Practice Graph Traversal Algorithms - 4.4 | 4. Model and Work with Graph Data Structures | Data Structure
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4.4 - Graph Traversal Algorithms

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

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.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

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.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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.

Challenge and get performance evaluation