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AWS Certified AI Practitioner AIF-C01 Practice Question

In a knowledge-base configuration that uses Retrieval-Augmented Generation (RAG) with Amazon Bedrock, what happens immediately after the customer query is embedded and matched against a vector database?

  • The retrieved document snippets are appended to the prompt sent to the foundation model.

  • The foundation model is retrained on the retrieved documents to update its weights.

  • The entire knowledge base is re-indexed to generate new embeddings.

  • Top-p sampling parameters are adjusted to reduce response randomness.

AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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