Before data lands in the curated zone, the team must validate row counts, null rates, and value ranges — failing checks should stop the pipeline. Which Glue feature expresses these rules?
A.Glue DataBrew recipes
DataBrew cleans and profiles data visually — it isn't the rules-engine gate for pipelines.
B.AWS Glue Data Quality with DQDL rules
Correct. DQDL rules run inside Glue jobs and can stop downstream processing.
C.Athena constraint checks in DDL
Athena doesn't enforce data-entry constraints — it's a query engine over files.
D.Glue workflow triggers
Workflow triggers schedule jobs; they don't evaluate data quality.
Why this answer
Glue Data Quality evaluates DQDL rules (RowCount, IsComplete, ColumnValues ranges, etc.) on datasets and can publish metrics to CloudWatch or fail ETL jobs — the managed data-quality gate.
Correct answer: B · Last reviewed 2026-10-26
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