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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.
