Which of the following code blocks returns a new DataFrame with a new column customerSatisfactionAbs that is the absolute value of column customerSatisfaction in DataFrame storesDF? Note that column…

Question

Options

• AstoresDF.withColumn("customerSatisfactionAbs", abs(col("customerSatisfaction")))
• BstoresDF.withColumnRenamed("customerSatisfactionAbs", abs(col("customerSatisfaction")))
• CstoresDF.withColumn(col("customerSatisfactionAbs", abs(col("customerSatisfaction")))
• DstoresDF.withColumn("customerSatisfactionAbs", abs(col(customerSatisfaction)))
• EstoresDF.withColumn("customerSatisfactionAbs", abs("customerSatisfaction"))

• A
  91% (20)
• B
  5% (1)
• C
  5% (1)

Explanation

The correct syntax for withColumn is: DataFrame.withColumn(colName: String, col: Column). Option A correctly passes the new column name as a string ("customerSatisfactionAbs") and a Column expression (abs(col("customerSatisfaction"))). Option B uses withColumnRenamed, which renames an existing column - it does not add a new one. Option C has a syntax error (missing closing parenthesis for col()). Option D passes customerSatisfaction without quotes, treating it as a variable rather than a column name string. Option E passes a plain string to abs() instead of a Column object - abs() requires a Column, not a String.

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