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What does the process of Time Travel safeguard against?

  1. Data modification errors

  2. Data ingestion delays

  3. Data storage issues

  4. System outage disruptions

The correct answer is: Data modification errors

The process of Time Travel in Snowflake is designed to safeguard against data modification errors. This feature allows users to access historical data states, which is especially valuable when unintended data changes occur, such as accidental deletions or updates that need to be rolled back. By utilizing Time Travel, users can easily recover the data as it existed at a specific point in time, ensuring data integrity and providing a safety net against potential mistakes made during data handling. In contrast, data ingestion delays are focused on the time it takes to load data into the system rather than preserving historical data. Data storage issues relate to problems such as the capacity or performance of the storage solution, but these do not concern the ability to revert changes. Lastly, while Time Travel may provide some comfort in case of system outages by allowing retrieval of previous data states, its primary purpose is not to address system disruptions but to mitigate errors associated with data modifications.