Discuss the implications of using managed versus external tables in Databricks on data lifecycle management. Provide examples of scenarios where each type of table would be more appropriate.

Simulated

Managed tables are appropriate when Databricks should manage all aspects of the table, including data storage, ideal for ephemeral environments. External tables are suitable when the user needs to control the data location, crucial for long-term data storage and compliance.

90.6%

Both managed and external tables offer the same lifecycle management capabilities, making the choice irrelevant.

3.0%

External tables are always preferred over managed tables for better lifecycle management and data control.

4.0%

Managed tables cannot be used for any scenario involving data lifecycle management.

2.3%

Databricks Certified Data Engineer - Associate

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Discuss the implications of using managed versus external tables in Databricks on data lifecycle management. Provide examples of scenarios where each type of table would be more appropriate.