The task requires transforming the productCategories column so that each element in the array becomes a separate row, effectively increasing the number of rows in the DataFrame. The correct approach involves using the explode function on the productCategories column. This is achieved by first selecting the column with col, then applying explode to it, and finally using withColumn to replace the original column with the exploded values. Option E correctly follows this sequence: withColumn is used to create or replace the column, explode is the function applied to transform the array into rows, and col is used to reference the productCategories column. This results in a DataFrame where each row contains a single word from the original arrays in the productCategories column.