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What is the difference between df.

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What is the difference between df.cache() and df.persist() in Spark DataFrame?

A.

Both cache() and persist() can be used to set the default storage level (MEMORY_AND_DISK_SER)

B.

Both functions perform the same operation. The persist() function provides improved performance as its default storage level is DISK_ONLY.

C.

persist() - Persists the DataFrame with the default storage level (MEMORY_AND_DISK_SER) and cache() - Can be used to set different storage levels to persist the contents of the DataFrame.

D.

cache() - Persists the DataFrame with the default storage level (MEMORY_AND_DISK) and persist() - Can be used to set different storage levels to persist the contents of the DataFrame

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