Continuously monitor outputs against thresholds: Which approach best meets the monitoring-and-maintenance
Continuous output monitoring plus scheduled maintenance and revalidation after updates meets the deployment monitoring obligation.
The question
A deployer uses a hosted third-party model whose vendor periodically updates it, occasionally shifting output behavior for the deployer's workflow. To govern deployment, the deployer needs an approach that catches these shifts and keeps the integration healthy. Which approach best meets the monitoring-and-maintenance obligation?
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- Continuously monitor outputs against thresholds and schedule maintenance and revalidation after vendor updates. ✓Correct because IV.C.2 requires continuous monitoring plus a regular maintenance and update schedule for the deployed system.
- Rely on the vendor's release notes alone and assume behavior is unchanged unless the notes state otherwise explicitly.Plausible but wrong: release notes are not a substitute for the deployer's own monitoring of real output behavior.
- Perform a single acceptance test at integration and treat the system as stable for the remainder of its service life.Almost right because acceptance testing is needed, but a one-time test cannot catch behavior shifts from later updates.
- Escalate to legal to renegotiate the contract each time the vendor pushes any update to the underlying model.Plausible but wrong: contract renegotiation is not a monitoring control and cannot detect behavioral drift in outputs.
The trap
Assuming vendor release notes or a one-time acceptance test replace the deployer's own continuous monitoring. How to remember it
Continuous output monitoring plus scheduled maintenance and revalidation after updates meets the deployment monitoring obligation.
How many of these would you get right?
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Part of the Certsqill AIGP question bank · Understanding How to Govern AI Deployment and Use ·
Every answer, right and wrong, comes with its own explanation.
