Practice Monitoring The Progress Of Tasks (1.4.2.2.3) - Cloud Applications: MapReduce, Spark, and Apache Kafka
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Monitoring the progress of tasks

Practice - Monitoring the progress of tasks

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the role of the ApplicationMaster in Hadoop?

💡 Hint: Think about the person who oversees a project completion.

Question 2 Easy

Define data locality.

💡 Hint: Consider 'local' connections.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What role does the ApplicationMaster play in Hadoop?

Manages nodes only
Monitors task progress
Executes tasks

💡 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

💡 Hint: Think about where 'local' things occur.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

💡 Hint: Consider the benefits of minimizing travel for tasks.

Challenge 2 Hard

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

💡 Hint: Consider what allows a system to 'bounce back' from setbacks.

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