To remove unwanted attributes from a data set in RapidMiner, use the _______ operator.

• A. Select Attributes
• B. Filter Examples
• C. Transform Data
• D. Sort

Answer: (A)

Handling which features to keep is done by selecting a subset of attributes. In RapidMiner, that’s the Select Attributes operator. It lets you specify exactly which attributes should pass through, so the unwanted ones are dropped from the dataset as you move data forward. For example, if you want only certain attributes to remain, you configure the operator to include those, effectively removing the rest. Other operators serve different purposes: filtering examples works on rows (instances), transforming data changes values or creates new ones but doesn’t drop columns by itself, and sorting rearranges the order of rows. So the Select Attributes operator is the right tool for removing unwanted attributes.