Crucial Exams

AWS Certified AI Practitioner AIF-C01 Practice Question

Within Amazon Bedrock, which statement best describes how Retrieval Augmented Generation (RAG) works when building a knowledge-base chatbot?

  • The application retrains all model parameters on company documents before every inference request to guarantee domain knowledge.

  • The application retrieves relevant text fragments from a vector store, adds them to the user's prompt, and sends the expanded prompt to a foundation model for response generation.

  • After the model answers, the response is saved to Amazon S3 and later indexed by Amazon OpenSearch Service for future searches.

  • The application only adjusts temperature and top-p settings to influence creativity, without consulting any external data sources.

AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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