Explanation:
The question requires renaming columns 'division' to 'state' and 'managerName' to 'managerFullName' in the DataFrame. The correct method is withColumnRenamed, which takes the existing column name and the new name. Option A chains two withColumnRenamed calls to achieve both renames. Options B and C use withColumn, which creates new columns instead of renaming existing ones. Option D uses invalid syntax for withColumnRenamed, which does not accept sequences. Option E incorrectly reverses the renaming order.
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Which of the following code blocks returns a new DataFrame where:
division from DataFrame storesDF is replaced and renamed to statemanagerName from DataFrame storesDF is replaced and renamed to managerFullName?A
storesDF.withColumnRenamed("division", "state") .withColumnRenamed("managerName", "managerFullName")
B
storesDF.withColumn("state", "division") .withColumn("managerFullName", "managerName")
C
storesDF.withColumn("state", col("division")) .withColumn("managerFullName", col("managerName"))
D
storesDF.withColumnRenamed(Seq("division", "state"), Seq("managerName", "managerFullName"))
E
storesDF.withColumnRenamed("state", "division") .withColumnRenamed("managerFullName", "managerName")
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