What type of data store holds the results generated using ArcGIS GeoAnalytics Server tools?

The spatiotemporal big data store is specifically designed to handle large volumes of data that include both spatial and temporal dimensions. When using ArcGIS GeoAnalytics Server tools, the results produced are typically characterized by their need to be processed and analyzed over time and space, making the spatiotemporal big data store the most appropriate choice.

This type of data store allows for efficient management of large datasets by enabling fast queries and analysis of data that can change over time, which is essential for applications involving geographic information system (GIS) analysis. It can optimize performance for big data processing and is integrated into the ecosystem of ArcGIS, facilitating the effective application of geospatial analytics.

The relational data store primarily handles structured data and would not be as effective for managing the specific requirements of spatiotemporal data generated by GeoAnalytics tools. The tile cache data store is utilized for storing cached map tiles, whereas the global data store is meant for globally distributed datasets and is not tailored toward spatiotemporal processing. Hence, the spatiotemporal big data store is the correct answer as it aligns with the functional requirements and capabilities of the tools associated with ArcGIS GeoAnalytics Server.