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DATABRICKS-CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK · Question #36

DATABRICKS-CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK Question #36: Real Exam Question with Answer & Explanation

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Spark DataFrame Transformations

Question

The code block shown below contains an error. The code block is intended to return a new DataFrame that is the result of a cross join between DataFrame storesDF and DataFrame employeesDF. Identify the error. Code block: storesDF.join(employeesDF, "cross")

Options

  • AA cross join is not implemented by the DataFrame.join() operations - the standalone CrossJoin()
  • BThere is no direct cross join in Spark, but it can be implemented by performing an outer join on all
  • CA cross join is not implemented by the DataFrame.join()operation - the
  • DThere is no key column specified - the key column "storeId" should be the second argument.
  • EA cross join is not implemented by the DataFrame.join() operations - the standalone join()

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Topics

#Spark DataFrame#Joins#Cross Join#Syntax
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