Compare latency: What conclusion is supported?
The evidence supports a deployment tradeoff assessment, not choosing edge or cloud from one advantage.
The question
A housing administrator compares an edge model with a cloud model for a resident-service assistant. Edge testing shows faster responses during poor connectivity; the cloud model provides stronger centralized logging and easier updates. Low latency is mandatory, and governance also requires suitable security, maintenance, and human oversight. What conclusion is supported?
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- Run a controlled pilot with matched workloads and review procedures.A controlled pilot could produce useful evidence, but the observations themselves support a tradeoff analysis rather than mandate this particular validation design.
- Compare latency, security, maintenance, and oversight tradeoffs before selecting. ✓The observations establish competing advantages, so selection requires evaluating both performance and governance controls in the intended setting.
- Adopt cloud because centralized logging proves stronger governance.Centralized logging supports accountability, but it does not prove that cloud processing satisfies the mandatory latency requirement or all other controls.
- Adopt edge because the latency requirement decides suitability.Edge may satisfy latency, but the evidence does not show that its security, maintenance, and oversight controls are adequate overall.
The trap
A mandatory constraint must be met, but it does not by itself prove that a deployment is suitable. How to remember it
The evidence supports a deployment tradeoff assessment, not choosing edge or cloud from one advantage.
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.
