A consultant is advising a customer that wants a scalable implementation. What is the best way to handle factsheets and evidence while staying aligned with the certification objectives?
Select an answer to reveal the explanation.
Short Explanation and Infographic
A factsheet is the aircraft maintenance log for your AI model — skip entries and the regulator grounds the plane. Option C wins because it captures purpose, data, evaluations, and decisions in a structured, retrievable form. Slide decks vanish, model names tell you nothing, and special carve-outs for generative AI just create blind spots. You need the full log, not a summary — that is option C!
Full explanation below image
Full Explanation
The correct answer is C. Use factsheets and evidence records to document model purpose, data, evaluations, and decisions. aligns directly with the 2.0 AI Lifecycle Governance exam objective and reflects how IBM watsonx.governance operationalizes this practice in enterprise environments. IBM watsonx.governance is designed to provide the tooling, workflows, and evidence collection mechanisms that make AI trustworthy and auditable from intake through retirement. Choosing this option ensures the implementation is both defensible to regulators and maintainable by governance teams across the full AI lifecycle. Option A is incorrect because it relies on an informal, non-auditable mechanism that cannot support enterprise governance at scale. Option B is incorrect because it narrows the scope to a single artifact or metric and misses the full governance requirement. Option D is incorrect because it eliminates a required control and leaves the governance program without a critical safeguard. On scenario-based exam questions, the correct answer is consistently the one that operationalizes the IBM governance practice with structured controls rather than approximating it with shortcuts, manual workarounds, or oversimplified rules.