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Explain how the InternalFrame in Pandas API on Spark affects the memory usage and performance of data processing tasks. Provide a detailed example to illustrate the impact.
A
The InternalFrame in Pandas API on Spark optimizes memory usage and improves performance by leveraging distributed processing.
B
The InternalFrame in Pandas API on Spark increases memory usage and can lead to slower performance due to additional overhead.
C
The InternalFrame in Pandas API on Spark has no impact on memory usage and performance, as it is designed to mimic native Spark DataFrames.
D
The InternalFrame in Pandas API on Spark reduces memory usage and improves performance by eliminating the need for distributed processing.
