A senior engineer reviews the current plan and notices that one key control is missing. What is the best way to handle retirement and archive while staying aligned with the certification objectives?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Imagine auditors showing up asking 'Hey, what happened to that old model?' and you've got nothing to show them—not good! Option D is the winner: retire or archive assets you're no longer using, but hang onto that evidence like it's gold. Regulators and compliance folks sleep better knowing you've got a paper trail, and you'll thank yourself later.
Full explanation below image
Full Explanation
The correct answer is D. When AI assets reach end-of-life, they must be formally retired or archived while maintaining all supporting evidence (deployment records, performance metrics, approval sign-offs, etc.). This demonstrates control and accountability. Option A (deleting evidence) destroys audit trails and violates compliance requirements. Option B (leaving retired models active) clutters your inventory and wastes resources. Option C (reusing old approvals) is reckless because context changes—each use case deserves its own review.