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Amazon AIP-C01

AWS Certified Generative AI Developer - Professional

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  • Question 21 of 118

    Topic 1: AWS Certified Generative AI Developer - Professional

    Topic 1: AWS Certified Generative AI Developer - Professional

    A company is using Amazon Bedrock to build a customer-facing AI assistant to handle sensitive customer inquiries. The company must use defense-in-depth safety controls to block sophisticated prompt injection attacks. The company must keep audit logs of all safety interventions. The AI assistant must have cross-Region failover capabilities.

    Which solution will meet these requirements?

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  • Question 22 of 118

    Topic 1: AWS Certified Generative AI Developer - Professional

    Topic 1: AWS Certified Generative AI Developer - Professional

    A company is designing a canary deployment strategy for a payment processing API. The system must support automated gradual traffic shifting between multiple Amazon Bedrock models based on real-time inference metrics, historical traffic patterns, and service health. The solution must be able to gradually increase traffic to new model versions. The system must increase traffic if metrics remain healthy and decrease traffic if the performance degrades below acceptable thresholds.

    The company needs to comprehensively monitor inference latency and error rates during the deployment phase. The company must also be able to halt deployments and revert to a previous model version without any manual intervention.

    Which solution will meet these requirements?

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  • Question 23 of 118

    Topic 1: AWS Certified Generative AI Developer - Professional

    Topic 1: AWS Certified Generative AI Developer - Professional

    A financial services company uses an AI application to process financial documents by using Amazon Bedrock. During business hours, the application handles approximately 10,000 requests each hour, which requires consistent throughput.

    The company uses the CreateProvisionedModelThroughput API to purchase provisioned throughput. Amazon CloudWatch metrics show that the provisioned capacity is unused while on-demand requests are being throttled. The company finds the following code in the application:

    python response = bedrock_runtime.invoke_model(modelId="anthropic.claude-v2", body=json.dumps(payload))

    The company needs the application to use the provisioned throughput and to resolve the throttling issues.

    Which solution will meet these requirements?

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  • Question 24 of 118

    Topic 1: AWS Certified Generative AI Developer - Professional

    Topic 1: AWS Certified Generative AI Developer - Professional

    A company is building an AI advisory application by using Amazon Bedrock. The application will provide recommendations to customers. The company needs the application to explain its reasoning process and cite specific sources for data. The application must retrieve information from company data sources and show step-by-step reasoning for recommendations. The application must also link data claims to source documents and maintain response latency under 3 seconds.

    Which solution will meet these requirements with the LEAST operational overhead?

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  • Question 25 of 118

    Topic 1: AWS Certified Generative AI Developer - Professional

    Topic 1: AWS Certified Generative AI Developer - Professional

    A financial services company uses multiple foundation models (FMs) through Amazon Bedrock for its generative AI (GenAI) applications. To comply with a new regulation for GenAI use with sensitive financial data, the company needs a token management solution.

    The token management solution must proactively alert when applications approach model-specific token limits. The solution must also process more than 5,000 requests each minute and maintain token usage metrics to allocate costs across business units.

    Which solution will meet these requirements?

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