A company has a centralized AI team managing Bedrock models in Account A. Three development teams in Accounts B, C, and D need access to a specific Claude Sonnet model with provisioned throughput for their applications. The solution must ensure that these accounts can ONLY invoke this specific model and cannot access any other Bedrock models or features in Account A. The solution must also allow the central AI team to monitor usage and apply guardrails centrally without requiring changes in the development accounts.Which solution meets ALL these requirements?

A media company is building a content recommendation engine that uses Amazon Bedrock embeddings to find similar articles based on semantic meaning. They need a fully managed vector database that can efficiently perform k-nearest neighbor (k-NN) searches across millions of article embeddings. The team wants a service that integrates natively with their existing search infrastructure and supports both keyword and vector search.Which AWS service should the team use as their vector database?

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?

A biotechnology company has fine-tuned an open-source LLaMA model on their proprietary research dataset to generate scientific hypotheses. They need to deploy this custom model to a production endpoint where it can be invoked by their research application. The team requires control over the instance type (GPU-optimized) and auto-scaling policies.Which AWS service should they use to deploy and host their custom fine-tuned model?

A financial services firm processes thousands of unstructured PDF earnings reports daily. The engineering team uses Anthropic Claude 4.5 Sonnet on Amazon Bedrock to extract specific Key Performance Indicators (KPIs) and populate a downstream SQL database.Users have reported that while the model handles narrative text well, it consistently hallucinates values when processing financial tables that span multiple pages or contain complex nested headers. The raw text ingested from the OCR pipeline often arrives with broken formatting, missing whitespace, and merged columns.Which strategy should the GenAI Developer implement to enhance the input data quality and resolve the extraction errors?