AWS Certified AI Practitioner (AIF-C01) · Objective 4.2
Operating an AI risk register
4.2Standard
Release several AI features in stages.
Track risks and mitigations over time.
Choose two practices.
Hint 1: Focus on the requirement
Track each AI risk with its owner, treatment, evidence, and remaining exposure, and update the record as the system changes.
Hint 2: Key terms
Review risk registers and residual risk.
Risk register
A maintained list of risks, impacts, controls, owners, and treatment status.
Residual risk
Risk that remains after planned or implemented controls are applied.
Risk owner
The person accountable for deciding how a risk is treated and monitored.
Risk treatment
Avoiding, reducing, transferring, or accepting a documented risk.
× Incorrect
Record affected people, hazards, likelihood, impact, owner, mitigation, residual risk, versions, evaluations, and approval state, and update them after changes.
Detailed explanation
A
IncorrectRecord only passing results and omit residual risk
Decision assumptions are hidden.
B
CorrectRecord purpose, affected people, hazards, likelihood, impact, owner, and mitigations
Risks are concrete and trackable.
C
CorrectUpdate model and data versions, evaluation, residual risk, and approval state
Changes trigger reassessment.
D
IncorrectCreate the register once after launch
Systems and environments change.
Check official documentation
Compare the following points with the official documentation.
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