Snowflake SnowPro Certification Practice Test 2025 – All-in-One Guide to Master Your Certification!

Warehouse caching in Snowflake is designed to enhance performance by storing the results of queries to avoid redundant computation on subsequent executions. However, there are specific situations that can lead to the invalidation of this cached data.

In the context of the options provided, data in the warehouse cache becomes invalidated when the underlying data is suspended. When the underlying data or relevant database objects (such as tables) are modified, possibly through actions such as DDL changes, the cache related to that data no longer represents the most current state. As a result, any cached results that relied on that data would be invalidated, requiring a refresh when a new query is executed.

Options involving user actions, such as logging out, creating new warehouses, or manually deleting data would not affect the validity of warehouse cache data in the same way. The cache is primarily concerned with the state of the underlying data rather than user-specific actions. Thus, the correct understanding of how warehouse caching works leads to identifying the underlying data suspension as the key trigger for cache invalidation.