Databricks Certified Associate Developer for Apache Spark 3.0 Exam Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Question # 49 Topic 5 Discussion

Databricks Certified Associate Developer for Apache Spark 3.0 Exam Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Question # 49 Topic 5 Discussion

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Exam Topic 5 Question 49 Discussion:
Question #: 49
Topic #: 5

Which of the following code blocks applies the boolean-returning Python function evaluateTestSuccess to column storeId of DataFrame transactionsDf as a user-defined function?


A.

1.from pyspark.sql import types as T

2.evaluateTestSuccessUDF = udf(evaluateTestSuccess, T.BooleanType())

3.transactionsDf.withColumn("result", evaluateTestSuccessUDF(col("storeId")))


B.

1.evaluateTestSuccessUDF = udf(evaluateTestSuccess)

2.transactionsDf.withColumn("result", evaluateTestSuccessUDF(storeId))


C.

1.from pyspark.sql import types as T

2.evaluateTestSuccessUDF = udf(evaluateTestSuccess, T.IntegerType())

3.transactionsDf.withColumn("result", evaluateTestSuccess(col("storeId")))


D.

1.evaluateTestSuccessUDF = udf(evaluateTestSuccess)

2.transactionsDf.withColumn("result", evaluateTestSuccessUDF(col("storeId")))


E.

1.from pyspark.sql import types as T

2.evaluateTestSuccessUDF = udf(evaluateTestSuccess, T.BooleanType())

3.transactionsDf.withColumn("result", evaluateTestSuccess(col("storeId")))


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