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MLA-C01 · Question #51

MLA-C01 Question #51: Real Exam Question with Answer & Explanation

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Deployment and Orchestration of ML Workflows

Question

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?

Options

  • AUse SageMaker real-time inference for inference. Use SageMaker Model Monitor for notifications
  • BUse SageMaker batch transform for inference. Use SageMaker Model Monitor for notifications
  • CUse SageMaker Serverless Inference for inference. Use SageMaker Inference Recommender for
  • DKeep using SageMaker Asynchronous Inference for inference. Use SageMaker Inference

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Topics

#SageMaker inference#Real-time inference#Model monitoring#Model quality drift
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