An administrator is troubleshooting a pilot deployment and wants the most appropriate next step. Which approach best demonstrates model lifecycle tracking in a IBM Certified watsonx Governance Lifecycle Advisor environment?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Tracking the full lifecycle is like following a patient from checkup to discharge—you don't just show up for surgery! Start tracking from intake, through development and validation, all the way through deployment, monitoring, and retirement. Full visibility means you catch problems early and prove you governed every step. That's the complete picture!
Full explanation below image
Full Explanation
The correct answer is A. Tracking models and generative AI assets through the complete lifecycle—intake, development, validation, deployment, monitoring, and retirement—ensures governance is continuous and evidence is preserved at every stage. Option B is wrong because waiting until production to start tracking misses critical early governance decisions and risk assessments. Option C is incomplete; you must track use cases and AI assets, not just code repos, because the business context and risk profile matter most. Option D is clearly harmful; deleting lifecycle records after approval destroys evidence and violates audit requirements. IBM watsonx.governance is built on end-to-end visibility, so administrators must instrument tracking from day one.