Snowflake SnowPro Certification Practice Test 2026 – Complete Exam Prep Guide

The statement that all cache data are cleared if the underlying data changes is true. In Snowflake, when the data that has been cached is updated or modified, the system automatically invalidates the relevant cached data. This ensures that subsequent queries reflect the most current and accurate data, as cached results might no longer be relevant or accurate after a change in the underlying data.

This automatic clearing mechanism is particularly important for maintaining data consistency and integrity in a cloud-based data warehousing environment. If the cache were not cleared upon changes to the underlying data, users might receive outdated or incorrect results, which could lead to misinterpretations and poor decision-making.

Options suggesting that it’s false or conditional (like certain cache types or user settings) do not apply here because the design of Snowflake emphasizes always delivering the latest data to users by clearing the cache when necessary.