Practice Failure Detection - 3.4.2.5 | Week 8: Cloud Applications: MapReduce, Spark, and Apache Kafka | Distributed and Cloud Systems Micro Specialization
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3.4.2.5 - Failure Detection

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is task re-execution in MapReduce?

πŸ’‘ Hint: Think about how MapReduce handles failures.

Question 2

Easy

What does heartbeating monitor in a MapReduce system?

πŸ’‘ Hint: Related to communication between nodes.

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 is the main function of task re-execution?

  • To rerun failed tasks
  • To cancel tasks
  • To speed up processing

πŸ’‘ Hint: Think about how failures are managed in MapReduce.

Question 2

True or False: Speculative execution reduces the resource usage in a MapReduce job.

  • True
  • False

πŸ’‘ Hint: Consider the process of running tasks simultaneously.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Analyze a situation in which multiple Map tasks fail at the same time. Discuss how the fault tolerance mechanisms in MapReduce would respond.

πŸ’‘ Hint: Think about how multiple failures can impact a cluster and what the system can do.

Question 2

Evaluate the advantages and pitfalls of using speculative execution in highly variable workload environments.

πŸ’‘ Hint: Consider scenarios where resources are limited vs. abundant.

Challenge and get performance evaluation