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Answer: The Spark job will likely not run as efficiently as possible.
When there are more slots than tasks in a Spark job, it means that the cluster's parallelism capacity is not fully utilized, leading to inefficiency. The Spark job will not fail, executors will not shut down, tasks will not be automatically generated, and the job will not use just one single slot. The correct answer is A, as it accurately describes the situation where the job does not run as efficiently as possible due to idle slots.
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What happens when the number of available slots exceeds the number of tasks in a Spark application?
A
The Spark job will likely not run as efficiently as possible.
B
The Spark application will fail – there must be at least as many tasks as there are slots.
C
Some executors will shut down and allocate all slots on larger executors first.
D
More tasks will be automatically generated to ensure all slots are being used.
E
The Spark job will use just one single slot to perform all tasks.
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