To create a dynamic visualization based on a streaming dataset in Power BI, what should you do?

Creating a dashboard with a tile based on the streaming dataset is the correct approach for developing dynamic visualizations in Power BI. Dashboards in Power BI are designed for real-time monitoring and visualization of data, especially for streaming datasets. By pinning a tile that represents a streaming dataset to a dashboard, users can see live updates as data flows in, allowing for interactive decision-making and insights.

This option leverages the capabilities of Power BI to handle real-time data, permitting users to visualize and interpret changing data instantly. Streaming datasets are intended to be displayed in real time, which is seamlessly accomplished through dashboards that can showcase the latest data without requiring any manual refresh.

The other methods mentioned do not provide the dynamic and real-time visualization capabilities that dashboards offer. Creating a report from the dataset focuses more on static analysis and visualizations that may not capture live changes as effectively. Exporting the streaming dataset to Excel introduces additional steps and hinders the real-time aspect by moving the data into a different format that isn't optimized for live updates. Using static visualizations in Power BI entirely bypasses the advantages of streaming data, as it wouldn't accommodate the dynamic nature of continuously updating data streams.