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A Spark engineer is troubleshooting a Spark application that has been encountering out-of-memory errors during...

A Spark engineer is troubleshooting a Spark application that has been encountering out-of-memory errors during execution. By reviewing the Spark driver logs, the engineer notices multiple "GC overhead limit exceeded" messages.

Which action should the engineer take to resolve this issue?

A.

Optimize the data processing logic by repartitioning the DataFrame.

B.

Modify the Spark configuration to disable garbage collection

C.

Increase the memory allocated to the Spark Driver.

D.

Cache large DataFrames to persist them in memory.

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