Graph

Graph

University

20 Qs

quiz-placeholder

Similar activities

Round 1- Code Crunch

Round 1- Code Crunch

University

20 Qs

Code Vocabulary

Code Vocabulary

3rd Grade - University

18 Qs

Machine Learning Q1

Machine Learning Q1

University

16 Qs

AI (Artificial Intelligence)

AI (Artificial Intelligence)

University

20 Qs

Data Structures Training Quiz2

Data Structures Training Quiz2

University

15 Qs

POs and BTL

POs and BTL

University

15 Qs

Easy BreezeIII

Easy BreezeIII

University

25 Qs

Introduction to Machine Learning

Introduction to Machine Learning

University - Professional Development

20 Qs

Graph

Graph

Assessment

Quiz

Education

University

Hard

Created by

Jyoti Jadhav

Used 22+ times

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a simple graph, the number of edges is equal to twice the sum of the degrees of the vertices.

True

False

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A connected graph T without any cycles is called .......

Free graph

no cycle graph

non cycle graph

circular graph

3.

FILL IN THE BLANK QUESTION

30 sec • 1 pt

A graph is said to be ....... if every node u in G is adjacent to every other node v in G.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

What would be the DFS traversal of the given Graph?

ABCED

AEDCB

EDCBA

ADECB

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The topological sorting of any DAG can be done in ________ time

cubic

quadratic

linear

logarithmic

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

What sequence would the BFS traversal of the given graph yield?

A F D B C E

C B A F D

A B D C F

A B C D E F

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an advantage of adjacency list representation over adjacency matrix representation of a graph?

In adjacency list representation, space is saved for sparse graphs.

DFS and BSF can be done in O(V + E) time for adjacency list representation. These operations take O(V^2) time in adjacency matrix representation. Here is V and E are number of vertices and edges respectively.

Adding a vertex in adjacency list representation is easier than adjacency matrix representation.

All of the above

Create a free account and access millions of resources

Create resources
Host any resource
Get auto-graded reports
or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?