If you want to create multiple layers or tables in your output dataset, which type of fanout should you use?

If you want to create multiple layers or tables in your output dataset, which type of fanout should you use?

• A. Canvas fanout
• B. Dataset fanout
• C. Data type fanout
• D. Feature type fanout

Answer: (D)

Create multiple layers or tables by fanout that uses feature type. In FME, a feature type defines the name of a layer or table in the destination dataset. When you apply feature type fanout, features are routed into separate output streams based on their feature type, so each type ends up as its own layer or table within the same file (for example, Buildings, Roads, and Water each become their own layer inside a GeoPackage or Geodatabase). This is exactly what you need when your goal is to produce multiple layers in one output dataset. Other fanout options route features differently—canvas fanout splits into different branches, dataset fanout creates separate datasets, and data type fanout groups by data type—none of which achieve multiple layers within a single dataset in the same way.

Create multiple layers or tables by fanout that uses feature type. In FME, a feature type defines the name of a layer or table in the destination dataset. When you apply feature type fanout, features are routed into separate output streams based on their feature type, so each type ends up as its own layer or table within the same file (for example, Buildings, Roads, and Water each become their own layer inside a GeoPackage or Geodatabase). This is exactly what you need when your goal is to produce multiple layers in one output dataset. Other fanout options route features differently—canvas fanout splits into different branches, dataset fanout creates separate datasets, and data type fanout groups by data type—none of which achieve multiple layers within a single dataset in the same way.