To create a DataFrame with a subset of columns specified by name, the correct operations are:

1. select(): This method is used to select specific columns by name to include in the new DataFrame.
2. drop(): This method is used to exclude specific columns by name, resulting in a new DataFrame with the remaining columns.

• A (subset()): Incorrect, as there is no such method in Spark.
• B (select()): Correct, as it allows selecting columns by name.
• C (selectColumn()): Incorrect, as this is not a valid method in Spark.
• D (filter()): Incorrect, as it is used for filtering rows, not selecting columns.
• E (drop()): Correct, as it allows excluding columns by name, effectively creating a subset of the remaining columns.