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Answer: Databricks Jobs are required to have exactly one owner, and 'Owner' privileges cannot be assigned to a group.
### Explanation **Correct Answer: C** Databricks Jobs follow a specific identity and access management (IAM) model regarding ownership: * **Individual Ownership:** Every Databricks Job must have exactly one owner. This ownership must be assigned to an individual user, not a group. * **Transferability:** While a job must have an owner, that owner can be changed. Workspace administrators have the ability to reassign ownership to a different user if the original owner leaves a team or the company. **Analysis of Other Options:** * **Option A is incorrect:** Ownership can be transferred by administrators; it is not permanently fixed to the creator. * **Option B is incorrect:** While ownership is restricted to individuals, other permission levels (such as `CAN RUN`, `CAN EDIT`, and `CAN MANAGE`) can be granted to both individual users and groups. * **Options D and E are incorrect:** Databricks Jobs do not support group ownership. Therefore, neither a user nor an administrator can assign 'Owner' privileges to a group.
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A data engineering team needs to transfer the ownership of a Databricks Job because the original creator has moved to a different department. Which of the following statements accurately describes the permission controls and ownership requirements for Databricks Jobs?
A
Ownership of a Databricks Job is permanently tied to the creator and cannot be modified once the job is created.
B
Only individual users can be granted any level of permissions on Databricks Jobs, with the exception of the workspace 'admins' group.
C
Databricks Jobs are required to have exactly one owner, and 'Owner' privileges cannot be assigned to a group.
D
A user can transfer Job ownership to a group as long as the user performing the transfer is a member of that group.
E
Workspace administrators are the only users with the authority to assign 'Owner' privileges to a group.