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Developing Code for Data Processing using Python and SQL
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Question 2 of 44

What is the primary performance advantage of using a pandas UDF (vectorized UDF) over a standard Python UDF in PySpark?

APandas UDFs can call external APIs, whereas standard Python UDFs cannot
BPandas UDFs use Apache Arrow for batch serialization, significantly reducing Python-JVM serialization overhead
CPandas UDFs are automatically compiled to JVM bytecode, eliminating the Python interpreter overhead
DPandas UDFs can accept and return multiple columns directly without using StructType

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