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AWS Certified Machine Learning Engineer - Associate MLA-C01 Actual Exam Questions

▤ 68 Questions◷ 120 Minutes✓ 70% Passing Score▣ Updated: Sep 2026

Question 56 of 68

Single answer
CertylQ 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?
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.
✓
Correct Answer: D

Use SageMaker Autopilot to fine-tune an LLM that is deployed by SageMaker JumpStart.

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Explanation

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About this practice exam

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