QuestionQ39

Foundation Model Integration, Data Management, and Compliance

Example Corp operates a personalized video-generation service used by millions of enterprise customers. Customers create marketing videos by submitting prompts to the company’s proprietary generative AI (GenAI) model. To improve output relevance and personalization, Example Corp wants to enrich prompts with customer-specific context, including product preferences, customer attributes, and business history.

The customers have strict data-governance requirements. They must retain full ownership and control of their data. They do not need real-time access; however, semantic accuracy must be high and retrieval latency must stay low to support customer-experience use cases.

Example Corp wants to minimize architectural complexity in its integration pattern. It does not want to deploy and manage services in each customer’s environment unless necessary.

Which solution meets these requirements?

Explanation

Amazon Q Business lets a customer retain and manage its own enterprise-data index while granting a verified independent software vendor controlled cross-account data-accessor permissions. The provider can use the SearchRelevantContent API to retrieve relevant content for prompt augmentation without directly connecting to or indexing every customer data source. Amazon Q supports semantic and hybrid retrieval and applies the customer’s configured access controls.

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