In which context can you use a datagroup's caching policy?

A datagroup's caching policy can be utilized in the context of queries that utilize a specific model. This means that within the specified model, the caching behavior defined by the datagroup can be applied to improve performance and ensure data freshness.

Caching policies define how and when the data in the datagroup is refreshed or invalidated. This is critical for maintaining accurate and up-to-date data in reporting and analysis. By applying the caching policy in the context of a specific model, you can optimize the queries generated from that model to use cached data where appropriate, thereby reducing load times and improving efficiency for end-users.

The other options present scenarios that do not align with how datagroups are intended to operate. Stored procedures and single-use queries do not leverage the benefits of caching policies in the same way as defined models do, and non-reusable Explores would not utilize caching effectively across the Explore lifecycle. Focusing on a specific model allows for a more consistent application of the caching strategy across queries, leading to a more predictable and manageable data access pattern.