In Fabric, which statement best describes the relationship between a Data Factory workload and Dataflow Gen2?

• A. Data Factory is a workload where you can create a Dataflow Gen2 to transform data.
• B. Data Factory is not the place to create Dataflow Gen2 pipelines.
• C. Data Factory is primarily used for data visualization tasks.
• D. Data Factory can only copy data but cannot transform.

Answer: (C)

In Fabric, Data Factory acts as the workflow engine that orchestrates data workloads, while Dataflow Gen2 provides the transformation logic used inside a pipeline. The best description is that you can create and run a Dataflow Gen2 transformation as a step within a Data Factory pipeline to transform data during the workflow. This shows Data Factory isn’t limited to copying data or simply visual tasks; it can invoke Dataflow Gen2 to perform transformations as part of an end-to-end process. Visualization is handled by BI tools, not Data Factory, and Data Factory can do more than just copy—transformations can be integrated via Dataflow Gen2 within pipelines.