To obtain three output ports for dog parks and visitor counts, which transformer should you use?

To obtain three output ports for dog parks and visitor counts, which transformer should you use?

• A. AttributeFilter
• B. GeometryFilter
• C. Sampler
• D. TestFilter

Answer: (D)

Splitting data into multiple streams based on conditional checks is what TestFilter is built to do. You can define tests that look at whether a feature represents a dog park and whether its visitor count meets a threshold, and then route those features into distinct outputs. TestFilter typically provides three paths: features that pass the test, features that fail the test, and features where the test data can’t be evaluated (for example, missing or invalid attributes). That three-port behavior is exactly what you need to get three separate output streams for dog parks and visitor counts. Other options don’t fit this purpose as cleanly. AttributeFilter branches based on attribute values but is generally used for simpler true/false splits on a single condition. GeometryFilter separates features by geometry type (point, line, polygon) rather than by attribute-based criteria. Sampler doesn’t create multiple streams based on conditions at all; it reduces the number of features instead of routing them into separate outputs.

Splitting data into multiple streams based on conditional checks is what TestFilter is built to do. You can define tests that look at whether a feature represents a dog park and whether its visitor count meets a threshold, and then route those features into distinct outputs. TestFilter typically provides three paths: features that pass the test, features that fail the test, and features where the test data can’t be evaluated (for example, missing or invalid attributes). That three-port behavior is exactly what you need to get three separate output streams for dog parks and visitor counts.

Other options don’t fit this purpose as cleanly. AttributeFilter branches based on attribute values but is generally used for simpler true/false splits on a single condition. GeometryFilter separates features by geometry type (point, line, polygon) rather than by attribute-based criteria. Sampler doesn’t create multiple streams based on conditions at all; it reduces the number of features instead of routing them into separate outputs.