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

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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 73 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01
Question #: 73
Topic #: 1
[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

A company is running ML models on premises by using custom Python scripts and proprietary datasets. The company is using PyTorch. The model building requires unique domain knowledge. The company needs to move the models to AWS.
Which solution will meet these requirements with the LEAST effort?

  • A. Use SageMaker built-in algorithms to train the proprietary datasets.
  • B. Use SageMaker script mode and premade images for ML frameworks.
  • C. Build a container on AWS that includes custom packages and a choice of ML frameworks.
  • D. Purchase similar production models through AWS Marketplace.
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Suggested Answer: B 🗳️
by GiorgioGss at Nov. 28, 2024, 8:53 a.m.
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Saransundar
2 months, 4 weeks ago
Selected Answer: B
On-premise PyTorch models → SageMaker script mode → Premade PyTorch images → Minimal effort to migrate
upvoted 1 times
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GiorgioGss
3 months ago
Selected Answer: B
https://aws.amazon.com/blogs/machine-learning/bring-your-own-model-with-amazon-sagemaker-script-mode/ "Script mode enables you to write custom training and inference code while still utilizing common ML framework containers "
upvoted 3 times
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