Practice Importance Of Dags And Efficiency In Longest Path (25.1.10) - DAGs: Longest Paths

Practice: Importance of DAGs and Efficiency in Longest Path

Lesson 25.1.10DAGs: Longest Paths

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9 questions

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3 cards from this section. Quick, good the night before a test.
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6 questions · about 4 min · pass mark 70%. Hints available.
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3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does 'acyclic' mean in the context of a graph?
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Think about if you could loop back in a graph.
Question 2.
What is the primary use of topological sorting?
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Remember the order of tasks depends on dependencies.
3Question 3.
Which of the following statements about DAGs is true?
- A DAG can have cycles.
- A DAG is a directed graph with no cycles.
- A DAG can have multiple paths.
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Recall the term DAG itself.
4Question 4.
True or False: Topological sorting can result in multiple valid orderings.
- True
- False
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Think about scenarios with multiple paths.
Question 5.
Given a complex DAG of tasks, determine the longest path while justifying each step taken in your reasoning.
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Trace the paths paying close attention to resource requirements.
Question 6.
Create a real-life scenario using DAG concepts to illustrate task management. What challenges arise, and how would you solve them using a longest path calculation?
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Draw connections between tasks and their prerequisites to showcase interactions.

5 more questions in this section. Enroll free to practise them all.