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A retail company has a generative AI (GenAI) product recommendation application that uses Amazon Bedrock. The application suggests products to customers based on browsing history and demographics. The company needs to implement fairness evaluation across multiple demographic groups to detect and measure bias in recommendations between two prompt approaches. The company wants to collect and monitor fairness metrics in real time. The company must receive an alert if the fairness metrics show a discrepancy of more than 15% between demographic groups. The company must receive weekly reports that compare the performance of the two prompt approaches. Which solution will meet these requirements with the LEAST custom development effort? 一家零售公司有一个使用 Amazon Bedrock 的生成式 AI（GenAI）产品推荐应用程序。该应用程序会根据浏览历史和人口统计信息向客户推荐产品。公司需要在多个不同的人口统计群体之间实施公平性评估，以检测并衡量在两个提示词（prompt）方案之间的推荐偏差。公司希望实时收集并监控公平性指标。如果公平性指标显示不同人口统计群体之间的差异超过 15%，公司必须收到告警。公司必须每周收到报告，用于比较两个提示词方案的性能。哪个解决方案能够以最少的自定义开发工作满足这些要求？

A company has deployed an AI assistant as a React application that uses AWS Amplify, an AWS AppSync GraphQL API, and Amazon Bedrock Knowledge Bases. The application uses the GraphQL API to call the Amazon Bedrock RetrieveAndGenerate API for knowledge base interactions. The company configures an AWS Lambda resolver to use the RequestResponse invocation type. Application users report frequent timeouts and slow response times. Users report these problems more frequently for complex questions that require longer processing. The company needs a solution to fix these performance issues and enhance the user experience. Which solution will meet these requirements? 一家公司已将一个 AI 助手部署为一个 React 应用程序，该应用程序使用 AWS Amplify、一个 AWS AppSync GraphQL API 和 Amazon Bedrock Knowledge Bases。该应用程序使用 GraphQL API 调用 Amazon Bedrock RetrieveAndGenerate API 来进行知识库交互。该公司将一个 AWS Lambda 解析器设置为使用 RequestResponse 调用类型。应用程序用户报告频繁超时和响应时间缓慢。对于需要更长处理时间的复杂问题，用户更经常报告这些问题。公司需要一个解决方案来修复这些性能问题并提升用户体验。哪个解决方案将满足这些要求？

An ecommerce company operates a global product recommendation system that needs to switch between multiple foundation models (FM) in Amazon Bedrock based on regulations, cost optimization, and performance requirements. The company must apply custom controls based on proprietary business logic, including dynamic cost thresholds, AWS Region-specific compliance rules, and real-time A/B testing across multiple FMs. The system must be able to switch between FMs without deploying new code. The system must route user requests based on complex rules including user tier, transaction value, regulatory zone, and real-time cost metrics that change hourly and require immediate propagation across thousands of concurrent requests. Which solution will meet these requirements? 一家电商公司运营着一个全球产品推荐系统，需要根据法规、成本优化和性能要求，在 Amazon Bedrock 中的多个基础模型（FM）之间进行切换。公司必须基于专有业务逻辑应用自定义控制，包括动态成本阈值、特定 AWS 区域的合规规则，以及跨多个 FM 的实时 A/B 测试。系统必须能够在不部署新代码的情况下在 FM 之间切换。系统必须根据复杂规则对用户请求进行路由，这些规则包括用户分级、交易价值、监管区域，以及每小时变化并需要在数千个并发请求之间立即传播的实时成本指标。哪个解决方案将满足这些要求？

A company is developing an internal generative AI (GenAI) assistant that uses Amazon Bedrock to summarize corporate documents for multiple business units. The GenAI assistant must generate responses in a consistent format that includes a document summary, classification of business risks, and terms that are flagged for review. The GenAI assistant must adapt the tone of responses for each user's business unit, such as legal, human resources, or finance. The GenAI assistant must block hate speech, inappropriate topics, and sensitive information such as personal health information. The company needs a solution to centrally manage prompt variants across business units and teams. The company wants to minimize ongoing orchestration efforts and maintenance for post-processing logic. The company also wants to have the ability to adjust content moderation criteria for the GenAI assistant over time. Which solution will meet these requirements with the LEAST maintenance overhead? 一家公司正在开发一个内部生成式 AI（GenAI）助手，该助手使用 Amazon Bedrock 为多个业务部门汇总企业文档。GenAI 助手必须以一致的格式生成响应，其中包括文档摘要、业务风险分类以及标记为需要审核的术语。GenAI 助手必须为每个用户的业务部门（例如法务、人力资源或财务）调整响应的语气。GenAI 助手必须屏蔽仇恨言论、不当话题以及敏感信息（例如个人健康信息）。公司需要一个解决方案来集中管理跨业务部门和团队的提示词变体。公司希望尽可能减少持续的编排工作以及用于后处理逻辑的维护。公司还希望能够随着时间推移调整 GenAI 助手的内容审核标准。哪个解决方案能以最少的维护开销满足这些要求？

A financial services company is building a customer support application that retrieves relevant financial regulation documents from a database based on semantic similarities to user queries. The application must integrate with Amazon Bedrock to generate responses. The application must be able to search documents that are in English, Spanish, and Portuguese. The application must filter documents by metadata such as publication date, regulatory agency, and document type. The database stores approximately 10 million document embeddings. To minimize operational overhead, the company wants a solution that minimizes management and maintenance effort. The application must provide low-latency responses for real-time customer interactions. Which solution will meet these requirements? 一家金融服务公司正在构建一个客户支持应用程序，该应用程序会基于与用户查询的语义相似性，从数据库中检索相关的金融监管文件。该应用程序必须与 Amazon Bedrock 集成以生成响应。该应用程序必须能够搜索英文、西班牙文和葡萄牙文的文档。该应用程序必须按发布日期、监管机构和文档类型等元数据筛选文档。该数据库存储大约 1,000 万个文档嵌入。为尽量减少运维开销，该公司希望采用一个可将管理和维护工作量降至最低的解决方案。该应用程序必须为实时客户交互提供低延迟响应。哪个解决方案将满足这些要求？

A medical company is building a generative AI (GenAI) application that uses RAG to provide evidence-based medical information. The application uses Amazon OpenSearch Service to retrieve vector embeddings. Users report that searches frequently miss results that contain exact medical terms and acronyms and return too many semantically similar but irrelevant documents. The company needs to improve retrieval quality and maintain low end user latency, even as the document collection grows to millions of documents. Which solution will meet these requirements with the LEAST operational overhead? 一家医疗公司正在构建一个使用 RAG 的生成式 AI（GenAI）应用程序，以提供基于证据的医疗信息。该应用程序使用 Amazon OpenSearch Service 来检索向量嵌入。用户报告称，搜索经常遗漏包含精确医疗术语和缩写词的结果，且返回过多语义相似但不相关的文档。公司需要在文档集合增长到数百万份文档时，仍能提升检索质量并保持较低的终端用户延迟。哪个解决方案能以最少的运维开销满足这些要求？

A data scientist needs to evaluate multiple generative AI (GenAI) models to build a customer service chatbot. The evaluation must measure performance, accuracy, and toxicity for three different foundation models (FM). The models will be evaluated based on a specific prompt template. The models must use a common set of questions that are provided in a file. The data scientist needs to summarize the results in a report. Which solution will meet these requirements with the LEAST effort? 一位数据科学家需要评估多个生成式 AI（GenAI）模型来构建客户服务聊天机器人。评估必须衡量三个不同基础模型（FM）的性能、准确性和毒性。这些模型将基于特定的提示词模板进行评估。模型必须使用文件中提供的一组公共问题。数据科学家需要将结果汇总到报告中。哪个解决方案能以最少的精力满足这些要求？

A developer wants to use Amazon Bedrock to build a custom application that provides automated customer support. The application must process customer inquiries, retrieve relevant information from a knowledge base, and generate helpful responses. The developer wants to use an agent-based architecture to manage the complex interaction between the foundation model (FM), the knowledge base, and external APIs. Which Amazon Bedrock feature will meet these requirements with the LEAST custom development effort? 一位开发人员想要使用 Amazon Bedrock 构建一个提供自动化客户支持的自定义应用程序。该应用程序必须处理客户查询，从知识库中检索相关信息，并生成有用的响应。开发人员想要使用基于代理的架构来管理基础模型（FM）、知识库和外部 API 之间的复杂交互。哪个 Amazon Bedrock 功能能以最少的自定义开发工作满足这些要求？

A company has an application that uses Amazon Bedrock for text summarization. The company wants to compare the performance of two versions of a prompt. The company wants to use a human-based evaluation process to measure the quality, accuracy, and conciseness of the summaries. Which feature of Amazon Bedrock will meet these requirements with the LEAST effort? 一家公司有一个使用 Amazon Bedrock 进行文本摘要的应用程序。该公司想要比较两个版本的提示词的性能。该公司想要使用基于人工的评估过程来衡量摘要的质量、准确性和简洁性。Amazon Bedrock 的哪个功能能以最少的精力满足这些要求？

A healthcare company is using Amazon Bedrock to build a Retrieval Augmented Generation (RAG) application that helps practitioners make clinical decisions. The application must achieve high accuracy for patient information retrievals, identify hallucinations in generated content, and reduce human review costs. Which solution will meet these requirements?

A financial services company is developing a customer service AI assistant by using Amazon Bedrock. The AI assistant must not discuss investment advice with users. The AI assistant must block harmful content, mask personally identifiable information (PII), and maintain audit trails for compliance reporting. The AI assistant must apply content filtering to both user inputs and model responses based on content sensitivity. The company requires an Amazon Bedrock guardrail configuration that will effectively enforce policies with minimal false positives. The solution must provide multiple handling strategies for multiple types of sensitive content. Which solution will meet these requirements?

An ecommerce company is developing a generative AI (GenAI) solution that uses Amazon Bedrock with Anthropic Claude to recommend products to customers. Customers report that some of the recommended products are not available for sale on the website or are not relevant to the customer. Customers also report that the solutions takes a long time to generate some recommendations. The company investigates the issues and finds that most interactions between customers and the product recommendation solution are unique. The company confirms that the solutions recommends products that are not in the company's product catalog. The company must resolve these issues. Which solution will meet this requirement?

A financial services company is developing a Retrieval Augmented Generation (RAG) application to help investment analysts query complex financial relationships across multiple investment vehicles, market sectors, and regulatory environments. The dataset contains highly interconnected entities that have multi-hop relationships. The analysts must be able to examine the relationships holistically to provide accurate investment guidance. The application must deliver comprehensive answers that capture indirect relationships between financial entities. The application must produce responses in less than 3 seconds. Which solution will meet these requirements with the LEAST operational overhead?

A healthcare company uses Amazon Bedrock to deploy an application that generates summaries of clinical documents. The application experiences inconsistent response quality with occasional factual hallucinations. Monthly costs exceed the company's projections by 40%. A GenAI developer must implement a near real-time monitoring solution to detect hallucinations, identify abnormal token consumption, and provide early warnings of cost anomalies. The solution must require minimal custom development work and maintenance overhead. Which solution will meet these requirements?

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?

A financial services company needs to build a document analysis system that uses Amazon Bedrock to process quarterly reports. The system must analyze financial data, perform sentiment analysis, and validate compliance across batches of reports. Each batch contains 5 reports. Each report requires multiple foundation model (FM) calls. The solution must finish the analysis within 10 seconds for each batch. Current sequential processing takes 45 seconds for each batch. Which solution will meet these requirements? 10

A finance company is developing an AI assistant to help clients plan investments and manage their portfolios. The company identifies several high-risk conversation patterns such as requests for specific stock recommendations or guaranteed returns. High-risk conversation patterns could lead to regulatory violations if the company cannot implement appropriate controls. The company must ensure that the AI assistant does not provide inappropriate financial advice, generate content about competitors, or make claims that are not factually grounded in the company's approved financial guidance. The company wants to use Amazon Bedrock Guardrails to implement a solution. Which combination of steps will meet these requirements? (Choose three.) 一家金融公司正在开发一款 AI 助手，以帮助客户规划投资并管理其投资组合。该公司识别出若干高风险对话模式，例如请求具体的股票推荐或保证回报。如果公司无法实施适当的控制，高风险对话模式可能会导致监管违规。公司必须确保 AI 助手不会提供不恰当的金融建议、生成关于竞争对手的内容，或做出未以公司已批准的金融指引为事实依据的声明。公司希望使用 Amazon Bedrock Guardrails 来实施解决方案。以下哪三个步骤组合可以满足这些要求？

A company is using Amazon Bedrock to design an application to help researchers apply for grants. The application is based on an Amazon Nova Pro foundation model (FM). The application contains four required inputs and must provide responses in a consistent text format. The company wants to receive a notification in Amazon Bedrock if a response contains bullying language. However, the company does not want to block all flagged responses. The company creates an Amazon Bedrock flow that takes an input prompt and sends it to the Amazon Nova Pro FM. The Amazon Nova Pro FM provides a response. Which additional steps must the company take to meet these requirements? (Choose two.) （FM）。

Company configures a landing zone in AWS Control Tower. The company handles sensitive data that must remain within the European Union. The company must use only the eu-central-1 Region. The company uses SCPs to enforce data residency policies. GenAI developers at the company are assigned IAM roles that have full permissions for Amazon Bedrock. The company must ensure that GenAI developers can use the Amazon Nova Pro model through Amazon Bedrock only by using cross-Region inference (CRI) and only in eu-central-1. The company enables model access for the GenAI developer IAM roles in Amazon Bedrock. However, when a GenAI developer attempts to invoke the model through the Amazon Bedrock Chat/Text playground, the GenAI developer receives the following error. User: arn:aws:sts::123456789012:assumed-role/AssumedDevRole/DevUserName Action: bedrock:InvokeModelWithResponseStream On resource(s): arn:aws:bedrock:eu-west-3::foundation-model/amazon.nova-pro-v1:0 Context: a service control policy explicitly denies the action The company needs a solution to resolve the error. The solution must retain the company's existing governance controls and must provide precise access control. The solution must comply with the company's existing data residency policies. Which combination of solutions will meet these requirements? (Choose two.) Pro Amazon Bedrock Chat/Text

A company is using AWS Lambda and REST APIs to build a reasoning agent to automate support workflows. The system must preserve memory across interactions, share the relevant agent state, and support event-driven invocation and synchronous invocation. The system must also enforce access control and session-based permissions. Which combination of steps provides the MOST scalable solution? (Choose two.)

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