Why might the data footprint of a non-counting question be larger on the Tanium Server?

The correct choice highlights that non-counting questions in Tanium do not aggregate data, which fundamentally impacts the data footprint on the Tanium Server. When a non-counting question is asked, it retrieves detailed information from endpoints without summing or consolidating the results. This means that each endpoint’s individual response contributes to the overall dataset being stored or transmitted, leading to a larger data footprint.

In contrast, counting questions synthesize information by returning summarized results, which reduces the volume of data being managed. Thus, the lack of aggregation in non-counting questions directly correlates to a greater amount of raw data being processed and stored on the server.

This understanding is critical when considering data management and network efficiency within Tanium. It highlights the importance of question types and their impact on resource utilization and storage. Other options, while relevant in different contexts, do not address the specific mechanism of data aggregation, which is crucial to the data footprint size.