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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does BFS stand for?
💡 Hint: Remember the order of exploration!
Question 2
Easy
How is a graph represented using an adjacency list?
💡 Hint: Consider which representation is more efficient for sparse graphs.
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 is the purpose of BFS in graph theory?
- To find the shortest path
- To discover the graph structure
- To visit all vertices
💡 Hint: Think about the graph traversal method.
Question 2
True or False: BFS can find paths in weighted graphs.
- True
- False
💡 Hint: Recall how BFS measures distance.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
In a graph with 8 vertices and 7 edges, illustrate the BFS traversal starting from vertex 1. What will the queue look like after visiting each vertex?
💡 Hint: Remember to keep track of visited vertices.
Question 2
Given an unweighted graph, how does BFS compare to Dijkstra’s algorithm in terms of finding paths?
💡 Hint: Think of scenarios where weights alter the shortest path.
Challenge and get performance evaluation