fixing link

Author: Larry Franks

includes/machine-learning-public-internet-access.md

@@ -34,7 +34,7 @@ Azure Machine Learning requires both inbound and outbound access to the public i
 | Inbound | TCP: 44224 | `AzureMachineLearning` | Create, update, and delete of Azure Machine Learning compute instance/cluster. **Required if instance/cluster configured with a Public IP option.**|
 | Outbound | TCP: 8787 | `AzureMachineLearning` | Using Azure Machine Learning services.<br> **Port 8787 is required if you use RStudio.** |
 | Outbound | TCP: 445 | `Storage.region` | Access data stored in the Azure Storage Account for compute cluster and compute instance. For information on preventing data exfiltration over this outbound, see [Data exfiltration protection](../articles/machine-learning/how-to-prevent-data-loss-exfiltration.md).<br>**445 is only required if you have a firewall between your virtual network for Azure ML and a private endpoint for your storage accounts.**|
-| Outbound | TCP: 443 | `AzureMonitor` | Used to log monitoring and metrics to App Insights and Azure Monitor. Only needed if you haven't [secured Azure Monitor](how-to-secure-workspace-vnet.md#secure-azure-monitor-and-application-insights) for the workspace. |
+| Outbound | TCP: 443 | `AzureMonitor` | Used to log monitoring and metrics to App Insights and Azure Monitor. Only needed if you haven't [secured Azure Monitor](../articles/machine-learning/how-to-secure-workspace-vnet.md#secure-azure-monitor-and-application-insights) for the workspace. |
 | Outbound | TCP: 443 | `Keyvault.region` | Access the key vault for the Azure Batch service. Only needed if you enabled 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 when creating the workspace. |
 
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