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Which types of tables exist in Snowflake?

  1. Regular

  2. Transient

  3. Temporary

  4. All of the above

The correct answer is: All of the above

In Snowflake, various table types are utilized to accommodate different storage and data retention needs. The correct answer encompasses all the mentioned types: Regular, Transient, and Temporary tables. Regular tables are the standard table type in Snowflake, designed to store permanent data. They allow for time travel and fail-safe features, enabling users to recover historical data if necessary. Transient tables, on the other hand, serve a different purpose. They are designed for use cases where data persistence is not as critical. Unlike regular tables, transient tables do not support fail-safe; however, they do allow for time travel, giving users the ability to recover data within a specified time frame. This makes them ideal for temporary workloads where performance and cost efficiency are prioritized. Temporary tables exist solely within a session and are automatically dropped when the session ends. They are suitable for short-lived, intermediate results or transient data processing tasks. This table type is handy for staging data without the need to manage long-term storage costs or retention policies. By understanding all three types, users can choose the appropriate table based on their specific data retention and accessibility needs. Hence, the answer indicating all of the above types of tables correctly represents the various options available in Snowflake for diverse usage contexts.