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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.

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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 3 of 24

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Q21.
In general, the binary search method needs no more than ……………. comparisons.

a.

[log2n]-1

b.

[logn]+1

c.

[log2n]

d.

[log2n]+1

Discuss
Answer: (d).[log2n]+1
Q22.
The Worst case occur in linear search algorithm when

a.

Item is somewhere in the middle of the array

b.

Item is not in the array at all

c.

Item is the last element in the array

d.

Item is the last element in the array or is not there at all

Discuss
Answer: (d).Item is the last element in the array or is not there at all
Q23.
The Average case occur in linear search algorithm

a.

When Item is somewhere in the middle of the array

b.

When Item is not in the array at all

c.

When Item is the last element in the array

d.

When Item is the last element in the array or is not there at all

Discuss
Answer: (a).When Item is somewhere in the middle of the array
Q24.
Which of the following is not the required condition for binary search algorithm?

a.

The list must be sorted

b.

there should be the direct access to the middle element in any sublist

c.

There must be mechanism to delete and/or insert elements in list

d.

none of above

Discuss
Answer: (c).There must be mechanism to delete and/or insert elements in list
Q25.
Which of the following is not a limitation of binary search algorithm?

a.

must use a sorted array

b.

requirement of sorted array is expensive when a lot of insertion and deletions are needed

c.

there must be a mechanism to access middle element directly

d.

binary search algorithm is not efficient when the data elements are more than 1000

Discuss
Answer: (d).binary search algorithm is not efficient when the data elements are more than 1000
Q26.
Binary search algorithm can not be applied to

a.

sorted linked list

b.

sorted binary trees

c.

sorted linear array

d.

pointer array

Discuss
Answer: (a).sorted linked list
Q27.
If h is any hashing function and is used to hash n keys in to a table of size m, where n<=m, the expected number of collisions involving a particular key x is :

a.

less than 1

b.

less than n

c.

less than m

d.

less than n/2

Discuss
Answer: (a).less than 1
Q28.
You have to sort a list L consisting of a sorted list followed by a few “random” elements. Which of the following sorting methods would be especially suitable for such a task?

a.

Bubble sort

b.

Selection sort

c.

Quick sort

d.

Insertion sort

Discuss
Answer: (d).Insertion sort
Q29.
A technique for direct search is

a.

Binary Search

b.

Linear Search

c.

Tree Search

d.

Hashing

Discuss
Answer: (d).Hashing
Q30.
The searching technique that takes O (1) time to find a data is

a.

Linear Search

b.

Binary Search

c.

Hashing

d.

Tree Search

Discuss
Answer: (c).Hashing
Page 3 of 24

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