Q94 — AWS AIF-C01 Ch.2

Question 94 of 100 | ← Chapter 2

A financial company has pre-trained its own large language model (LLM) on proprietary data. Which AWS service can the company use to deploy the LLM?

Correct Answer: A. Amazon SageMaker

Explanation

Amazon SageMaker is a fully managed service that supports building, training, and deploying machine learning models. For a financial company that has already pre-trained its own large language model (LLM) on proprietary data, Amazon SageMaker is a suitable choice for deploying that model. Amazon Comprehend is designed for natural language processing tasks such as text analysis and sentiment analysis—not for model deployment. Amazon Bedrock is a secure, managed service for accessing foundation models but does not support custom model deployment. Amazon Lex is intended for building chatbots and voice/text-based interactive interfaces—not for deploying custom LLMs. Therefore, the correct answer is A: Amazon SageMaker.