A specialty coffee company has a mobile app that generates personalized coffee roast profiles by...

Amazon Web Services AIP-C01 Question Answer

A specialty coffee company has a mobile app that generates personalized coffee roast profiles by usingAmazon Bedrockwith a three-stage prompt chain. The prompt chain converts user inputs into structured metadata, retrieves relevant logs for coffee roasts, and generates a personalized roast recommendation for each customer.

Users in multiple AWS Regions report inconsistent roast recommendations for identical inputs, slow inference during the retrieval step, and unsafe recommendations such as brewing at excessively high temperatures. The company must improve the stability of outputs for repeated inputs. The company must also improve app performance and the safety of the app’s outputs. The updated solution must ensure 99.5% output consistency for identical inputs and achieve inference latency of less than 1 second. The solution must also block unsafe or hallucinated recommendations by using validated safety controls.

Which solution will meet these requirements?

Deploy Amazon Bedrock with provisioned throughput to stabilize inference latency. Apply Amazon Bedrock guardrails with semantic denial rules to block unsafe outputs. UseAmazon Bedrock Prompt Managementto manage prompts by using approval workflows.

UseAmazon Bedrock Agentsto manage chaining. Log model inputs and outputs toAmazon CloudWatch Logs. Use logs from CloudWatch to perform A/B testing for prompt versions.

Cache prompt results inAmazon ElastiCache. Use AWS Lambda functions to pre-process metadata and to trace end-to-end latency. UseAWS X-Rayto identify and remediate performance bottlenecks.

UseAmazon Kendrato improve roast log retrieval accuracy. Store normalized prompt metadata within Amazon DynamoDB. Use AWS Step Functions to orchestrate multi-step prompts.

Explanation:

OptionAis the only choice that simultaneously addresses all three requirements: (1) higher output consistency for identical inputs, (2) sub-1-second performance, and (3) validated safety controls that block unsafe or hallucinated recommendations.

Provisioned throughput in Amazon Bedrock reserves capacity for the chosen model, which helps stabilize latency and reduces the chance of throttling or variable response times across Regions. This is important for a mobile app with strict latency goals and users distributed across multiple Regions. While provisioned throughput primarily improves performance predictability, it also reduces variability caused by contention during peak demand.

Amazon Bedrock guardrails provide validated safety controls to filter or block unsafe content. Semantic denial rules are appropriate for preventing dangerous brewing guidance (for example, excessively high temperatures) and for reducing hallucinated instructions that violate safety policies. Guardrails can be enforced consistently regardless of prompt-chain complexity, providing a uniform safety layer around the model outputs.

Amazon Bedrock Prompt Management supports controlled prompt versioning and approval workflows. By standardizing prompts, controlling changes, and ensuring the same prompt version is used for identical inputs, the company improves output stability and reduces drift caused by unmanaged prompt edits. Combined with strict configuration control (including fixed inference parameters such as temperature where appropriate), this improves repeatability and increases the likelihood of achieving the 99.5% consistency target.

Option B improves observability and experimentation but does not provide strong safety enforcement or latency stabilization. Option C improves performance through caching and tracing but does not provide validated safety controls and does not directly address cross-Region output consistency. Option D may improve retrieval but does not enforce safety controls or ensure repeatable outputs.

Therefore, OptionAbest meets the stability, performance, and safety requirements using AWS-native controls.

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Amazon Web Services AIP-C01 Summary

Vendor: Amazon Web Services
Product: AIP-C01
Update on: Feb 22, 2026
Questions: 107

Price: $52.5 ~~$149.99~~

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A specialty coffee company has a mobile app that generates personalized coffee roast profiles by...

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