Practice Speculative Execution - 1.5.5 | Week 8: Cloud Applications: MapReduce, Spark, and Apache Kafka | Distributed and Cloud Systems Micro Specialization
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1.5.5 - Speculative Execution

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is Speculative Execution in MapReduce?

πŸ’‘ Hint: Think about how it helps balance the performance across slow tasks.

Question 2

Easy

What does the ApplicationMaster do related to Speculative Execution?

πŸ’‘ Hint: Recall its role in monitoring task progress.

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 purpose of Speculative Execution in MapReduce?

  • To increase data replication
  • To decrease job completion time
  • To reduce network traffic

πŸ’‘ Hint: Consider why we'd want to address slower tasks.

Question 2

True or False: Speculative Execution creates multiple copies of all tasks in a MapReduce job.

  • True
  • False

πŸ’‘ Hint: Focus on the 'straggler' concept.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a scenario where Speculative Execution can improve completion time. What factors would you consider in such a design?

πŸ’‘ Hint: Evaluate task distribution and node efficiency.

Question 2

Critically analyze the use of Speculative Execution in a cloud-based environment. What implications does it have for resource management?

πŸ’‘ Hint: Think about both performance benefits and cost implications.

Challenge and get performance evaluation