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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is an adjacency matrix?
💡 Hint: Think about how to represent data in a grid.
Question 2
Easy
What does BFS stand for?
💡 Hint: Consider the order in which it explores.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary use of an adjacency matrix?
💡 Hint: Think about its layout and what it shows.
Question 2
BFS stands for Back-First Search. True or False?
💡 Hint: Recall the meaning of breadth in this context.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Given a graph with 8 vertices and a sparse representation using an adjacency list, implement BFS and track the path taken.
💡 Hint: Think about how each node connects and the queue's order.
Question 2
Explain the significance of using different graph representations for BFS performance based on graph density.
💡 Hint: Consider how many edges exist in relation to vertices.
Challenge and get performance evaluation