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MLA-C01 · Question #56
MLA-C01 Question #56: Real Exam Question with Answer & Explanation
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ML Model Development
Question
An ML engineer needs to use Amazon SageMaker to fine-tune a large language model (LLM) for text summarization. The ML engineer must follow a low-code no-code (LCNC) approach. Which solution will meet these requirements?
Options
- AUse SageMaker Studio to fine-tune an LLM that is deployed on Amazon EC2 instances.
- BUse SageMaker Autopilot to fine-tune an LLM that is deployed by a custom API endpoint.
- CUse SageMaker Autopilot to fine-tune an LLM that is deployed on Amazon EC2 instances.
- DUse SageMaker Autopilot to fine-tune an LLM that is deployed by SageMaker JumpStart.
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Topics
#SageMaker JumpStart#LLM fine-tuning#Low-Code/No-Code (LCNC)#SageMaker deployment