Explanation:
The question requires renaming columns 'division' to 'state' and 'managerName' to 'managerFullName', which implies the original columns should be replaced. Option E uses withColumnRenamed correctly to rename both columns. Other options either use incorrect syntax (A, C), create new columns without removing the originals (B), or reverse the renaming logic (D).
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Which of the following code blocks returns a new DataFrame where column division from DataFrame storesDF has been renamed to state and column managerName from DataFrame storesDF has been renamed to managerFullName?
A
(storesDF.withColumnRenamed(["division", "state"], ["managerName", "managerFullName"])
B
(storesDF.withColumn("state", col("division")) .withColumn("managerFullName", col("managerName")))
C
(storesDF.withColumn("state", "division") .withColumn("managerFullName", "managerName"))
D
(storesDF.withColumnRenamed("state", "division") .withColumnRenamed("managerFullName", "managerName"))
E
(storesDF.withColumnRenamed("division", "state") .withColumnRenamed("managerName", "managerFullName"))