AWS Certified Machine Learning Engineer - Associate MLA-C01 — Topic 1 Question 48

Question

An ML engineer is using a training job to fine-tune a deep learning model in Amazon SageMaker Studio. The ML engineer previously used the same pre-trained model with a similar dataset. The ML engineer expects vanishing gradient, underutilized GPU, and overfitting problems. The ML engineer needs to implement a solution to detect these issues and to react in predefined ways when the issues occur. The solution also must provide comprehensive real-time metrics during the training. Which solution will meet these requirements with the LEAST operational overhead?

Accepted Answer

Correct answer: D. The correct answer is D. Option D: Use SageMaker Debugger built-in rules to monitor the training job. Configure the rules to initiate the predefined actions. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service. AWS Config tracks resource configuration changes and evaluates compliance.

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 48