The feature in Snowflake that allows a user to substitute a randomly generated identifier for sensitive data before loading it into Snowflake is known as External Tokenization.This process helps to secure sensitive data by ensuring that it is not exposed in its original form, thus preventing unauthorized access3.

TheACCESS_HISTORYview in theSNOWFLAKE.ACCOUNT_USAGEschema contains information about the access history of Snowflake objects, such as tables and views, within the last 365 days1.

When a running virtual warehouse in Snowflake is suspended and then restarted, the minimum amount of time it will incur charges for is 60 seconds2.

The responsibilities of Snowflake's Cloud Service layer include authentication (A), which ensures secure access to the platform; resource management (B), which involves allocating and managing compute resources; and query parsing and optimization (D), which improves the efficiency and performance of SQL query execution3.

Temporary and transient tables in Snowflake do not have a Fail-safe period.Once the session ends or the tables are dropped, the data is purged and not recoverable1.

The GET command is used to download files from a Snowflake stage to a local folder on a client's machine2.

Snowflake's Fail-safe provides a 7-day period during which data in a permanent table may be recoverable, but only by Snowflake Support, not by user operations3.

The graphical representation of warehouse utilization indicates periods of significant queuing, suggesting that the current single cluster cannot efficiently handle all incoming queries.Configuring the warehouse to a multi-cluster warehouse will distribute the load among multiple clusters, reducing queuing times and improving overall performance1.

Reference = Snowflake Documentation on Multi-cluster Warehouses1

The Enterprise edition of Snowflake allows for a dedicated metadata store, providing additional features designed for large-scale enterprises