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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 23 of 24

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Q221.
Topological sort can be implemented by?

a.

Using Depth First Search

b.

Using Breadth First Search

c.

Using Depth and Breadth First Search

d.

None of the mentioned

Discuss
Answer: (c).Using Depth and Breadth First Search
Q222.
Topological sort is equivalent to which of the traversals in trees?

a.

Pre-order traversal

b.

Post-order traversal

c.

In-order traversal

d.

Level-order traversal

Discuss
Answer: (a).Pre-order traversal
Q223.
A man wants to go different places in the world. He has listed them down all. But there are some places where he wants to visit before some other places. What application of graph can he use to determine that?

a.

Depth First Search

b.

Breadth First Search

c.

Topological Sorting

d.

Dijkstra’s Shortest path algorithm

Discuss
Answer: (c).Topological Sorting
Q224.
When the topological sort of a graph is unique?

a.

When there exists a hamiltonian path in the graph

b.

In the presence of multiple nodes with indegree 0

c.

In the presence of single node with indegree 0

d.

None of the mentioned

Discuss
Answer: (a).When there exists a hamiltonian path in the graph
Q225.
What is recurrence for worst case of QuickSort and what is the time complexity in Worst case?

a.

Recurrence is T(n) = T(n-2) + O(n) and time complexity is O(n²)

b.

Recurrence is T(n) = T(n-1) + O(n) and time complexity is O(n²)

c.

Recurrence is T(n) = 2T(n/2) + O(n) and time complexity is O(nLogn)

d.

Recurrence is T(n) = T(n/10) + T(9n/10) + O(n) and time complexity is O(nLogn)

Discuss
Answer: (b).Recurrence is T(n) = T(n-1) + O(n) and time complexity is O(n²)
Q226.
Which of the following is not a stable sorting algorithm?

a.

Insertion sort

b.

Selection sort

c.

Bubble sort

d.

Merge sort

Discuss
Answer: (b).Selection sort
Q227.
If the number of records to be sorted is small, then sorting can be efficient.

a.

Merge

b.

Heap

c.

Selection

d.

Bubble

Discuss
Answer: (c).Selection
Q228.
Suppose we have a O(n) time algorithm that finds median of an unsorted array. Now consider a QuickSort implementation where we first find median using the above algorithm, then use median as pivot. What will be the worst case time complexity of this modified QuickSort.

a.

O(n² Logn)

b.

O(n²)

c.

O(n Logn Logn)

d.

O(nLogn)

Discuss
Answer: (d).O(nLogn)
Q229.
Which of the following is not an in-place sorting algorithm?

a.

Selection sort

b.

Heap sort

c.

Quick sort

d.

Merge sort

Discuss
Answer: (d).Merge sort
Q230.
The complexity of sorting algorithm measures the as a function of the number n of items to be sorter.

a.

average time

b.

running time

c.

average-case complexity

d.

case-complexity

Discuss
Answer: (b).running time
Page 23 of 24

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