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Exam Certified Associate Developer for Apache Spark All Questions

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Exam Certified Associate Developer for Apache Spark topic 1 question 184 discussion

Actual exam question from Databricks's Certified Associate Developer for Apache Spark
Question #: 184
Topic #: 1
[All Certified Associate Developer for Apache Spark Questions]

Which of the following cluster configurations will fail to ensure completion of a Spark application in light of a worker node failure?



Note: each configuration has roughly the same compute power using 100GB of RAM and 200 cores.

  • A. Scenario #5
  • B. Scenario #4
  • C. Scenario #6
  • D. Scenario #1
  • E. They should all ensure completion because worker nodes are fault tolerant
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Suggested Answer: D 🗳️
by Oks_An at Sept. 19, 2024, 2:19 p.m.

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Oks_An
2 months ago
Selected Answer: D
scenario #1 uses a configuration with only 1 executor. If the worker node running that executor fails, the entire application will fail because there are no other executors available to continue processing the tasks. Spark needs redundancy across multiple worker nodes or executors to tolerate node failures. Since this configuration has only one executor, it lacks fault tolerance.
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