Question 51 of 68
Single answerCertylQ 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?
✓AUse SageMaker real-time inference for inference. Use SageMaker Model Monitor for notifications about model quality.
BUse SageMaker batch transform for inference. Use SageMaker Model Monitor for notifications about model quality.
CUse SageMaker Serverless Inference for inference. Use SageMaker Inference Recommender for notifications about model quality.
DKeep using SageMaker Asynchronous Inference for inference. Use SageMaker Inference Recommender for notifications about model quality.
✓
Correct Answer: A
Use SageMaker real-time inference for inference. Use SageMaker Model Monitor for notifications about model quality.
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Explanation
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