MLS-C01 · Question #14
A Machine Learning team uses Amazon SageMaker to train an Apache MXNet handwritten digit classifier model using a research dataset. The team wants to receive a notification when the model is overfitti
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Question
A Machine Learning team uses Amazon SageMaker to train an Apache MXNet handwritten digit classifier model using a research dataset. The team wants to receive a notification when the model is overfitting. Auditors want to view the Amazon SageMaker log activity report to ensure there are no unauthorized API calls. What should the Machine Learning team do to address the requirements with the least amount of code and fewest steps?
Options
- AImplement an AWS Lambda function to log Amazon SageMaker API calls to Amazon S3. Add
- BUse AWS CloudTrail to log Amazon SageMaker API calls to Amazon S3. Add code to push a
- CImplement an AWS Lambda function to log Amazon SageMaker API calls to AWS CloudTrail.
- DUse AWS CloudTrail to log Amazon SageMaker API calls to Amazon S3. Set up Amazon SNS to
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