Amazon Web Services AWS Certified AI Practitioner AIF-C01 Question # 32 Topic 4 Discussion
AIF-C01 Exam Topic 4 Question 32 Discussion:
Question #: 32
Topic #: 4
A company has a generative AI application that uses a pre-trained foundation model (FM) on Amazon Bedrock. The company wants the FM to include more context by using company information.
Which solution meets these requirements MOST cost-effectively?
Amazon Bedrock Knowledge Bases enable Retrieval Augmented Generation (RAG) by letting you connect external company data sources to your foundation model in a serverless, cost-effective manner—without retraining or fine-tuning. This allows the model to answer questions and generate content grounded in your own documents or data.
A is correct:
“Knowledge Bases for Amazon Bedrock enable generative AI applications to retrieve and include your company’s information for more contextual responses, without the need for expensive retraining or custom models.”
(Reference: Amazon Bedrock Knowledge Bases)
B is not cost-effective or guaranteed to add your company’s context.
C (Agents) are for orchestrating workflows, not specifically RAG/context.
D (Custom model deployment) is costly and unnecessary for just adding context.
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