Which of the following operations can be used to rename and replace an existing column in a DataFrame?

Question

Options

• ADataFrame.renamedColumn()
• BDataFrame.withColumnRenamed()
• CDataFrame.wlthColumn()
• Dcol()
• EDataFrame.newColumn()

• A
  2% (1)
• B
  88% (51)
• C
  3% (2)
• E
  7% (4)

Explanation

DataFrame.withColumnRenamed(existingName, newName) is the correct PySpark method to rename an existing column. It returns a new DataFrame with the specified column renamed. Option A (renamedColumn()) does not exist in the PySpark API. Option C (wlthColumn()) is a typo and does not exist. Option D (col()) is a function used to create a Column object reference - it does not operate on DataFrames or rename columns. Option E (newColumn()) does not exist. Note: withColumn() can replace a column's content but requires you to specify the same column name; withColumnRenamed() is specifically designed to rename columns.

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