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Welcome to the Graphs MCQs Page

Dive deep into the fascinating world of Graphs with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Graphs, a crucial aspect of Data Structures and Algorithms. In this section, you will encounter a diverse range of MCQs that cover various aspects of Graphs, 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 Graphs. 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 Graphs. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Graphs MCQs | Page 16 of 17

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Q151.
The Depth First Search traversal of a graph will result into?

a.

Linked List

b.

Tree

c.

Graph with back edges

d.

None of the mentioned

Discuss
Answer: (b).Tree
Q152.
A person wants to visit some places. He starts from a vertex and then wants to visit every vertex till it finishes from one vertex, backtracks and then explore other vertex from same vertex. What algorithm he should use?

a.

Depth First Search

b.

Breadth First Search

c.

Trim’s algorithm

d.

None of the mentioned

Discuss
Answer: (a).Depth First Search
Q153.
What can be the applications of Depth First Search?

a.

For generating topological sort of a graph

b.

For generating Strongly Connected Components of a directed graph

c.

Detecting cycles in the graph

d.

All of the mentioned

Discuss
Answer: (d).All of the mentioned
Q154.
When the Depth First Search of a graph is unique?

a.

When the graph is a Binary Tree

b.

When the graph is a Linked List

c.

When the graph is a n-ary Tree

d.

None of the mentioned

Discuss
Answer: (b).When the graph is a Linked List
Q155.
Regarding implementation of Depth First Search using stacks, what is the maximum distance between two nodes present in the stack? (considering each edge length 1)

a.

Can be anything

b.

0

c.

At most 1

d.

Insufficient Information

Discuss
Answer: (a).Can be anything
Q156.
In Depth First Search, how many times a node is visited?

a.

Once

b.

Twice

c.

Equivalent to number of indegree of the node

d.

None of the mentioned

Discuss
Answer: (c).Equivalent to number of indegree of the node
Q157.
Breadth First Search is equivalent to which of the traversal in the Binary Trees?

a.

Pre-order Traversal

b.

Post-order Traversal

c.

Level-order Traversal

d.

In-order Traversal

Discuss
Answer: (c).Level-order Traversal
Q158.
Time Complexity of Breadth First Search is? (V – number of vertices, E – number of edges)

a.

O(V + E)

b.

O(V)

c.

O(E)

d.

None of the mentioned

Discuss
Answer: (a).O(V + E)
Q159.
The Breadth First Search traversal of a graph will result into?

a.

Linked List

b.

Tree

c.

Graph with back edges

d.

All of the mentioned

Discuss
Answer: (b).Tree
Q160.
A person wants to visit some places. He starts from a vertex and then wants to visit every place connected to this vertex and so on. What algorithm he should use?

a.

Depth First Search

b.

Breadth First Search

c.

Trim’s algorithm

d.

None of the mentioned

Discuss
Answer: (b).Breadth First Search
Page 16 of 17

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