Which transformer is not a common filtering transformer?

Which transformer is not a common filtering transformer?

• A. Tester
• B. AttributeCreator
• C. TestFilter
• D. GeometryFilter

Answer: (B)

Filtering transformers decide whether a feature continues downstream based on tests or spatial criteria. The three that are clearly used for filtering either test attributes or geometry and then route or drop features accordingly: a tester evaluates a condition on an attribute value, a TestFilter applies one or more tests to decide if a feature passes, and a GeometryFilter filters features by geometry-related criteria (type, bounding box, spatial relationships, etc.). The one that is not a filtering transformer is the AttributeCreator. It’s used to create or set attribute values, which is data manipulation rather than deciding whether a feature should pass or be discarded. It might prepare data for filtering later, but on its own it doesn’t filter features.

Filtering transformers decide whether a feature continues downstream based on tests or spatial criteria. The three that are clearly used for filtering either test attributes or geometry and then route or drop features accordingly: a tester evaluates a condition on an attribute value, a TestFilter applies one or more tests to decide if a feature passes, and a GeometryFilter filters features by geometry-related criteria (type, bounding box, spatial relationships, etc.).

The one that is not a filtering transformer is the AttributeCreator. It’s used to create or set attribute values, which is data manipulation rather than deciding whether a feature should pass or be discarded. It might prepare data for filtering later, but on its own it doesn’t filter features.