A reader or writer can have multiple feature types.

A reader or writer can have multiple feature types.

• A. False
• B. True
• C. Sometimes
• D. Never

Answer: (B)

In FME, a reader or writer can handle more than one feature type. A feature type is like a layer or class with its own schema. Many sources contain multiple layers or tables, so a reader can be configured to bring in several feature types, each with its own attributes and geometry. On the writing side, a writer can output multiple feature types when the destination format supports it, or when you route different feature types to appropriate outputs. This flexibility reflects how data often combines several kinds of features in one source, and you want to process and output them separately or together as needed. Therefore, the statement is true. For formats that don’t support multiple feature types in a single file, you’d typically use separate writers or datasets, but the capability to have multiple feature types exists in FME.

In FME, a reader or writer can handle more than one feature type. A feature type is like a layer or class with its own schema. Many sources contain multiple layers or tables, so a reader can be configured to bring in several feature types, each with its own attributes and geometry. On the writing side, a writer can output multiple feature types when the destination format supports it, or when you route different feature types to appropriate outputs. This flexibility reflects how data often combines several kinds of features in one source, and you want to process and output them separately or together as needed. Therefore, the statement is true. For formats that don’t support multiple feature types in a single file, you’d typically use separate writers or datasets, but the capability to have multiple feature types exists in FME.