Which components are found at the lowest level of the data object hierarchy in Databricks?

The lowest level of the data object hierarchy in Databricks is represented by tables, views, and volumes. These components are essential for storing and managing data.

Tables serve as the primary structure where data is stored, consisting of rows and columns that organize the information effectively. Views are virtual tables that provide a way to present data from one or more tables with customized queries, offering flexibility in how data is accessed and manipulated without altering the underlying tables. Volumes, on the other hand, enable the organization and storage of large datasets in a persistent format, facilitating easier data access and management in a scalable manner.

This hierarchy emphasizes the fundamental aspects of data management in Databricks, illustrating that these components are foundational building blocks for higher-level abstractions like databases and catalogs, which organize and contain these tables and views. Thus, identifying tables, views, and volumes as the lowest level correctly reflects how data is managed and structured within Databricks.