Which of the following code blocks returns a new DataFrame where column division is the first two characters of column division in DataFrame storesDF?

Question

Options

• AstoresDF.withColumn("division", substr(col("division"), 0, 2))
• BstoresDF.withColumn("division", susbtr(col("division"), 1, 2))
• CstoresDF,withColumn("division", col("division").substr(0, 3))
• DstoresDF.withColumn("division", col("division").substr(0, 2))
• EstoresDF.withColumn("division", col("division").substr(l, 2))

• A
  11% (2)
• B
  5% (1)
• E
  84% (16)

Explanation

In PySpark, the Column.substr(startPos, length) method is 1-indexed, meaning position 1 is the first character. To extract the first 2 characters, you use substr(1, 2) - start at position 1, take 2 characters. Answer E uses col('division').substr(l, 2) where the 'l' represents the number 1 (one), making it substr(1, 2), which correctly returns the first two characters. Options A and D use 0 as the start position, which is incorrect (PySpark substr is 1-based). Option B has a typo ('susbtr'). Option C uses a comma instead of a dot before withColumn and starts at position 0 with length 3.

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