A data engineer is working on the DataFrame:(Referring to the table image: it has columnsId,Name,count,...

Comprehensive and Detailed Explanation From Exact Extract:

To extract unique values from a column and sort them alphabetically:

distinct()is required to remove duplicate values.

orderBy()is needed to sort the results alphabetically (ascending by default).

Correct code:

df.select("Name").distinct().orderBy(df["Name"])

This is directly aligned with standard DataFrame API usage in PySpark, as documented in the official Databricks Spark APIs. Option A is incorrect because it may not remove duplicates. Option C omits sorting. Option D sorts in descending order, which doesn't meet the requirement for alphabetical (ascending) order.