Merge pull request #188514 from Blackmist/websocket

Websocket

Author: PRMerger10

articles/machine-learning/how-to-access-azureml-behind-firewall.md

@@ -283,6 +283,7 @@ The hosts in the following tables are owned by Microsoft, and provide services r
 > * The host for __Azure Key Vault__ is only needed if your workspace was created with the [hbi_workspace](/python/api/azureml-core/azureml.core.workspace%28class%29#create-name--auth-none--subscription-id-none--resource-group-none--location-none--create-resource-group-true--sku--basic---friendly-name-none--storage-account-none--key-vault-none--app-insights-none--container-registry-none--cmk-keyvault-none--resource-cmk-uri-none--hbi-workspace-false--default-cpu-compute-target-none--default-gpu-compute-target-none--exist-ok-false--show-output-true-) flag enabled.
 > * Ports 8787 and 18881 for __compute instance__ are only needed when your Azure Machine workspace has a private endpoint.
 > * In the following table, replace `<storage>` with the name of the default storage account for your Azure Machine Learning workspace.
+> * Websocket communication must be allowed to the compute instance. If you block websocket traffic, Jupyter notebooks won't work correctly.
 
 # [Azure public](#tab/public)