What is the purpose of monitoring prediction quality for a deployed ML model?

To detect unauthorized access to the model

To monitor CPU utilization of the endpoint

To ensure the model continues to produce accurate predictions over time

To track the cost of running the inference endpoint

A team deploys a fraud detection model to a SageMaker endpoint. The model's predictions are used to block suspicious transactions. The team wants to monitor the model's performance in production to detect when the model's accuracy degrades due to changes in the underlying data distribution. What should the team set up?

SageMaker Model Monitor to capture data and monitor for data drift, and CloudWatch alarms on the drift metrics.

AWS CloudTrail to log all API calls to the endpoint and analyze them for anomalies.

SageMaker Debugger to analyze training jobs and identify overfitting.

CloudWatch alarms on the endpoint's CPU utilization and memory usage.

Which AWS service can be used to send notifications when a CloudWatch alarm is triggered, such as alerting an operations team about high CPU utilization on an ML training instance?

Amazon Simple Notification Service (SNS)

Amazon Simple Queue Service (SQS)

AWSCertified Machine Learning Engineer - Associate

Domain 4Objective 2

Task 4.2: Monitor and Optimize Infrastructure and Costs MLA-C01 Practice Questions (Page 1)

Part of the Content Domain 4: ML Solution Monitoring, Maintenance, and Security domain, which accounts for 24% of the MLA-C01 exam. AWS does not publish an official question count, but from its 130-minute exam (~50–85 total, ~12–20 in this domain), expect 4–7 from this objective — we provide 27 practice questions to prepare you well beyond it. (estimate)

27questions here

6free pages

8concepts

24%of the exam

Questions 1–5

1foundation · easy
What is the purpose of monitoring prediction quality for a deployed ML model?
Select an answer first
2application · medium
A team deploys a fraud detection model to a SageMaker endpoint. The model's predictions are used to block suspicious transactions. The team wants to monitor the model's performance in production to detect when the model's accuracy degrades due to changes in the underlying data distribution. What should the team set up?
Select an answer first
3foundation · easy
Which AWS service can be used to send notifications when a CloudWatch alarm is triggered, such as alerting an operations team about high CPU utilization on an ML training instance?
Select an answer first
4foundation · easy
Which S3 feature automatically transitions objects to lower-cost storage classes based on age or other rules, helping reduce storage costs for ML datasets?
Select an answer first
5foundation · easy
Which AWS tool provides a graphical interface to visualize and explore your historical AWS spending and usage data, allowing you to filter by service, region, or tag?
Select an answer first

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Task 4.2: Monitor and Optimize Infrastructure and Costs MLA-C01 Practice Questions (Page 1)

Questions 1–5

What is the purpose of monitoring prediction quality for a deployed ML model?

Which AWS service can be used to send notifications when a CloudWatch alarm is triggered, such as alerting an operations team about high CPU utilization on an ML training instance?

Which S3 feature automatically transitions objects to lower-cost storage classes based on age or other rules, helping reduce storage costs for ML datasets?

Which AWS tool provides a graphical interface to visualize and explore your historical AWS spending and usage data, allowing you to filter by service, region, or tag?

Keep studying — Content Domain 4: ML Solution Monitoring, Maintenance, and Security