Graph data structure

Graph data structure

Professional Development

20 Qs

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Graph data structure

Graph data structure

Assessment

Quiz

Professional Development

Professional Development

Hard

Created by

Pankaj Kunekar

Used 4+ 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

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