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MLA-C01 · Question #152
MLA-C01 Question #152: Real Exam Question with Answer & Explanation
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Deployment and Orchestration of ML Workflows
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?
Options
- AUse SageMaker Training Compiler to train the LLM. Deploy the LLM by using SageMaker real-
- BUse SageMaker with deep learning containers for large model inference to train the LLM. Deploy
- CUse SageMaker Notebook Jobs to train the LLM. Deploy the LLM by using SageMaker
- DUse SageMaker Studio to train the LLM. Deploy the LLM by using SageMaker batch transform.
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Topics
#SageMaker Training Compiler#LLM training#SageMaker real-time inference#Model deployment