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A data engineer is configuring a Databricks Asset Bundle to deploy a job with granular permissions. The requirements are: * Grant the data-engineers group CAN_MANAGE access to the job. * Ensure the auditors group can view the job but not modify or run it. * Avoid granting unintended permissions to other users or groups. How should the data engineer deploy the job while meeting the requirements?
Correct Answer: B
Databricks documents that resource-specific permissions for bundle resources can be defined under the resource itself, such as resources.jobs. < job > .permissions , using group_name and level . The documented syntax supports CAN_VIEW , CAN_MANAGE , and related permission levels, which matches option B. ( Databricks Documentation ) Option C is invalid because it repeats the permissions key incorrectly. Option D applies top-level permissions more broadly across bundle resources instead of scoping them specifically to the job, which does not best satisfy the "avoid unintended permissions" requirement. Option B is therefore the correct and properly scoped configuration. ( Databricks Documentation ) ======