AI Safety, Security, and Governance II
Explore advanced AI safety security and governance strategies to design compliant and auditable GenAI solutions on AWS. Understand how to implement data lineage tracking, model documentation, and transparency for regulated environments using key AWS tools and services.
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Question 43
A financial advisory firm is building a regulated GenAI chatbot using Amazon Bedrock to provide investment insights based on internal research documents. For compliance and audit readiness, the firm must track how data flows from source documents through the RAG pipeline and into foundation model responses. Auditors must be able to trace outputs back to their originating datasets.
Which solution best enables end-to-end data lineage tracking with minimal custom development?
A. Register source datasets in AWS Glue Data Catalog and use metadata tagging to associate documents with downstream RAG components.
B. Store all source documents ...