When querying multiple datasets, what filter selections are broadcast?

In the context of querying multiple datasets, broadcasts refer to how filter selections are applied across those datasets during a query execution. When a user applies filters in a multi-dataset environment, typically, the filter selections from the first dataset are the ones that get broadcasted. This means that the criteria set for the first dataset acts as the primary filter influencing the overall query results, impacting how data from the other datasets is interpreted or narrowed down in accordance with the selections made.

This behavior allows for efficient querying since the initial filters can significantly reduce the volume of data being processed from subsequent datasets, streamlining the analysis and optimizing performance. In many analytics tools, this approach helps in managing complexity and focusing queries for relevant insights without the need to replicate filter criteria across all datasets.

The other choices do not accurately capture the nature of how filter selections are prioritized and broadcasted during multi-dataset querying. Therefore, focusing on the selections from the first dataset as the broadcasted filters aligns with the established methodology in data querying practices.