A company wants to fine-tune a foundation model (FM) for a specific use case. The company needs to deploy the FM on Amazon Bedrock for internal use. Which solution will meet these requirements?

The correct answer is D. Use Amazon SageMaker AI to customize the FM. Then, import the trained model into Amazon. Amazon SageMaker AI provides full training and fine-tuning capabilities for foundation models using custom data, and the resulting trained model can then be imported and deployed in Amazon Bedrock for internal use.

Submitted by tyler.j· Mar 30, 2026Implementing AI Solutions

Question

Options

ARun responses that have been generated by a pre-trained FM through Amazon Bedrock
BUse Amazon Personalize to customize the FM with custom data.
CUse conversational builder for Amazon Bedrock Agents to create the custom model.
DUse Amazon SageMaker AI to customize the FM. Then, import the trained model into Amazon

How the community answered

(41 responses)

A
5% (2)
B
5% (2)
C
10% (4)
D
80% (33)

Explanation

Amazon SageMaker AI provides full training and fine-tuning capabilities for foundation models using custom data, and the resulting trained model can then be imported and deployed in Amazon Bedrock for internal use.

Topics

#fine-tuning#Amazon SageMaker#custom model import#Amazon Bedrock deployment

Community Discussion

No community discussion yet for this question.

Full AIF-C01 Practice