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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define an adjacency matrix.
💡 Hint: Think about how we can visualize connections between vertices.
Question 2
Easy
What does BFS stand for?
💡 Hint: Focus on how the algorithm explores vertices.
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 indicates the presence of an edge in an adjacency matrix?
- 1
- 0
- Edges only
💡 Hint: Think about how we mark connections in the matrix.
Question 2
True or False: Breadth-First Search can be used to find the longest path in a graph.
- True
- False
💡 Hint: Remember what BFS accomplishes regarding paths.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a complex graph with nodes and edges listed, create an adjacency matrix representation of this graph.
💡 Hint: Carefully map each node's edges to the matrix.
Question 2
Implement BFS for a given adjacency matrix in pseudocode and explain how you would track the path taken.
💡 Hint: Focus on how you enqueue nodes and mark their visited status.
Challenge and get performance evaluation