AWS Certified Machine Learning Engineer - Associate MLA-C01 — Topic 1 Question 140

Question

A company is training a large language model (LLM) by using on-premises infrastructure. A live conversational engine uses the LLM to help customers find real-time insights in credit card data. An ML engineer must implement a solution to train and deploy the LLM on Amazon SageMaker. Which solution will meet these requirements?

Accepted Answer

Correct answer: B. The correct answer is B. Option B: Use SageMaker with deep learning containers for large model inference to train the LLM. Deploy the LLM by using SageMaker real-time inference. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service. This option meets the real-time / low-latency performance requirement.

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 140