Understanding Graphs in Data Structures

Understanding Graphs in Data Structures

Assessment

Interactive Video

Mathematics, Computers

10th - 12th Grade

Hard

Created by

Aiden Montgomery

FREE Resource

This video is the second in a series on data structures, focusing on graphs. It covers the basics of graphs, including vertices and edges, and explains the difference between directed and undirected graphs. The video also discusses how graphs can be represented in code using Python and pseudocode, and explores various applications of graphs in fields like navigation and social media. Additionally, it touches on operations that can be performed on graphs and concludes with information about a book that provides further resources on algorithms and data structures.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key difference between graphs and binary trees?

Graphs are always directed.

Graphs can have nodes with multiple edges.

Graphs do not use vertices.

Graphs have nodes with only two edges.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a directed graph, what is true about the edges?

Edges are always weighted.

Edges connect only to the root node.

Edges point in one direction.

Edges have no direction.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an edge value in a graph often referred to as?

Weight

Height

Depth

Width

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which data structure is commonly used to store graphs?

Adjacency List

Binary Tree

Queue

Stack

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a practical application of graphs in computer science?

Sorting algorithms

Mapping road networks

File compression

Memory management

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How are graphs and trees related?

Trees are a type of graph.

Trees have no edges.

Graphs are a type of tree.

Graphs and trees are unrelated.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the concept of abstraction in graph visualization?

Labeling all vertices and edges

Using only necessary details and discarding the rest

Ignoring the connections between vertices

Focusing on the physical appearance of graphs

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