A consultant is advising a customer that wants a scalable implementation. The team is focused on inventory accountability. Which recommendation is most appropriate?

Here's the deal: inventory accountability is not just a checkbox; it is the difference between a clean handoff and a late-night recovery call. In this scenario, answer C is the practical move because it keeps the implementation tied to the real IBM capability instead of chasing a shortcut. The other choices sound tempting, but they either skip governance, ignore operational reality, or solve the wrong problem.

The correct answer is C. Keep owners and reviewers accountable for updates, decisions, and remediation actions. That aligns with the 5.0 Define and Govern AI Use Case Inventory objective because it applies the feature or practice in the context where IBM expects a practitioner to use it. It also keeps the design reviewable, supportable, and realistic for a production environment.

Let's examine why the other options are incorrect: - Option A is incorrect because it sounds related, but it does not solve the inventory accountability requirement described in the scenario. - Option B is incorrect because it sounds related, but it does not solve the inventory accountability requirement described in the scenario. - Option D is incorrect because it skips the control or validation that makes inventory accountability reliable in production. For the exam, connect the feature to the operational outcome: the right answer is the one that preserves control, accuracy, and maintainability instead of relying on a brittle shortcut. The incorrect options — such as 'Let ownership expire after approval' and 'Use anonymous owners for sensitive systems' — describe either out-of-sequence steps or unrelated configuration tasks. This concept falls under the 5.0 Define and Govern AI Use Case Inventory domain of the IBM watsonx.governance certification.