Câu 109: DP-100: Designing and Implementing a Data Science Solution on Azure

You deploy a real-time inference service for a trained model. The deployed model supports a business-critical application, and it is important to be able to monitor the data submitted to the web service and the predictions the data generates. You need to implement a monitoring solution for the deployed model using minimal administrative effort. What should you do?

1. A. View the explanations for the registered model in Azure ML studio.
2. B. Enable Azure Application Insights for the service endpoint and view logged data in the Azure portal. — đáp án hiện tại
3. C. View the log files generated by the experiment used to train the model.
4. D. Create an ML Flow tracking URI that references the endpoint, and view the data logged by ML Flow.