MLA-C01 · Question #163
MLA-C01 Question #163: Real Exam Question with Answer & Explanation
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Question
An ecommerce company trains an ML model to forecast demand for near real-time inventory management based on historical customer activity. The company successfully deploys the trained model to a production Amazon SageMaker AI endpoint. However, the company notices that the model's forecast performance degrades over time. The company needs a long-term and automated solution to mitigate the performance degradation. Which solution will meet these requirements?
Options
- AUse Amazon SageMaker Debugger to automatically send alerts when model performance
- BUse AWS X-Ray to monitor the performance of the SageMaker AI endpoint and the incoming
- CUse Amazon SageMaker Ground Truth to curate a high-quality dataset. Use the dataset to re-
- DUse Amazon SageMaker Clarify to monitor model and feature attribution bias to inform model re-
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