Which dataset type is used for near-real-time information from IoT devices in Power BI dashboards?

The correct choice is streaming dataset. This type of dataset is specifically designed to handle data that is updated frequently, allowing for near-real-time information to be visualized in Power BI dashboards. Streaming datasets enable users to display data that is being generated continuously from sources such as Internet of Things (IoT) devices, sensors, or other live data feeds. The information is pushed to the dashboard dynamically, allowing users to monitor it as changes occur, which is essential for applications that require up-to-the-minute updates.

In contrast, regular datasets retain data in more traditional formats and are typically refreshed at scheduled intervals rather than continuously. Statistical datasets focus on aggregated data and analysis, which is not conducive for real-time monitoring. Hierarchical datasets organize data in a structured format but do not inherently allow for live updates. Thus, for applications needing immediate insights from IoT devices within Power BI, streaming datasets are the ideal choice.