From the course: Microsoft Azure Data Scientist Associate (DP-100) Exam Tips

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Monitoring and security in Azure Machine Learning

Monitoring and security in Azure Machine Learning - Azure Tutorial

From the course: Microsoft Azure Data Scientist Associate (DP-100) Exam Tips

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Monitoring and security in Azure Machine Learning

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- [Instructor] After a machine learning model has been deployed. It's important to understand how it's being used. Application Insights is an applications performance management service in Microsoft Azure, that enables the capture, storage, and analysis of telemetry data, from applications. This helps in understanding, how a model is being used. To log telemetry in Application Insights from an Azure Machine Learning service you must have an Application Insights resource associated with your Azure Machine Learning Workspace and you must configure your service to use it for telemetry logging. Application Insights automatically captures any information written to the standard output, and error logs and provides a query capability to view data in the logs. Go through the Monitor a model exercise to learn how this works.

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