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MLS-C01 · Question #328
MLS-C01 Question #328: Real Exam Question with Answer & Explanation
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Machine Learning Implementation and Operations
Question
A machine learning (ML) specialist is using the Amazon SageMaker DeepAR forecasting algorithm to train a model on CPU-based Amazon EC2 On-Demand instances. The model currently takes multiple hours to train. The ML specialist wants to decrease the training time of the model. Which approaches will meet this requirement? (Choose two.)
Options
- AReplace On-Demand Instances with Spot Instances.
- BConfigure model auto scaling dynamically to adjust the number of instances automatically.
- CReplace CPU-based EC2 instances with GPU-based EC2 instances.
- DUse multiple training instances.
- EUse a pre-trained version of the model. Run incremental training.
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Topics
#SageMaker Training#Performance Optimization#Distributed Training#GPU Acceleration