Which of the following is NOT a role associated with Table ACLs?

Which of the following is NOT a role associated with Table ACLs?

• A. Databricks admin
• B. Table owner
• C. Cluster manager
• D. Database owner

Answer: (C)

In the context of Table Access Control Lists (ACLs) within Databricks, the roles associated with managing table permissions primarily focus on data governance and security. The roles that typically have privileges to manage tables include the Databricks admin, table owner, and database owner. The Databricks admin role is responsible for overseeing the entire Databricks workspace and holds the authority to grant or revoke access to resources and manage user permissions, including table ACLs. The table owner is specifically responsible for a particular table and has the ability to set permissions for that table, controlling who can read, write, or manage the data. The database owner has similar responsibilities at the database level, managing access to all tables contained within that database. However, the cluster manager role does not directly relate to table permissions. The cluster manager is typically responsible for managing the compute resources, such as clusters, rather than controlling access to specific data tables. Thus, this role does not have a direct influence on Table ACLs within Databricks, making it the correct answer to the question regarding which role is NOT associated with Table ACLs.

In the context of Table Access Control Lists (ACLs) within Databricks, the roles associated with managing table permissions primarily focus on data governance and security. The roles that typically have privileges to manage tables include the Databricks admin, table owner, and database owner.

The Databricks admin role is responsible for overseeing the entire Databricks workspace and holds the authority to grant or revoke access to resources and manage user permissions, including table ACLs. The table owner is specifically responsible for a particular table and has the ability to set permissions for that table, controlling who can read, write, or manage the data. The database owner has similar responsibilities at the database level, managing access to all tables contained within that database.

However, the cluster manager role does not directly relate to table permissions. The cluster manager is typically responsible for managing the compute resources, such as clusters, rather than controlling access to specific data tables. Thus, this role does not have a direct influence on Table ACLs within Databricks, making it the correct answer to the question regarding which role is NOT associated with Table ACLs.