AWS Certified AI Practitioner AIF-C01 Practice Question
A company trains a machine learning model in Amazon SageMaker and deploys it as a real-time endpoint. They need to automatically detect data drift between incoming production requests and the original training data and receive alerts when model predictions start to degrade. Which SageMaker capability should they enable?
Amazon SageMaker Model Monitor provides built-in monitors for data quality and model quality. It establishes a baseline from the training dataset, compares live traffic to that baseline, and can publish CloudWatch metrics and notifications when drift or quality threshold violations occur. SageMaker Clarify is intended for bias detection and explainability, SageMaker Processing is a general-purpose job service, and Amazon Augmented AI enables human review workflows, none of which continuously track production drift for data and prediction accuracy.
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AWS Certified AI Practitioner AIF-C01
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