AWS Certified Generative AI Developer - Professional AIP-C01

By Amazon · Question Mode

QuestionQ33

Testing, Validation, and Troubleshooting

An ecommerce company is building a generative AI (GenAI) solution that uses Amazon Bedrock with Anthropic Claude to recommend products to customers. Customers report that some recommended products are not available for sale on the website or are not relevant to the customer. Customers also report that the solution takes a long time to generate certain recommendations.

The company investigates the issues and determines that most interactions between customers and the product recommendation solution are unique. The company confirms that the solution recommends products that are not in the company's product catalog. The company must resolve these issues.

Which solution will meet this requirement?

Explanation

Amazon Bedrock Knowledge Bases implement retrieval-augmented generation (RAG), which retrieves relevant proprietary catalog data and adds it as context for the model. This grounds recommendations in the available product catalog and improves relevance. Setting the performance configuration latency value to optimized uses the latency-optimized inference option, reducing response time for supported models and inference profiles.

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