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Describe a scenario where you would choose to use Pandas API on Spark over native Spark DataFrames. Provide a detailed example and explain the reasoning behind your choice.
A
When dealing with small datasets where performance is not a critical factor, and the ease of use of Pandas syntax is preferred.
B
When dealing with large datasets where performance is critical, and the distributed processing capabilities of Spark are required.
C
When migrating an existing Pandas codebase to Spark without significant refactoring, leveraging the familiar Pandas API syntax.
D
When performing complex machine learning tasks that require the advanced features of native Spark DataFrames.
