AIF-C01 Question #174: Real Exam Question with Answer & Explanation

Question

A company deployed a model to production. After 4 months, the model inference quality degraded. The company wants to receive a notification if the model inference quality degrades. The company also wants to ensure that the problem does not happen again. Which solution will meet these requirements?

Options

• ARetrain the model. Monitor model drift by using Amazon SageMaker Clarify.
• BRetrain the model. Monitor model drift by using Amazon SageMaker Model Monitor.
• CBuild a new model. Monitor model drift by using Amazon SageMaker Feature Store.
• DBuild a new model. Monitor model drift by using Amazon SageMaker JumpStart.

Explanation

The company needs to address the degradation in model inference quality after 4 months in production and prevent future occurrences by receiving notifications. Retraining the model can address the current degradation, likely caused by data drift (changes in the data distribution over time). Amazon SageMaker Model Monitor is designed to detect and monitor model drift, alerting the company when inference quality degrades, thus meeting both requirements. Amazon SageMaker Model Monitor enables you to monitor machine learning models in production for data drift, model performance degradation, and other quality issues. It can detect drift in feature distributions and inference quality, sending notifications when deviations are detected, allowing you to take corrective actions such as retraining the model.

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