Home / AWS Certified AI Practitioner (AIF-C01) / 4 Practice / AWS-AIF-262
Score distributions and error rates differ by group.
A single threshold may not have the same effect.
Choose two evaluations.
Hint 1: Focus on the requirement Compare outcome and error metrics by group across candidate thresholds, then select a definition of fairness that matches the real obligation.
Hint 2: Key terms Review fairness metrics and threshold trade-offs.
Selection rateThe proportion of a group receiving a positive or approved outcome.
Fairness definitionThe stated principle that determines which outcomes or errors should be comparable across groups.
ThresholdA score boundary used to convert a model output into an action.
Group metricA performance or outcome measure calculated separately for a defined population. × Incorrect Compare subgroup precision, recall, and selection rate by threshold and agree on fairness, legal, and operational requirements with stakeholders.
Detailed explanation A Incorrect Choose the threshold with best average performance without review
Harm and remedy are ignored.
B Incorrect One threshold automatically creates fairness
Score distributions and errors can differ.
C Correct Agree on fairness definition and legal and operational requirements with stakeholders
Trade-offs are decided transparently.
D Correct Compare precision, recall, and selection rate for each group at each threshold
Threshold impact is visible.
Check official documentation Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 4.1の公平性、閾値、バイアス評価を確認する。
Official references Official documentation 1 Official documentation 2 What to confirm 単一の閾値や平均性能だけで公平性を判断しない理由を説明できる。
Key points Threshold Group metrics Requirement Notes Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認 Compare the definition with the AIF-C01 objective and the service documentation before applying it. Keep the concept separate from a particular answer choice or implementation step. Foundation review Selection rate The proportion of a group receiving a positive or approved outcome.
Fairness definition The stated principle that determines which outcomes or errors should be comparable across groups.
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