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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define a Directed Acyclic Graph (DAG).
💡 Hint: Focus on the terms 'directed' and 'acyclic'.
Question 2
Easy
What does topological sorting help us achieve?
💡 Hint: Think about ordering tasks based on requirements.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
Which of the following best defines a Directed Acyclic Graph (DAG)?
💡 Hint: Focus on what 'acyclic' implies.
Question 2
True or False: Topological sorting can be applied to any type of graph.
💡 Hint: Consider the implications of cycles.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Construct a DAG for a project consisting of six tasks where specific tasks cannot start until others are finished. Identify the longest path.
💡 Hint: Visualize the dependency flow and compute paths straightforwardly.
Question 2
Explain in depth how the complexity of finding the longest path changes in DAGs vs. arbitrary graphs.
💡 Hint: Refer back to algorithms and their computational limits.
Challenge and get performance evaluation