AWS Certified AI Practitioner (AIF-C01) · Objective 3.3
Setting a data-quality SLO
3.3Standard
Documents feed a RAG index.
Stop poor evidence from being served.
Choose two practices.
Hint 1: Focus on the requirement
Set measurable targets for completeness, duplicates, freshness, schema, authorization, and evidence, with isolation on violation.
Hint 2: Key terms
Review data-quality SLOs.
Data-quality SLO
A target for an observable data property such as freshness or completeness.
Completeness
The proportion of expected fields or records that are present and usable.
Quarantine index
A separate index that holds data until quality or authorization checks pass.
Schema validity
Conformance of data fields, types, and structure to an agreed schema.
× Incorrect
Set targets for completeness, duplicates, freshness, schema, authorization, and evidence support, with quarantine, alert, reprocessing, approval, and user notice.
Detailed explanation
A
CorrectSet targets for completeness, duplicates, freshness, schema, authorization, and evidence support
Quality is measurable.
B
CorrectDefine quarantine, alert, reprocessing, approval, and user notice for violations
Bad evidence is contained.
C
IncorrectServe an index despite SLO violations
Unsupported evidence is used.
D
IncorrectDocument count alone proves data quality
Content and freshness are unknown.
Check official documentation
Compare the following points with the official documentation.
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