What is a key feature of Power BI dataflows?

Power BI dataflows are specifically designed to facilitate the extraction, transformation, and loading (ETL) of data. The key feature of Power BI dataflows is their ability to transform, shape, and model data before it is loaded into Power BI. Dataflows enable users to create reusable data preparation logic that standardizes the data used across multiple reports, allowing for seamless integration and consistency. This transformation capability is pivotal in ensuring that data is in the right format and is clean before it's used for analysis or visualization in Power BI.

While options such as real-time data processing, creating dashboards, and exporting data to Excel are functionalities associated with Power BI, they do not directly relate to the purpose of dataflows. Real-time data processing typically pertains to the streaming datasets and dashboards within Power BI that reflect immediate updates. Creating dashboards relates more to data visualization and reporting, rather than data preparation. Finally, exporting data to Excel is a feature for sharing and analyzing the processed data, rather than for shaping or transforming the data itself. Thus, the primary focus of dataflows in Power BI revolves around the transformation and modeling of data.