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AI-300 Practice Question 82: Workspace Diagnostic Settings

Microsoft Machine Learning Operations Engineer Associate (AI-300) · Test 9 · question 2 of 10

Design and implement an MLOps infrastructuremedium

A compliance team requires that operations on an Azure Machine Learning workspace, such as job submissions and compute changes, are logged and retained centrally for one year. Which action should the ML engineer take?

Select one answer
Show answer and explanation

Answer:

  • B. A diagnostic setting on the workspace that sends logs to Log Analytics

Azure Machine Learning sends platform metrics and resource logs to Azure Monitor. A diagnostic setting on the workspace routes the selected log categories to a Log Analytics workspace, a storage account, or an event hub, where retention can be set to meet the one-year requirement (option B).

- A is wrong because Application Insights collects application telemetry. It is not the workspace's resource log and does not record platform operations. - C is wrong because soft delete lets a deleted workspace be recovered. It does not create a log of operations. - D is wrong because MLflow tracks experiment metrics and parameters. It does not audit operations by users on the workspace.

Reference: Monitor Azure Machine Learning

Practice Test 9 ›

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