A Machine Learning Team Uses Amazon SageMaker to Train an Apache

question 101

Multiple Choice

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?

• A) Implement an AWS Lambda function to log Amazon SageMaker API calls to Amazon S3. Add code to push a custom metric to Amazon CloudWatch. Create an alarm in CloudWatch with Amazon SNS to receive a notification when the model is overfitting.
• B) Use AWS CloudTrail to log Amazon SageMaker API calls to Amazon S3. Add code to push a custom metric to Amazon CloudWatch. Create an alarm in CloudWatch with Amazon SNS to receive a notification when the model is overfitting.
• C) Implement an AWS Lambda function to log Amazon SageMaker API calls to AWS CloudTrail. Add code to push a custom metric to Amazon CloudWatch. Create an alarm in CloudWatch with Amazon SNS to receive a notification when the model is overfitting.
• D) Use AWS CloudTrail to log Amazon SageMaker API calls to Amazon S3. Set up Amazon SNS to receive a notification when the model is overfitting

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Definitions:

Repeated Games

A strategic scenario in which the same game or situation is played multiple times, allowing for strategy evolution based on past outcomes.

Simultaneous

Occurring, operating, or done at the same time.

Sequential Decision

A process of making decisions one after another, where each decision is dependent on the outcome of previous decisions.

Collusion

An agreement, usually secretive, between two or more parties to limit competition, set prices, or manipulate market conditions.