AIF-C01 practice question: Responsible AI and guardrails (3 of 5)

Guidelines for Responsible AI 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 company with a net zero target runs a high-volume document classification workload on AWS.

It uses the largest available model on an endpoint that runs all day, although traffic is heavy only during office hours.

Which TWO changes BEST reduce energy use while keeping the required accuracy? (Choose two.)

Choose two answers.

A. Move to a smaller model that meets the agreed accuracy target on a test set of the company's own documents.
B. Keep the largest model, because a bigger model reduces the need to check results later.
C. Stop or scale down the endpoint outside office hours, so that capacity does not sit idle overnight.
D. Duplicate the always-on endpoint in a second Region, so that classification continues if one Region fails.
E. Store every version of every scanned document in S3 Standard indefinitely, so that no file is ever lost.

Show the answer and explanation

Answers: A, C

A. Right: Correct. Right-sizing uses the least compute that meets the requirement, and a smaller model that passes the accuracy test uses less energy for each document.
B. Wrong: A larger model uses more compute for every document. It does not reduce energy use and works against the net zero goal.
C. Right: Correct. Idle resources still draw power, so reducing capacity outside office hours cuts energy use without changing the work the workload completes. Learn more: Design principles for sustainability in the cloud (opens in a new tab)
D. Wrong: A second always-on endpoint doubles idle capacity and adds energy use. It improves resilience but does not reduce the workload's footprint.
E. Wrong: Keeping every version forever raises storage energy and cost with no need from the workload. Retention should follow the business rule, not an open-ended default.

Explanation

The Sustainability Pillar of the Well-Architected Framework asks teams to right-size workloads and to eliminate idle resources, since both reduce the energy needed. A smaller model that still meets accuracy and reduced capacity outside office hours apply those two principles to an AI workload. This question tests applying them to a model choice and an endpoint schedule.

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Design principles for sustainability in the cloud

AIF-C01 practice question: Responsible AI and guardrails (3 of 5)

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