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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 10 of 24

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Q91.
Hashing collision resolution techniques are:

a.

Huffman coding, linear hashing

b.

Bucket addressing, Huffman coding

c.

Chaining, Huffman coding

d.

Chaining, Bucket addressing

Discuss
Answer: (d).Chaining, Bucket addressing
Q92.
After each iteration in bubble sort:

a.

at least one element is at its sorted position

b.

one less comparison is made in the next iteration

c.

Both a & b are true

d.

Neither a nor b is true

Discuss
Answer: (a).at least one element is at its sorted position
Q93.
The running time of the following sorting algorithm depends on whether the partitioning is balanced or unbalanced.

a.

Insertion sort

b.

Selection sort

c.

Quick sort

d.

Merge sort

Discuss
Answer: (c).Quick sort
Q94.
The average case complexity of Insertion Sort is

a.

O(2^n)

b.

O(n^3)

c.

O(n^2)

d.

O(2n)

Discuss
Answer: (c).O(n^2)
Q95.
Linear search is highly inefficient compared to binary search when dealing with:

a.

Small, unsorted arrays

b.

Small, sorted arrays

c.

Large, unsorted arrays

d.

Large, sorted arrays

Discuss
Answer: (d).Large, sorted arrays
Q96.
A sorted file contains 16 items. Using binary search, the maximum number of comparisons to search for an item in this file is ...........

a.

15

b.

8

c.

1

d.

4

Discuss
Answer: (d).4
Q97.
The average number of key comparisons done in successful sequential search in a list of length n is ..............

a.

log n

b.

(n-1)/2

c.

n/2

d.

(n+1)/2

Discuss
Answer: (d).(n+1)/2
Q98.
The sorting technique where array to be sorted is partitioned again and again in such a way that all elements less than or equal to partitioning element appear before it and those which are greater appear after it, is called ..............

a.

Merge sort

b.

Quick sort

c.

Selection sort

d.

None of these

Discuss
Answer: (b).Quick sort
Q99.
The search technique for searching a sorted file that requires increased amount of space is ................

a.

Indexed sequential search

b.

Interpolation search

c.

Sequential search

d.

Tree search

Discuss
Answer: (a).Indexed sequential search
Q100.
For merging two sorted lists of sizes m and n into a sorted list of size m + n, we require comparisons of

a.

O(m)

b.

O(n)

c.

O(m+n)

d.

O(log(m) + log(n))

Discuss
Answer: (c).O(m+n)
Page 10 of 24

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