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In the context of Pandas UDFs, explain the concept of data locality and its importance when working with distributed datasets in Spark. Provide an example of how you would optimize data locality in a Pandas UDF.
A
Data locality refers to the physical location of data in relation to the processing tasks that operate on it.
B
Data locality refers to the logical organization of data within a Pandas DataFrame.
C
Data locality refers to the data types and formats used to store data in a Pandas DataFrame.
D
Data locality is not a relevant concept when working with Pandas UDFs in Spark.
