A consultant is advising a customer that wants a scalable implementation. What is the best way to handle use case intake while staying aligned with the certification objectives?

Here's the deal: use case intake is not just a checkbox; it is the difference between a clean handoff and a late-night recovery call. In this scenario, answer A 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 A. Capture purpose, owner, business context, data, model type, risk, and intended users during intake. 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 B is incorrect because it narrows the solution to one artifact or metric and misses the broader use case intake requirement. - Option C is incorrect because it sounds related, but it does not solve the use case intake requirement described in the scenario. - Option D is incorrect because it skips the control or validation that makes use case intake 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 'Register only the model file name' and 'Wait until launch to ask who owns it' — 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.