A workspace can have multiple readers and writers.

A workspace can have multiple readers and writers.

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

Answer: (B)

A workspace in FME is designed to bring in data from various sources and send data to multiple destinations. There’s no restriction that limits you to a single reader or a single writer. You can configure several readers to pull in different datasets—perhaps a shapefile, a database table, and a CSV file—and you can configure multiple writers to output to different formats or locations, such as shapefiles, a database, and a GeoPackage, all within one workflow. Transformers connect these readers and writers, enabling data to be filtered, transformed, and routed to the appropriate outputs. This flexibility to handle multiple inputs and outputs is a fundamental part of how a workspace is built, making the statement true.

A workspace in FME is designed to bring in data from various sources and send data to multiple destinations. There’s no restriction that limits you to a single reader or a single writer. You can configure several readers to pull in different datasets—perhaps a shapefile, a database table, and a CSV file—and you can configure multiple writers to output to different formats or locations, such as shapefiles, a database, and a GeoPackage, all within one workflow. Transformers connect these readers and writers, enabling data to be filtered, transformed, and routed to the appropriate outputs. This flexibility to handle multiple inputs and outputs is a fundamental part of how a workspace is built, making the statement true.