Practice Graph Traversal Algorithms (4.4) - Model and Work with Graph Data Structures
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Graph Traversal Algorithms

Practice - Graph Traversal Algorithms

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does DFS stand for?

💡 Hint: Think about exploring paths in a graph deeply.

Question 2 Easy

What does BFS stand for?

💡 Hint: Consider how the search broadens out.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does DFS explore before backtracking?

All neighbors
As far down one path as possible
Only the deepest nodes

💡 Hint: Remember 'Dive Deep First.'

Question 2

Is BFS used to find the shortest path in weighted graphs?

True
False

💡 Hint: Think about what BFS is primarily used for.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a connected undirected graph, write a pseudocode that performs a DFS and detects a cycle. Explain how it works.

💡 Hint: Track nodes and backtrack properly.

Challenge 2 Hard

Design a program using BFS to find the shortest path from one node to another in an unweighted graph. Provide the logic.

💡 Hint: Always keep track of paths when traversing.

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Reference links

Supplementary resources to enhance your learning experience.