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An ML engineer needs to use Amazon SageMaker to fine-tune a large language model (LLM)...

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?

A.

Use SageMaker Studio to fine-tune an LLM that is deployed on Amazon EC2 instances.

B.

Use SageMaker Autopilot to fine-tune an LLM that is deployed by a custom API endpoint.

C.

Use SageMaker Autopilot to fine-tune an LLM that is deployed on Amazon EC2 instances.

D.

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

Amazon Web Services MLA-C01 Summary

  • Vendor: Amazon Web Services
  • Product: MLA-C01
  • Update on: Feb 3, 2026
  • Questions: 207
Price: $52.5  $149.99
Buy Now MLA-C01 PDF + Testing Engine Pack

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