Which Lakehouse table type is a managed table?

Which Lakehouse table type is a managed table?

• A. Delta table created by a shortcut
• B. External table created by Spark
• C. Managed table
• D. Delta table created by a script

Answer: (C)

In Lakehouse setups, a managed table means the platform owns both the metadata and the data, storing the data in the system’s default location and handling its lifecycle. Because the system manages where the data lives, dropping a managed table typically also deletes the underlying data. A Delta table can be managed or external depending on how it’s created. If you don’t specify a storage location, it’s treated as managed. If you point to a specific path in the data lake, it becomes external, and dropping the table only removes the metadata, leaving the data behind. So the best answer is the one described as a managed table, since it aligns with the idea of the platform managing the data and its lifecycle.

In Lakehouse setups, a managed table means the platform owns both the metadata and the data, storing the data in the system’s default location and handling its lifecycle. Because the system manages where the data lives, dropping a managed table typically also deletes the underlying data.

A Delta table can be managed or external depending on how it’s created. If you don’t specify a storage location, it’s treated as managed. If you point to a specific path in the data lake, it becomes external, and dropping the table only removes the metadata, leaving the data behind.

So the best answer is the one described as a managed table, since it aligns with the idea of the platform managing the data and its lifecycle.