Conduct representative local validation: What missing control most directly addresses transfer risk?
Vendor benchmarks have limited scope; representative local validation tests whether reported performance transfers to the actual deployment.
The question
A retail vendor reports excellent demand-forecast accuracy from its benchmark stores. Your deployment serves smaller stores with different product mixes and local buying patterns. Assume mapping, access controls, monitoring, and oversight are satisfied. What missing control most directly addresses transfer risk?
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- Request the vendor’s benchmark methodology.Methodology clarifies how the benchmark was produced, but it cannot establish performance for materially different local stores.
- Increase forecast review frequency.More frequent review may detect issues sooner, but it does not directly measure whether benchmark performance transfers to local conditions.
- Conduct representative local validation. ✓Testing on representative stores and product patterns directly evaluates whether vendor performance evidence applies to this deployment context.
- Require a contractual accuracy commitment across all local stores.A contractual commitment may allocate responsibility, but it does not produce evidence that the model performs adequately in this context.
The trap
Ask whether the benchmark population matches the intended users, data, and operating conditions. How to remember it
Vendor benchmarks have limited scope; representative local validation tests whether reported performance transfers to the actual deployment.
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 ·
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