AWS Certified Machine Learning Engineer – Associate (MLA-C01) — Question 37

A company wants to improve the sustainability of its ML operations.
Which actions will reduce the energy usage and computational resources that are associated with the company's training jobs? (Choose two.)

Answer options

• A. Use Amazon SageMaker Debugger to stop training jobs when non-converging conditions are detected.
• B. Use Amazon SageMaker Ground Truth for data labeling.
• C. Deploy models by using AWS Lambda functions.
• D. Use AWS Trainium instances for training.
• E. Use PyTorch or TensorFlow with the distributed training option.

Correct answer: A, D

Explanation

Option A is correct because Amazon SageMaker Debugger can identify and stop training jobs that are not converging, thus saving energy and resources. Option D is also correct as AWS Trainium instances are designed to be more energy-efficient for training machine learning models. Options B, C, and E do not directly contribute to reducing energy usage during training jobs.