What is the result of using the 'persist_with' keyword in an Explore?

What is the result of using the 'persist_with' keyword in an Explore?

• A. It allows the Explore to ignore caching rules
• B. It specifies how the Explore's query results are cached
• C. It defines the maximum load the Explore can handle
• D. It connects the Explore to a specific dashboard

Answer: (B)

The use of the 'persist_with' keyword in an Explore is primarily concerned with how the query results are managed in terms of caching. When you specify 'persist_with,' you are indicating that the results of the Explore's query should be cached in a particular way, allowing subsequent queries to be served more quickly because they can access the stored results rather than executing potentially expensive queries against the underlying database again. This approach facilitates performance optimization by effectively managing the storage and retrieval of query results. Users benefit from quicker access to data that does not change frequently, enhancing the overall efficiency of data analyses and reporting. This specific functionality is different from choices that discuss caching rules generally or load handling. It also does not relate to connecting dashboards, which involves entirely separate functionality within Looker. Therefore, the correct answer directly relates to optimizing performance through controlled caching behavior.

The use of the 'persist_with' keyword in an Explore is primarily concerned with how the query results are managed in terms of caching. When you specify 'persist_with,' you are indicating that the results of the Explore's query should be cached in a particular way, allowing subsequent queries to be served more quickly because they can access the stored results rather than executing potentially expensive queries against the underlying database again.

This approach facilitates performance optimization by effectively managing the storage and retrieval of query results. Users benefit from quicker access to data that does not change frequently, enhancing the overall efficiency of data analyses and reporting.

This specific functionality is different from choices that discuss caching rules generally or load handling. It also does not relate to connecting dashboards, which involves entirely separate functionality within Looker. Therefore, the correct answer directly relates to optimizing performance through controlled caching behavior.