A pipeline must automatically stop when incoming data fails quality checks — null rates above threshold, invalid value ranges. Which AWS feature validates data quality declaratively?
A.Glue Data Quality rulesets
Declarative data-quality evaluation + actions. Correct.
B.CloudWatch metric alarms
Metrics watch infrastructure — not data content.
C.Athena views
Athena views query data — no validation gates.
D.S3 object tagging
Tags label objects — no quality logic.
Why this answer
Glue Data Quality evaluates declarative rulesets (completeness, uniqueness, ranges, referential integrity) inside jobs or pipelines — scoring datasets and enabling failure gates. CloudWatch monitors metrics, not record-level quality.
Correct answer: A · Last reviewed 2026-11-05
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