Snowflake - Build and Architect Data Pipelines Using AWS - What Is Time Travel and Failsafe in Snowflake?

The video tutorial explains three data layers in Snowflake: the current layer for data storage and queries, the time travel zone for accessing historical data snapshots, and the fail safe zone where data is irretrievable without Snowflake's help. It details how the time travel feature works, using an example of data changes over several days, and highlights the importance of data retention settings. The tutorial concludes with a preview of executing time travel using SQL commands in the next video.

Which layer in Snowflake allows you to run queries and build pipelines?

• Fail-safe zone

• Time travel zone

• Current data storage

• Historical data layer

What is the primary function of the time travel zone in Snowflake?

• To recover data from the fail-safe zone

• To store current data

• To access historical snapshots of data

• To permanently delete data

If the data retention time is set to 1 day, can you access a snapshot from two days ago?

• Yes, always

• No, unless retention is set to 2 or more

• Yes, if you contact Snowflake

• No, it's never possible

What is the default data retention time for the enterprise edition of Snowflake?

• 2 days

• 1 day

• 3 days

• 5 days

What happens to a snapshot when it moves into the fail-safe zone?

• It can be accessed with special SQL commands

• It is permanently deleted

• It can only be recovered with Snowflake's help

• It becomes part of the current data storage