For an Explore, which parameter enables you to modify the amount of time that cached query results are used?

For an Explore, which parameter enables you to modify the amount of time that cached query results are used?

• A. cache_time
• B. persist_for
• C. cache_duration
• D. expires_in

Answer: (B)

The parameter that enables you to modify the amount of time that cached query results are used in an Explore is "persist_for." This parameter defines the duration for which the results of a query will be cached, allowing for improved performance and reduced load on the data source by avoiding repeated queries for the same data within that time frame. By setting the "persist_for" parameter, developers can optimize how long the query results remain in the cache, ensuring that users see consistent data without unnecessary delays while still preventing stale data from being presented. This is particularly useful in scenarios where data is not expected to change frequently but may still need to be refreshed based on some internal logic within the Looker environment. The other options may not align with the typical Looker syntax or functionality related to caching. For example, terms like "cache_time" and "cache_duration" might suggest cache configurations, but they do not correctly correspond to the specifications used in LookML for managing cache persistence. Similarly, “expires_in” might denote a valid concept but does not represent the correct parameter used within Looker’s caching framework.

The parameter that enables you to modify the amount of time that cached query results are used in an Explore is "persist_for." This parameter defines the duration for which the results of a query will be cached, allowing for improved performance and reduced load on the data source by avoiding repeated queries for the same data within that time frame.

By setting the "persist_for" parameter, developers can optimize how long the query results remain in the cache, ensuring that users see consistent data without unnecessary delays while still preventing stale data from being presented. This is particularly useful in scenarios where data is not expected to change frequently but may still need to be refreshed based on some internal logic within the Looker environment.

The other options may not align with the typical Looker syntax or functionality related to caching. For example, terms like "cache_time" and "cache_duration" might suggest cache configurations, but they do not correctly correspond to the specifications used in LookML for managing cache persistence. Similarly, “expires_in” might denote a valid concept but does not represent the correct parameter used within Looker’s caching framework.