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How can you use UDFs efficiently within PySpark SQL queries?
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Register the UDF using `spark.udf.register()` and call it in SQL statements
Use `.withColumn()` exclusively for UDFs
Use only `F.udf()` inside SQL queries
Convert all UDFs to Pandas functions
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