What approach ensures that all tables in the Lakehouse are configured as external Delta Lake tables?

The approach that ensures all tables in the Lakehouse are configured as external Delta Lake tables is to specify a full file path alongside the Delta format when saving data to a table. When creating a Delta Lake table, doing so requires the specification of a location where the data files will reside. This not only ensures that the data is stored externally, outside of the default warehouse paths but also allows the Lakehouse to efficiently manage and access data.

By defining a full file path, you are effectively indicating that the data should be stored in a specified location within a data lake (such as Azure Blob Storage or Amazon S3), which aligns with the principles of external tables in data lake architectures. This allows for greater flexibility when dealing with large datasets, making external tables ideal for retaining data that can be accessed by various applications and services without being tied to the internal data warehouse storage.

The other options do not directly ensure that tables are external Delta Lake tables. Making use of the LOCATION keyword when creating a database is important for defining storage locations but does not specifically assure that the tables created will be external. Leveraging Databricks for ELT practices is beneficial for data processing but does not inherently dictate external table configurations. Lastly, while ensuring the use of the EXTERNAL