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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What are the two common ways to represent a graph?
💡 Hint: Think about how you can organize the vertices and edges.
Question 2
Easy
What does BFS stand for?
💡 Hint: Consider the order in which you explore nodes.
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 data structure is NOT typically used in BFS?
💡 Hint: Think about how the nodes are accessed.
Question 2
True or False: An adjacency list is more efficient than an adjacency matrix for sparse graphs.
💡 Hint: Consider memory usage.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Construct a graph with 10 vertices and 15 edges. Run BFS from vertex 1. Document each step detailing which vertices are visited and in what order.
💡 Hint: Use a diagram to track your visited nodes and the queue.
Question 2
If a graph represents a social network, explain how BFS could help find the shortest connection path between two people.
💡 Hint: Think about how relationships connect people within the context of the graph.
Challenge and get performance evaluation