Topic 1 Question 73
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?
Use SageMaker built-in algorithms to train the proprietary datasets.
Use SageMaker script mode and premade images for ML frameworks.
Build a container on AWS that includes custom packages and a choice of ML frameworks.
Purchase similar production models through AWS Marketplace.
ユーザの投票
コメント(2)
- 正解だと思う選択肢: B
"Script mode enables you to write custom training and inference code while still utilizing common ML framework containers "
👍 3GiorgioGss2024/11/27 - 正解だと思う選択肢: B
On-premise PyTorch models → SageMaker script mode → Premade PyTorch images → Minimal effort to migrate
👍 1Saransundar2024/12/04
シャッフルモード