Certified Associate Developer for Apache Spark Exam

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Question 147

Which of the following describes slots?

Slots are the most coarse level of execution in the Spark execution hierarchy.

Slots are resource threads that can be used for parallelization within a Spark application.

Slots are resources that are used to run multiple Spark applications at once on a single cluster.

Slots are the most granular level of execution in the Spark execution hierarchy.

Slots are unique segments of data from a DataFrame that are split up by row.

Correct Answer: B

Slots are resource threads that can be used for parallelization within a Spark application. They represent the smallest unit of work for the scheduler, allowing multiple tasks to run in parallel and improving the performance of Spark jobs.

Discussion

Sowwy1Option: B

B. Slots are resource threads that can be used for parallelization within a Spark application.