Answer: (storesDF.withColumn("storeValueCategory", split(col("storeCategory"), "_")[0]) .withColumn("storeSizeCategory", split(col("storeCategory"), "_")[1]))

Option C is correct because it properly uses the split function with col() to reference the column, and correctly accesses array elements [0] and [1] to extract the first and second parts of the split string. The community discussion shows consensus for C, with the highest upvoted comments supporting it. While some comments mention D might work in newer Spark versions (3.5+), the exam is based on Spark 3.0 where split requires column references using col(). Option A and E incorrectly use array indices [1] and [2] which would skip the first element. Option B incorrectly uses col().split() syntax instead of split(col()). Option D uses split with string literals instead of column references, which is incorrect for Spark 3.0.

Author: LeetQuiz Editorial Team