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Copy file name to clipboardExpand all lines: articles/machine-learning/how-to-monitor-online-endpoints.md
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@@ -200,7 +200,8 @@ The following tables provide details on the data stored in each log:
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| Method | The requested method from client.
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| Path | The requested path from client.
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| SubscriptionId | The machine learning subscription ID of the online endpoint.
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| WorkspaceId | The machine learning workspace ID of the online endpoint.
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| AzureMLWorkspaceId | The machine learning workspace ID of the online endpoint.
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| AzureMLWorkspaceName | The machine learning workspace name of the online endpoint.
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| EndpointName | The name of the online endpoint.
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| DeploymentName | The name of the online deployment.
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| Protocol | The protocol of the request.
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| ModelStatusReason | The response status reason from model.
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| RequestPayloadSize | The total bytes received from the client.
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| ResponsePayloadSize | The total bytes sent back to the client.
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| UserAgent | The user-agent header of the request.
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| UserAgent | The user-agent header of the request, including comments but truncated to a max of 70 characters.
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| XRequestId | The request ID generated by Azure Machine Learning for internal tracing.
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| XMSClientRequestId | The tracking ID generated by the client.
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| TotalDurationMs | Duration in milliseconds from the request start time to the last response byte sent back to the client. If the client disconnected, it measures from the start time to client disconnect time.
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