Use datagroup to assign a caching policy to which components?

Using datagroups to assign a caching policy specifically targets Explores and Derived Tables. Datagroups are utilized in Looker to handle the timing and rules around caching data, ensuring that users are working with the most current data possible.

Explores represent queries on the data, and caching policies associated with them improve performance by storing result sets of these queries. Similarly, Derived Tables are created by running SQL queries to generate new tables from existing data. By assigning a caching policy to Derived Tables through datagroups, developers can determine how often these tables should refresh based on changes in the original data.

The focus on Explores and Derived Tables is essential because these components directly interact with the query results and user-generated reports. By managing the cache via datagroups, developers ensure that users receive up-to-date insights without excessive load on the database. Thus, the correct answer emphasizes the importance of effective caching strategies on the most dynamic elements of Looker's data exploration capabilities.