AIF-C01 · Question #185
A media company wants to analyze viewer behavior and demographics to recommend personalized content. The company wants to deploy a customized ML model in its production environment. The company also…
The correct answer is D. Amazon SageMaker Model Monitor. Amazon SageMaker Model Monitor continuously tracks deployed ML models in production to detect data drift, model drift, and quality degradation over time. This is essential for ensuring that the recommendation model remains accurate as viewer behavior and demographics change…
Question
A media company wants to analyze viewer behavior and demographics to recommend personalized content. The company wants to deploy a customized ML model in its production environment. The company also wants to observe if the model quality drifts over time. Which AWS service or feature meets these requirements?
Options
- AAmazon Rekognition
- BAmazon SageMaker Clarify
- CAmazon Comprehend
- DAmazon SageMaker Model Monitor
How the community answered
(61 responses)- A13% (8)
- B7% (4)
- C3% (2)
- D77% (47)
Explanation
Amazon SageMaker Model Monitor continuously tracks deployed ML models in production to detect data drift, model drift, and quality degradation over time. This is essential for ensuring that the recommendation model remains accurate as viewer behavior and demographics change. Model Monitor helps detect anomalies and provides alerts when model performance deviates from expected trends, allowing the company to take corrective action.
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