Practice Fault-tolerant (3.1.6) - Cloud Applications: MapReduce, Spark, and Apache Kafka
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Fault-Tolerant

Practice - Fault-Tolerant

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the primary role of task re-execution in MapReduce?

💡 Hint: Think about job reliability.

Question 2 Easy

Why is intermediate data durability important?

💡 Hint: Consider task dependencies.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What mechanism is primarily used for recovering from task failures in MapReduce?

Intermediate Data Durability
Task Re-execution
Speculative Execution

💡 Hint: Consider how failed tasks are handled.

Question 2

True or False: Intermediate data is lost if a TaskTracker fails.

True
False

💡 Hint: Think about failure consequences.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Discuss how the lack of the heartbeat mechanism would affect a MapReduce job in a distributed environment.

💡 Hint: Think about monitoring and feedback loops in distributed systems.

Challenge 2 Hard

Imagine a scenario where intermediate data durability is compromised. What strategies could a developer implement to mitigate loss?

💡 Hint: Consider backup techniques and systems.

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Reference links

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