You have an Azure Machine Learning (ML) model deployed to an online endpoint. You need to review container logs from the endpoint by using Azure ML Python SDK v2. The logs must include the console log from the inference server, with print/log statements from the model’s scoring script. What should you do first?

QuestionsCategory: DP-100You have an Azure Machine Learning (ML) model deployed to an online endpoint. You need to review container logs from the endpoint by using Azure ML Python SDK v2. The logs must include the console log from the inference server, with print/log statements from the model’s scoring script. What should you do first?
Admin Staff asked 7 months ago
You have an Azure Machine Learning (ML) model deployed to an online endpoint.
You need to review container logs from the endpoint by using Azure ML Python SDK v2. The logs must include the console log from the inference server, with print/log statements from the model’s scoring script.
What should you do first?

A. Connect by using SSH to the inference server.

B. Create an instance of the MLCIient class.

C. Connect by using Docker tools to the inference server.

D. Create an instance of the OnlineDeploymentOperations class.








 

Suggested Answer: B



This question is in DP-100 Exam
For getting Microsoft Azure Data Scientist Associate Certificate


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