AIP-C01 · Question #22
A company is building a generative AI (GenAI) application that produces content based on a variety of internal and external data sources. The company wants to ensure that the generated output is…
The correct answer is D. Use AWS Glue Data Catalog to register all data sources. Apply metadata tags to attribute data. Option D is the correct solution because it directly satisfies all three core requirements: data source registration, metadata-based attribution, and end-to-end audit logging, while remaining service-agnostic and scalable across internal and external data sources. The AWS Glue…
Question
A company is building a generative AI (GenAI) application that produces content based on a variety of internal and external data sources. The company wants to ensure that the generated output is fully traceable. The application must support data source registration and enable metadata tagging to attribute content to its original source. The application must also maintain audit logs of data access and usage throughout the pipeline. Which solution will meet these requirements?
Options
- AUse AWS Lake Formation to catalog data sources and control access. Apply metadata tags
- BUse AWS Glue Data Catalog to register and tag data sources. Use Amazon CloudWatch Logs to
- CStore data in Amazon S3 and use object tagging for attribution. Use AWS Glue Data Catalog to
- DUse AWS Glue Data Catalog to register all data sources. Apply metadata tags to attribute data
How the community answered
(58 responses)- A2% (1)
- B5% (3)
- C12% (7)
- D81% (47)
Explanation
Option D is the correct solution because it directly satisfies all three core requirements: data source registration, metadata-based attribution, and end-to-end audit logging, while remaining service-agnostic and scalable across internal and external data sources. The AWS Glue Data Catalog is the AWS-native service for registering datasets and managing metadata centrally. It supports structured registration of diverse data sources and enables consistent tagging that can be used to attribute generated content back to its original source. This is essential for GenAI applications that combine multiple datasets and must provide traceability Metadata tags applied within the Glue Data Catalog ensure a consistent attribution framework that downstream systems--such as Retrieval Augmented Generation (RAG) pipelines or evaluation systems--can reference without embedding attribution logic directly in application code. This improves maintainability and governance. AWS CloudTrail provides immutable audit logs of API activity across AWS services, including data access, metadata changes, and pipeline interactions. CloudTrail logs are critical for compliance and regulatory review because they capture who accessed which data, when, and through which service. This satisfies the requirement to maintain audit logs "throughout the pipeline," not just at storage or application layers.
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