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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does an adjacency matrix represent?
💡 Hint: Think about how vertices are arranged in a grid.
Question 2
Easy
What is the role of the visited array in BFS?
💡 Hint: Consider why we don’t want to revisit 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 does BFS stand for?
- Binary First Search
- Breadth First Search
- Normal First Search
💡 Hint: Focus on the term 'breadth' when thinking about exploration.
Question 2
True or False: BFS can be used to find the shortest path in an unweighted graph.
- True
- False
💡 Hint: Consider the meaning of 'shortest path' in this context.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a graph represented as an adjacency list, outline how you would implement BFS in Python, including edge cases.
💡 Hint: Think about how to handle special cases like isolated vertices.
Question 2
Explain how you would modify the BFS algorithm to find the longest path in an unweighted graph.
💡 Hint: Consider the inverse nature of finding longest as opposed to shortest.
Challenge and get performance evaluation