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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What characterizes a Directed Acyclic Graph (DAG)?
💡 Hint: Think about the definition of a cycle.
Question 2
Easy
What is meant by topological sorting?
💡 Hint: Consider how you would organize tasks with dependencies.
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 a Directed Acyclic Graph?
💡 Hint: Consider the definition of a cycle in any graph.
Question 2
True or False: A topological sort can be applied to any directed graph.
💡 Hint: Remember the condition of acyclic property.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Given a DAG representing a project management scenario, with tasks and their dependencies, derive the longest path and the minimum time required to complete all tasks if task durations are known.
💡 Hint: Break down the problem into manageable parts by depicting the graph first.
Question 2
Design an algorithm that efficiently computes the longest path in a graph given its adjacency list. Can you implement this in Python?
💡 Hint: Recall the steps we discussed regarding topological sorting and path calculation.
Challenge and get performance evaluation