A media company must use Amazon Bedrock to implement a robust governance process for AI-generated content. The company needs to manage hundreds of prompt templates. Multiple teams use the templates across multiple AWS Regions to generate content. The solution must provide version control with approval workflows that include notifications for pending reviews. The solution must also provide detailed audit trails that document prompt activities and consistent prompt parameterization to enforce quality standards.Which solution will meet these requirements?
Answer(s): B
Amazon Bedrock Prompt Management is designed to centrally manage many prompt templates with versioning and consistent parameterization through variables, and it supports multi-team reuse across Regions. AWS CloudTrail provides detailed audit trails of prompt-related API activity, and IAM can enforce who is allowed to create, update, or approve prompt versions.
A company is developing a customer support application that uses Amazon Bedrock foundation models (FMs) to provide real-time AI assistance to the company's employees. The application must display AI-generated responses character by character as the responses are generated. The application needs to support thousands of concurrent users with minimal latency. The responses typically take 15 to 45 seconds to finish.Which solution will meet these requirements?
Answer(s): A
Amazon Bedrock InvokeModelWithResponseStream provides token streaming so the UI can render output as it is generated. An API Gateway WebSocket API maintains a long-lived, low-latency bidirectional connection that can push partial chunks to thousands of concurrent clients over 15-45 second generations without inefficient polling or exposing direct Bedrock access from the browser.
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.)
Answer(s): A,D
Prompt Management lets the company define a reusable prompt template with the four required inputs as variables and enforce a consistent output format, and the flow can reference that template from the prompts node. A Bedrock guardrail with the insults filter set to detect (not block) will flag bullying/insulting content and generate detections/notifications without preventing the response from being returned.
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?
Answer(s): D
A hybrid approach that uses an automated LLM-as-a-judge to evaluate relevance, factual consistency, and hallucinations provides scalable, high-accuracy screening while reducing the need for manual review.Escalating only uncertain or edge cases to humans minimizes review costs. Amazon Bedrock's built-in evaluation capabilities directly measure retrieval precision and hallucination rates for RAG workloads, giving purpose-built metrics with less custom development and operational overhead.
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 toinvoke 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:InvokeModelWithResponseStreamOn resource(s): arn:aws:bedrock:eu-west-3::foundation-model/amazon.nova-pro-v1:0 Context: a service control policy explicitly denies the actionThe 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.)
Answer(s): B,D
Extending the SCP to allow the specific EU cross-Region inference profile for Amazon Nova Pro preserves the existing Control Tower/SCP governance while enabling the intended CRI access path instead of direct regional foundation-model invocation. Ensuring the developer roles are permitted to invoke the Nova Pro EU inference profile in any EU Region that may serve the CRI request prevents failures when Bedrock routes the inference to an eligible EU Region (such as eu-west-3) while keeping the developer entry point constrained to eu-central-1.
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?
Answer(s): C
A single Amazon Bedrock guardrail can enforce multiple policy types with different handling strategies while keeping management simple and reducing false positives. Medium content filters appropriately block harmful content without being overly restrictive, denied topics with clear definitions prevent investment advice, and sensitive information filters can both mask PII in outputs and block sensitive financial data in inputs. Enabling evaluation on both requests and responses ensures end-to-end filtering and supports auditability for compliance.
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 Bedrock Knowledge Base with RAG grounds Claude's recommendations in the company's actual product catalog, which prevents suggesting products that are not available and improves relevance by retrieving only approved catalog items as context. Using the optimized latency performance configuration reduces end-to-end response time, which addresses the slow recommendation experience for largely unique interactions where caching is less effective.
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.)
Answer(s): A,B
Amazon Bedrock AgentCore provides managed, session-aware memory and agent state sharing with built-in identity controls, observability, and support for synchronous and event-driven execution, which avoids building and scaling a custom state layer. Registering Lambda functions and REST APIs as actions that AgentCore can invoke through event and API integrations removes custom orchestration code and scales cleanly as workflows and tools grow.
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question 14 - run terraform import: this is the recommended best practice for bringing manually created or destroyed resources under terraform management. you use terraform import to associate an existing resource with a terraform resource configuration. this ensures that terraform is aware of the resource, and you can subsequently manage it with terraform.
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