AIF-C01 practice question: Data governance and lineage (2 of 2)
Security, Compliance, and Governance for AI Solutions A free question from our original AIF-C01 practice exam. Try it, then open the answer to see why each option is right or wrong.
A European bank uses foundation models on Amazon Bedrock.
Its data residency policy requires that prompts and responses are processed only within the EU. Traffic peaks sometimes exceed what one Region can serve, so the bank needs cross-Region inference.
Which approach meets both requirements?
Choose one answer.
AA. Use an EU geographic cross-Region inference profile, which routes requests only among Regions within the EU.
BB. Use a global cross-Region inference profile, which can spread requests across Regions beyond any single geography.
CC. Use one in-Region on-demand model only, and accept that requests above the Region's capacity are throttled at peak times.
DD. Use a US geographic cross-Region inference profile, since it offers more capacity than the EU profile.
B. Wrong: A global profile is not limited to one geography, so it can send requests to Regions outside the EU. That breaks the residency rule.
C. Wrong: A single Region keeps data in the EU but cannot absorb peak traffic beyond its capacity. The bank's throughput need is not met.
D. Wrong: A US profile routes requests only among US Regions, which moves EU prompts outside the EU. It fails the residency rule.
Explanation
Cross-Region inference raises throughput by routing requests across Regions. Geographic profiles restrict that routing to one geography, such as the EU or the US, which is how residency rules are met. This question tests combining a throughput need with a residency limit.
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