Which statement best describes Dataflow Gen2 capabilities in Fabric?

Which statement best describes Dataflow Gen2 capabilities in Fabric?

• A. It provides a way to import and transform data with Power Query Online.
• B. It is used only for data visualization.
• C. It stores data in CSV format by default.
• D. It cannot be used with Lakehouse destinations.

Answer: (B)

Dataflow Gen2 in Fabric is all about bringing data in, shaping it, and preparing it for analysis using Power Query Online. It lets you connect to multiple data sources, apply transformations with the familiar Power Query experience, and load the cleaned data into a target such as a Lakehouse. This makes it an ETL/ELT tool rather than a visualization-only feature. The other options misrepresent its behavior: it isn’t limited to visualization, it doesn’t store data by default as CSV, and it can be used with Lakehouse destinations. So the best fit is that it provides a way to import and transform data with Power Query Online.

Dataflow Gen2 in Fabric is all about bringing data in, shaping it, and preparing it for analysis using Power Query Online. It lets you connect to multiple data sources, apply transformations with the familiar Power Query experience, and load the cleaned data into a target such as a Lakehouse. This makes it an ETL/ELT tool rather than a visualization-only feature. The other options misrepresent its behavior: it isn’t limited to visualization, it doesn’t store data by default as CSV, and it can be used with Lakehouse destinations. So the best fit is that it provides a way to import and transform data with Power Query Online.