Q89 — AWS AIF-C01 Ch.2

Question 89 of 100 | ← Chapter 2

A company wants to deploy, fine-tune, and evaluate pre-trained foundation models (FMs). The company wishes to use popular model hubs such as Hugging Face as its generative AI platform. Which solution meets this requirement with minimal operational overhead?

Correct Answer: B. Amazon SageMaker JumpStart

Explanation

Amazon SageMaker JumpStart is the optimal choice. It provides pre-trained models, built-in algorithms, and pre-built solutions to accelerate generative AI application development. Its tight integration with Hugging Face offers broader access to open-source models, enabling customers to easily discover, deploy, fine-tune, and optimize models for specific use cases. In contrast, Amazon SageMaker Model Registry focuses more on model lifecycle management; Amazon Augmented AI (A2I) is designed for adding human review steps; and Amazon Q is an enterprise-grade generative AI assistant—none of which meet the requirement of deploying, fine-tuning, and evaluating pre-trained foundation models with minimal operational overhead.