Graphs

Graphs

Assessment

Interactive Video

Information Technology (IT), Architecture, Business

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial introduces graphs as a crucial data structure, explaining their components, types, and real-world applications. It compares graphs with trees, highlighting the differences in structure and use cases. The tutorial also covers various types of graphs, such as directed, undirected, weighted, and cyclic, and discusses their importance in fields like social media and ecommerce.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key difference between trees and graphs?

Trees are a type of graph with a hierarchical structure.

Graphs can have multiple roots, trees have only one.

Graphs have nodes and edges, trees do not.

Trees have cycles, graphs do not.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In an undirected graph, how is the connection between two nodes represented?

As a weighted path.

As a hierarchical link.

As a two-way street.

As a one-way street.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of graph is used to represent one-way relationships?

Undirected graph

Unweighted graph

Directed graph

Weighted graph

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do social media platforms use graphs?

To calculate user engagement

To suggest friends and content

To create user profiles

To store user data

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a common use of weighted graphs in streaming services?

To store user data

To manage server loads

To suggest similar content

To calculate subscription fees

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an adjacency list used for in graph storage?

To store the weight of edges

To list all nodes in the graph

To represent connections between nodes

To calculate the shortest path

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which graph storage method is least popular due to its complexity?

Adjacency matrix

Edge list

Adjacency list

Node list

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