AWS Certified AI Practitioner AIF-C01 Practice Question

A company is building a customer support chatbot on Amazon Bedrock. The bot must answer questions using the company's 1 TB product manual stored in Amazon S3, but the team wants to avoid the cost of model fine-tuning. Which approach best meets the requirement?

  • Pre-train a new foundation model from scratch by using the product manuals as the training corpus before deploying it in Bedrock.

  • Fine-tune the selected foundation model in Bedrock by uploading the manuals so the information is permanently written into the model weights.

  • Configure an Amazon Bedrock knowledge base to retrieve relevant passages at runtime and inject them into the prompt (Retrieval Augmented Generation).

  • Increase the model's temperature parameter so it can generate answers that reference the manuals without needing additional data sources.

AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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