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In a big data application, you need to process a Spark DataFrame by applying a function that includes complex pandas operations. What is the most efficient way to integrate these operations into the Spark processing pipeline?
A
Convert the entire Spark DataFrame to a pandas DataFrame before applying the operations.
B
Use a Scalar Pandas UDF to apply the pandas operations row-wise in Spark.
C
Use a Grouped Map Pandas UDF to apply the pandas operations group-wise in Spark.
D
Use an Iterator Pandas UDF to apply the pandas operations in chunks.
