A financial services company wants to adapt a foundation model in Amazon Bedrock so it responds using the company's specific terminology and preferred answer style. They have a curated dataset of about 5,000 high-quality prompt-and-response pairs written by their domain experts. They want the model to learn to produce responses that match these labeled examples. Which Amazon Bedrock customization approach best fits this requirement?