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Merge pull request #187901 from v-rajagt/msangapu
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articles/app-service/app-service-web-nodejs-best-practices-and-troubleshoot-guide.md

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@@ -51,7 +51,7 @@ This setting controls the directory where iisnode logs stdout/stderr. The defaul
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### debuggerExtensionDll
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This setting controls what version of node-inspector iisnode uses when debugging your node application. Currently, iisnode-inspector-0.7.3.dll and iisnode-inspector.dll are the only two valid values for this setting. The default value is iisnode-inspector-0.7.3.dll. The iisnode-inspector-0.7.3.dll version uses node-inspector-0.7.3 and uses web sockets. Enable web sockets on your Azure webapp to use this version. See <https://ranjithblogs.azurewebsites.net/?p=98> for more details on how to configure iisnode to use the new node-inspector.
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This setting controls what version of node-inspector iisnode uses when debugging your node application. Currently, iisnode-inspector-0.7.3.dll and iisnode-inspector.dll are the only two valid values for this setting. The default value is iisnode-inspector-0.7.3.dll. The iisnode-inspector-0.7.3.dll version uses node-inspector-0.7.3 and uses web sockets. Enable web sockets on your Azure webapp to use this version.
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### flushResponse
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articles/machine-learning/how-to-auto-train-forecast.md

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To enable DNN for an AutoML experiment created in the Azure Machine Learning studio, see the [task type settings in the studio UI how-to](how-to-use-automated-ml-for-ml-models.md#create-and-run-experiment).
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View the [Beverage Production Forecasting notebook](https://github.com/Azure/azureml-examples/blob/main/python-sdk/tutorials/automl-with-azureml/forecasting-beer-remote/auto-ml-forecasting-beer-remote.ipynb) for a detailed code example using DNNs.
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### Target rolling window aggregation
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