Câu 48: AWS Certified Machine Learning Engineer - Associate MLA-C01

A company has deployed an ML model that detects fraudulent credit card transactions in real time in a banking application. The model uses Amazon SageMaker Asynchronous Inference. Consumers are reporting delays in receiving the inference results. An ML engineer needs to implement a solution to improve the inference performance. The solution also must provide a notification when a deviation in model quality occurs. Which solution will meet these requirements?

1. A. Use SageMaker real-time inference for inference. Use SageMaker Model Monitor for notifications about model quality. — đáp án hiện tại
2. B. Use SageMaker batch transform for inference. Use SageMaker Model Monitor for notifications about model quality.
3. C. Use SageMaker Serverless Inference for inference. Use SageMaker Inference Recommender for notifications about model quality.
4. D. Keep using SageMaker Asynchronous Inference for inference. Use SageMaker Inference Recommender for notifications about model quality.