A city analytics pipeline needs a managed ETL service to discover schemas, catalog datasets, and transform data for downstream analytics. Which AWS service is identified for that data integration role?
Select an answer to reveal the explanation.
Short Explanation
ETL and catalogs for analytics pipelines land on AWS Glue—discover schemas, crawl and catalog, transform for the lake or warehouse path. When the brief says managed data integration and transform, Glue is the service to name at Practitioner depth.
Full Explanation
A city analytics pipeline that needs a managed ETL service to discover schemas, catalog datasets, and transform data for downstream analytics should identify AWS Glue. Glue provides crawlers and a Data Catalog for schema discovery, plus ETL jobs for transforming data into forms suitable for lakes, warehouses, or Athena/Redshift-style analytics. At Practitioner depth, "managed data integration / ETL / catalog" maps cleanly to Glue for municipal analytics platforms.
Amazon CloudFront signed cookies authorize access to private CDN content; they are not ETL. AWS IAM Access Analyzer finds unused access or external access findings; it does not crawl and transform analytics datasets. Amazon Lightsail container service DNS concerns simple application hosting DNS, not enterprise ETL catalogs. Eliminate options that sit in CDN auth, IAM analysis, or Lightsail hosting when the stem is clearly data integration.
Exam caveat: Glue Catalog often underpins Athena. Glue ETL is distinct from EMR (big-data clusters) and from Kinesis (streaming). If the stem says discover/catalog/transform for analytics, Glue is the usual CLF answer.
Operational check for the analytics pipeline: run crawlers on landing-zone buckets, review inferred schemas before production use, author ETL jobs that write curated datasets to analytics prefixes, version jobs in source control, monitor job failures that would starve dashboards before council meetings, and apply Lake Formation or IAM controls so department data products remain properly governed.