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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 178 discussion

Actual exam question from Databricks's Certified Associate Developer for Apache Spark
Question #: 178
Topic #: 1
[All Certified Associate Developer for Apache Spark Questions]

Which of the following describes why garbage collection in Spark is important?

  • A. Logical results will be incorrect if inaccurate data is not collected and removed from the Spark job.
  • B. Spark jobs will fail or run slowly if inaccurate data is not collected and removed from the Spark job.
  • C. Spark jobs will fail or run slowly if memory is not available for new objects to be created.
  • D. Spark jobs will produce inaccurate results if there are too many different transformations called before a single action.
  • E. Spark jobs will produce inaccurate results if memory is not available for new tasks to run and complete.
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Suggested Answer: C 🗳️
by f728f7f at July 9, 2024, 7:51 p.m.

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f728f7f
4 months, 2 weeks ago
Selected Answer: C
C is correct. Garbage in JVM is about releasing memory of objects that are no longer used so that new objects can be created
upvoted 1 times
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