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DATABRICKS-CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK · Question #159

Which of the following code blocks creates a Python UDF assessPerformanceUDF() using the integer-returning Python function assessPerformance() and applies it to Column customerSatisfaction in DataFram

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Implementing User-Defined Functions (UDFs) in PySpark

Question

Which of the following code blocks creates a Python UDF assessPerformanceUDF() using the integer-returning Python function assessPerformance() and applies it to Column customerSatisfaction in DataFrame storesDF?

Options

  • AassessPerformanceUDF = udf(assessPerformance, IntegerType) storesDF.withColumn("result",
  • BassessPerformanceUDF = udf(assessPerformance, IntegerType()) storesDF.withColumn("result",
  • CassessPerformanceUDF - udf(assessPerformance) storesDF.withColumn("result",
  • DassessPerformanceUDF = udf(assessPerformance) storesDF.withColumn("result",
  • EassessPerformanceUDF = udf(assessPerformance, IntegerType()) storesDF.withColumn("result",

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Topics

#PySpark UDFs#DataFrame Transformations#Spark SQL Data Types#Python for Spark
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