Databricks Certified Data Engineer - Associate

Explanation

In Databricks, the table owner can be identified by reviewing the Owner field in the table's page within Data Explorer. This is the standard and most direct way to find out who owns a table in Databricks.

Let's analyze each option:

A. Review the Permissions tab in the table's page in Data Explorer - The Permissions tab shows who has what permissions on the table, but it doesn't necessarily show the owner specifically. While the owner might have permissions listed there, this is not the direct way to identify the owner.

B. All of these options can be used to identify the owner of the table - This is incorrect because not all options are valid ways to identify the owner.

C. Review the Owner field in the table's page in Data Explorer - CORRECT. Databricks Data Explorer displays the owner of each table in a dedicated Owner field, making this the most straightforward approach.

D. Review the Owner field in the table's page in the cloud storage solution - This is incorrect because cloud storage solutions (like AWS S3, Azure Blob Storage, or Google Cloud Storage) don't have table metadata or owner information in the same way Databricks does. Tables in Databricks are metadata objects that exist in the Unity Catalog or Hive metastore, not directly in cloud storage.

E. There is no way to identify the owner of the table - This is incorrect because Databricks provides mechanisms to identify table owners.

The suggested answer C is correct because in Databricks Data Explorer, each table's details page includes an Owner field that clearly shows who owns the table, allowing users to identify who to contact for permission requests.