A company needs to set up a data catalog and metadata management for data sources that run in the AWS Cloud. The company will use the data catalog to maintain the metadata of all the objects that are

Using Amazon Aurora as a custom data catalog with AWS Lambda functions requires significant development effort to build and maintain the catalog and schema detection logic, leading to high operational overhead.

The AWS Glue Data Catalog is a fully managed, central metadata repository that works seamlessly with AWS Glue crawlers to automatically discover schemas, update metadata regularly, and detect changes across structured and semi-structured data sources in AWS, providing the least operational overhead.

Using Amazon DynamoDB as a custom data catalog with AWS Lambda functions requires significant development effort for schema definition, metadata extraction, and maintenance, resulting in high operational overhead.

While the AWS Glue Data Catalog is correct, merely stating "Extract the schema for metadata" is less specific and implies potentially manual or custom methods, whereas AWS Glue crawlers (as mentioned in option B) are the managed, low-overhead solution for automatic schema discovery and updates.