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Merge pull request #221799 from dem108/patch-11
Update how-to-secure-online-endpoint.md
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articles/machine-learning/how-to-secure-online-endpoint.md

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@@ -64,7 +64,7 @@ The following diagram shows how communications flow through private endpoints to
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* Secure outbound communication creates three private endpoints per deployment. One to the Azure Blob storage, one to the Azure Container Registry, and one to your workspace.
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* When you use network isolation with a deployment, Azure Log Analytics is partially supported while Application Insights isn't supported. All metrics and the `AMLOnlineEndpointTrafficLog` table are supported via Azure Log Analytics. `AMLOnlineEndpointConsoleLog` and `AMLOnlineEndpointEventLog` tables are currently not supported. As a workaround, you can use the [az ml online-deployment get_logs](/cli/azure/ml/online-deployment#az-ml-online-deployment-get-logs) CLI command, the [OnlineDeploymentOperations.get_logs()](/python/api/azure-ai-ml/azure.ai.ml.operations.onlinedeploymentoperations#azure-ai-ml-operations-onlinedeploymentoperations-get-logs) Python SDK, or the Deployment log tab in the Azure Machine Learning studio instead. For more information, see [Monitoring online endpoints](how-to-monitor-online-endpoints.md).
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* When you use network isolation with a deployment, Azure Log Analytics is partially supported. All metrics and the `AMLOnlineEndpointTrafficLog` table are supported via Azure Log Analytics. `AMLOnlineEndpointConsoleLog` and `AMLOnlineEndpointEventLog` tables are currently not supported. As a workaround, you can use the [az ml online-deployment get_logs](/cli/azure/ml/online-deployment#az-ml-online-deployment-get-logs) CLI command, the [OnlineDeploymentOperations.get_logs()](/python/api/azure-ai-ml/azure.ai.ml.operations.onlinedeploymentoperations#azure-ai-ml-operations-onlinedeploymentoperations-get-logs) Python SDK, or the Deployment log tab in the Azure Machine Learning studio instead. For more information, see [Monitoring online endpoints](how-to-monitor-online-endpoints.md).
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* You can configure public access to a __managed online endpoint__ (_inbound_ and _outbound_). You can also configure [public access to an Azure Machine Learning workspace](how-to-configure-private-link.md#enable-public-access).
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