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A travel company is building a complex "Vacation Planner" system using Amazon Bedrock Agents multi-agent collaboration:Flight Specialist Agent: Searches flight databases using a Lambda-based action groupHotel Specialist Agent: Searches hotel inventory using an API-based action groupSupervisor Agent: Interacts with the user, breaks down the "Plan a trip to Paris" request, delegates sub-tasks to the specialist agents, and aggregates their findings into a final itineraryThe developer needs to optimize the system to reduce latency for simple, single-domain queries (like "Find me a hotel in Paris") while maintaining the ability to handle complex multi-step requests (like "Plan a complete 5-day vacation to Paris").Which collaboration mode configuration meets this requirement?
An aerospace engineering firm is developing a RAG (Retrieval Augmented Generation) application that allows mechanics to query thousands of technical maintenance manuals. To meet strict aviation safety regulations, the application requires full traceability for every answer generated:Source Attribution: Every response generated by the model must explicitly cite the specific manual ID and version number it originated from.Data Governance: All valid maintenance datasets must be centrally registered and version-controlled.Auditability: Access to the underlying data files during the retrieval process must be logged for compliance audits.Which implementation strategy satisfies these requirements?
A financial analyst uses an internal GenAI tool to extract data from quarterly earnings PDFs into a standardized JSON format. The application is reporting frequent ValidationError exceptions in the backend. Upon investigation, the developer notices that for certain complex PDFs, the model either omits required fields or outputs the data as a Markdown table instead of JSON, despite the system prompt instructions.Which troubleshooting and remediation workflow should the developer implement to resolve these prompt maintenance issues and prevent recurrence?
A media streaming company currently runs a self-managed vector database on Amazon EC2 instances for their content recommendation system. The database stores 150 million video embeddings and handles approximately 50,000 similarity searches per day during peak hours, with search activity dropping to near zero during off-peak nights.The infrastructure team spends significant time managing database scaling, performing backups, applying security patches, and monitoring cluster health. Monthly costs include $8,000 for always-on EC2 instances plus operational overhead. The CTO wants to reduce infrastructure management burden and optimize costs for the variable workload pattern.Which migration strategy addresses these requirements MOST cost-effectively?
A development team is building a serverless application where AWS Lambda functions need to invoke Amazon Bedrock foundation models to generate product descriptions. The security team requires that the Lambda functions follow the principle of least privilege when accessing AWS services.Which approach should the developer implement to grant the Lambda function access to Amazon Bedrock?
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