Snowflake Certification Practice Test 2026 – All-in-One Resource to Ensure Your Exam Success!

The results cache is designed specifically to improve performance by storing the results of queries that have already been executed. When a query is re-executed and the same underlying data has not changed, Snowflake can return the cached results rather than reprocessing the query, which saves time and resources. This caching mechanism is particularly effective for frequently run queries, making it a crucial feature for optimizing performance in data analysis.

In contrast, other caching types serve different purposes: the server cache helps with temporary storage of data recently accessed on the server level; the warehouse cache optimizes resource allocation across various warehouses; and the client cache stores data temporarily on the user's side to speed up interactions with the Snowflake environment. However, none of these directly focus on the finished results of executed queries in the same way that the results cache does.