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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What happens if a Map task fails during execution?
💡 Hint: Think about the role of the ApplicationMaster!
Question 2
Easy
Why is intermediate data durability important?
💡 Hint: Consider what happens to data when tasks fail.
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 happens to a Map task that fails during execution?
- It is removed from the job queue
- It causes the job to fail
- It is re-scheduled on another node
💡 Hint: Recall the role of the ApplicationMaster!
Question 2
True or False: If a node fails, the other tasks on it are automatically killed.
- True
- False
💡 Hint: Think about how fault tolerance aids task recovery.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are tasked with designing a distributed processing system. Explain how you would incorporate fault tolerance mechanisms similar to MapReduce.
💡 Hint: Consider how existing systems deal with failures.
Question 2
Evaluate the trade-offs of implementing a robust fault tolerance system over a simpler, less reliable system for a big data project.
💡 Hint: Think about the long-term benefits versus initial implementation costs.
Challenge and get performance evaluation