DEA-C01 Question 192
Single answerYour company uses AWS Glue as a data integration service. The team has recently onboarded multiple data sources into the AWS ecosystem, such as Amazon S3 buckets, RDS databases, and DynamoDB tables. They need a unified way to discover, organize, and query metadata for these diverse data sources. Which feature of AWS Glue should they use to achieve this?
- A
AWS Glue Data Catalog
- B
AWS Glue Crawlers
- C
AWS Glue ETL Jobs
- D
AWS Glue Studio
Show answer and explanation
Correct answer: A
Explanation
The AWS Glue Data Catalog serves as a metadata repository that allows users to catalog and query metadata from various data sources. In this scenario, the team needs to manage and query metadata across Amazon S3, RDS, and DynamoDB, which is exactly what the AWS Glue Data Catalog is designed for. Other AWS Glue features, such as Crawlers or ETL Jobs, serve different purposes and are not suited for metadata organization and discovery.
- A. Correct.
The AWS Glue Data Catalog is a centralized metadata repository that stores and organizes metadata for various data sources. It is specifically designed for data discovery and querying, making it the most appropriate choice in this scenario.
- B. Incorrect.
AWS Glue Crawlers are used to automatically infer the schema and populate tables in the Data Catalog, but they are not the unified storage or interface for metadata itself.
- C. Incorrect.
AWS Glue ETL Jobs are designed for transforming and moving data between sources, not for organizing or querying metadata.
- D. Incorrect.
AWS Glue Studio is a graphical interface for creating, managing, and running ETL jobs. It is unrelated to metadata organization and discovery.