CSV and JSON datasets are added under S3.
Scan their locations and formats and register tables, columns, and schemas in the Glue Data Catalog.
Which service is most appropriate?
Run an AWS Glue Crawler to classify S3 data and create or update catalog tables, schemas, and partitions.
Detailed explanation
Access Analyzer evaluates permissions rather than discovering data structures.
Access Analyzer evaluates permissions rather than discovering data structures.
Lifecycle manages object retention and does not discover column schemas.
Lifecycle manages object retention and does not discover column schemas.
A crawler scans the data, infers its structure, and registers or updates tables in the Data Catalog.
A crawler scans the data, infers its structure, and registers or updates tables in the Data Catalog.
API audit events do not inspect S3 data or infer its schema.
API audit events do not inspect S3 data or infer its schema.
Check official documentation
Compare the following points with the official documentation.
AWS Glue Crawler、Classifier、Data Catalogの公式説明を確認する。
What to confirm
保存管理・監査・権限分析とメタデータ検出を区別できる。
Key points
- Glue Crawler
- Data Catalog
- Classifier
- Schema discovery
Notes
- Environment: AWS公式DEA-C01試験ガイドと各サービスの公式ドキュメントの確認
- Confirm current AWS service behavior in the official DEA-C01 documentation.
Foundation review
Discovery versus retention
A crawler creates metadata; an S3 lifecycle rule manages object age and storage.
Schema quality
Review inferred types, partitions, and ambiguous files before publishing metadata.