Practice Yarn (yet Another Resource Negotiator) (13.2.2.3) - Big Data Technologies (Hadoop, Spark)

Practice: YARN (Yet Another Resource Negotiator)

Lesson 13.2.2.3Big Data Technologies (Hadoop, Spark)

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9 questions

Flashcard drill
3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does YARN stand for?
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Think about the role it plays in resource management.
Question 2.
What is the primary function of YARN?
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Consider how resources are allocated among multiple jobs.
3Question 3.
What does YARN do?
- Allocates storage
- Manages resources
- Processes data
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Think about its core role in cluster operations.
4Question 4.
True or False: YARN can handle multiple processing models running on the same Hadoop cluster.
- True
- False
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Reflect on the advantage discussed in the session.
Question 5.
Consider a scenario where a Hadoop cluster is running at full capacity, and new job requests are coming in that require additional resources. Discuss how YARN would handle this situation and the potential outcomes.
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Think about how resource allocation can be flexible based on priority.
Question 6.
Analyze the impact of YARN's ability to monitor job progress on troubleshooting and system performance.
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Reflect on the direct benefits of monitoring on system efficiency.

5 more questions in this section. Enroll free to practise them all.