MLA-C01 · Question #145
MLA-C01 Question #145: Real Exam Question with Answer & Explanation
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Question
A medical company ingests streams of data from devices that monitor patients' vital signs. The company uses Amazon SageMaker and plans to prepare ML models to predict adverse events for patients. The dataset is large with thousands of features. An ML engineer needs to run several hundred training iterations with different sets of features, different algorithms, and many potential parameters. The ML engineer must implement a solution to log the characteristics and results of each training iteration. Which solution will meet these requirements with the LEAST implementation effort?
Options
- AUse Amazon CloudWatch to create custom metrics for the characteristics of each iteration.
- BWrite the characteristics of each iteration to logs in Amazon S3. Use AWS Glue and Amazon
- CUse the SageMaker Model Registry to track the characteristics and results of each iteration.
- DUse SageMaker Experiments to track the characteristics and results of each iteration.
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