A telecom company has a model that predicts customer churn. The model was trained on data from a period when the company had a specific pricing plan. The company has since changed its pricing plan, which altered the relationship between customer features and churn. The model's performance has degraded. What is the most likely cause?

Infrastructure failure, because the endpoint is not scaling properly.

Concept drift, because the relationship between inputs and the target has changed.

Model overfitting, because the model is too complex.

Data drift, because the input feature distributions have changed.

What is the primary purpose of monitoring model inference in production?

To detect when the model's performance degrades or behavior changes over time.

To automate the deployment of new model versions.

To reduce the cost of training the model.

To improve the accuracy of the training dataset.

Which of the following is a common remediation action when monitoring detects significant data drift?

Changing the model's activation functions.

Retraining the model with recent data.

Increasing the model's learning rate.

AWSCertified Machine Learning Engineer - Associate

Domain 4Objective 1

Task 4.1: Monitor Model Inference 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 19 practice questions to prepare you well beyond it. (estimate)

19questions here

4free pages

7concepts

24%of the exam

Questions 1–5

1application · medium
A telecom company has a model that predicts customer churn. The model was trained on data from a period when the company had a specific pricing plan. The company has since changed its pricing plan, which altered the relationship between customer features and churn. The model's performance has degraded. What is the most likely cause?
Select an answer first
2application · medium
A social media company has a model that predicts user engagement. The model is deployed on a SageMaker endpoint. The team wants to monitor the model's prediction drift, which is the change in the distribution of predicted values over time. Which AWS service should they use?
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3foundation · easy
What is the primary purpose of monitoring model inference in production?
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4foundation · easy
Which of the following is a common remediation action when monitoring detects significant data drift?
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5foundation · easy
Which of the following is a key metric for monitoring model inference?
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Task 4.1: Monitor Model Inference MLA-C01 Practice Questions (Page 1)

Questions 1–5

A social media company has a model that predicts user engagement. The model is deployed on a SageMaker endpoint. The team wants to monitor the model's prediction drift, which is the change in the distribution of predicted values over time. Which AWS service should they use?

What is the primary purpose of monitoring model inference in production?

Which of the following is a common remediation action when monitoring detects significant data drift?

Which of the following is a key metric for monitoring model inference?

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