Amazon
MLS-C01 · Question #231
An ecommerce company wants to train a large image classification model with 10,000 classes. The company runs multiple model training iterations and needs to minimize operational overhead and cost. The
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Machine Learning Implementation and Operations
Question
An ecommerce company wants to train a large image classification model with 10,000 classes. The company runs multiple model training iterations and needs to minimize operational overhead and cost. The company also needs to avoid loss of work and model retraining. Which solution will meet these requirements?
Options
- ACreate the training jobs as AWS Batch jobs that use Amazon EC2 Spot Instances in a managed
- BUse Amazon EC2 Spot Instances to run the training jobs. Use a Spot Instance interruption notice
- CUse AWS Lambda to run the training jobs. Save model weights to Amazon S3.
- DUse managed spot training in Amazon SageMaker. Launch the training jobs with checkpointing
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Topics
#SageMaker Managed Spot Training#ML Training Checkpointing#Cost Optimization#Operational Overhead Reduction