Q99 — AWS AIF-C01 Ch.2

Question 99 of 100 | ← Chapter 2

A company wants to enhance the capabilities of a foundation model (FM) on Amazon Bedrock for the healthcare domain. The company possesses unlabeled clinical diagnosis data that does not contain personally identifiable information (PII). Which solution satisfies these requirements?

• A. Continued Pre-training ✓
• B. Fine-tuning
• C. Prompt Engineering
• D. Implementing an Amazon Bedrock Agent

Correct Answer: A. Continued Pre-training

Explanation

As described, the company aims to improve a foundation model’s performance in healthcare using unlabeled clinical diagnosis data (without PII). Amazon Bedrock supports continued pre-training using customers’ unlabeled data to enhance model performance in specific domains. Continued pre-training leverages unlabeled data to further train the model, helping it better adapt to domain-specific patterns and thereby improving accuracy and generalization. Therefore, option A, 'Continued Pre-training', is the solution that meets the company’s requirements.