AIP-C01 · Question #84
AIP-C01 Question #84: Real Exam Question with Answer & Explanation
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Question
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?
Options
- AConfigure an Amazon CloudWatch dashboard to display default metrics from Amazon Bedrock
- BCreate the two prompt variants in Amazon Bedrock Prompt Management. Use Amazon Bedrock
- CSet up Amazon SageMaker Clarify to analyze model outputs. Publish fairness metrics to Amazon
- DCreate an Amazon Bedrock model evaluation job to compare fairness between the two prompt
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