the middle element in the array

A binary search continues having the array either until a match is found or until there are no more elements to search

For a binary search to work, the data in the array must be arranged in either alphabetical or numerical order

If the search argument is greater than the value located in the middle of the binary, the binary search continues in the upper half of the array

Discuss

Answer: (d).If the search argument is greater than the value located in the middle of the binary, the binary search continues in the upper half of the array

Q126.

The number of swappings needed to sort the numbers 8, 22, 7, 9, 31, 19, 5, 13 in ascending order, using bubble sort is

Discuss

Answer: (c).14

Q127.

The average successful search time taken by binary search on a sorted array of 10 items is

2.7

2.8

2.9

3.0

Discuss

Answer: (c).2.9

Q128.

The average successful search time for sequential search on 'n' items is

n/2

(n-1)/2

(n+1)/2

log (n)+1

Discuss

Answer: (c).(n+1)/2

Q129.

Sorting is useful for

report generation

responding toe queries easily

making searching easier and efficient

All of these

Discuss

Answer: (d).All of these

Q130.

Choose the correct statements

External sorting needs auxilary storage

External sorting is used if the number of items to be sorted is very large.

Both (a) and (b)

Internal sorting is used if the number of items to be sorted is very large.

Discuss

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

Page 13 of 24

Welcome to the Sorting and Searching MCQs Page

Sorting and Searching MCQs | Page 13 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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