Practice Monitoring the progress of tasks - 1.4.2.2.3 | Week 8: Cloud Applications: MapReduce, Spark, and Apache Kafka | Distributed and Cloud Systems Micro Specialization
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1.4.2.2.3 - Monitoring the progress of tasks

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the role of the ApplicationMaster in Hadoop?

πŸ’‘ Hint: Think about the person who oversees a project completion.

Question 2

Easy

Define data locality.

πŸ’‘ Hint: Consider 'local' connections.

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 role does the ApplicationMaster play in Hadoop?

  • Manages nodes only
  • Monitors task progress
  • Executes tasks

πŸ’‘ Hint: Consider who holds the responsibility.

Question 2

True or False: Data locality refers to executing tasks away from where the data resides.

  • True
  • False

πŸ’‘ Hint: Think about where 'local' things occur.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You are tasked with optimizing a MapReduce job that processes petabytes of data. How would you utilize data locality to enhance performance? Discuss the steps you would take.

πŸ’‘ Hint: Consider the benefits of minimizing travel for tasks.

Question 2

Critically evaluate the significance of the ApplicationMaster in the context of fault tolerance. What features must be emphasized to ensure continuous job operation?

πŸ’‘ Hint: Consider what allows a system to 'bounce back' from setbacks.

Challenge and get performance evaluation