Explanation:
The drop() method is used to remove duplicate columns from a DataFrame after an inner join. Here's why the other options are not suitable:
drop_duplicates() and dropDuplicates() are used for removing duplicate rows, not columns.dropColumns() and dropDuplicateColumns() are not valid methods in Spark.For more details, refer to the Spark documentation on the drop() method.
After performing an inner join between two DataFrames, which method is appropriate for removing duplicate columns from the resulting DataFrame?
A
drop_duplicates()
B
drop()
C
dropColumns()
D
dropDuplicateColumns()
E
dropDuplicates()
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