Certified Associate Developer for Apache Spark Exam

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Question 175

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

Logical results will be incorrect if inaccurate data is not collected and removed from the Spark job.

Spark jobs will fail or run slowly if inaccurate data is not collected and removed from the Spark job.

Spark jobs will fail or run slowly if memory is not available for new objects to be created.

Spark jobs will produce inaccurate results if there are too many different transformations called before a single action.

Spark jobs will produce inaccurate results if memory is not available for new tasks to run and complete.

Correct Answer: C

Garbage collection in Spark is important because Spark jobs will fail or run slowly if memory is not available for new objects to be created. Garbage collection helps by releasing memory occupied by objects that are no longer in use, thus freeing up space for new objects and ensuring efficient memory management. This process is crucial for maintaining the performance and stability of Spark jobs.

Discussion

f728f7fOption: 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