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Merge pull request #99331 from craigcaseyMSFT/vcraic1218
fix broken links from CATS report
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articles/azure-maps/tutorial-iot-hub-maps.md

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### Create an Azure Maps account
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In order to implement business logic based on Azure Maps spatial analytics, we need to create an Azure Maps account in the resource group we created. Follow instructions in [Create an account](quick-demo-map-app.md#create-an-account-with-azure-maps) to create an Azure Maps account subscription with S1 pricing tier and follow the steps in [get primary key](quick-demo-map-app.md#get-the-primary-key-for-your-account) to get the primary key for your account. For more details on authentication in Azure Maps, see [manage authentication in Azure Maps](/how-to-manage-authentication.md).
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In order to implement business logic based on Azure Maps spatial analytics, we need to create an Azure Maps account in the resource group we created. Follow instructions in [Create an account](quick-demo-map-app.md#create-an-account-with-azure-maps) to create an Azure Maps account subscription with S1 pricing tier and follow the steps in [get primary key](quick-demo-map-app.md#get-the-primary-key-for-your-account) to get the primary key for your account. For more details on authentication in Azure Maps, see [manage authentication in Azure Maps](how-to-manage-authentication.md).
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articles/azure-maps/tutorial-search-location.md

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![Get Primary Key in portal](./media/tutorial-search-location/get-key.png)
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For more details on authentication in Azure Maps, see [manage authentication in Azure Maps](/how-to-manage-authentication.md).
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For more details on authentication in Azure Maps, see [manage authentication in Azure Maps](how-to-manage-authentication.md).
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<a id="createmap"></a>
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articles/azure-resource-manager/resource-manager-cross-resource-group-deployment.md

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| nested | inner | Sub resource group |
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| linked | N/A | Sub resource group |
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The following [example template]((https://github.com/Azure/azure-docs-json-samples/blob/master/azure-resource-manager/crossresourcegroupproperties.json)) shows:
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The following [example template](https://github.com/Azure/azure-docs-json-samples/blob/master/azure-resource-manager/crossresourcegroupproperties.json) shows:
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* nested template with default (outer) scope
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* nested template with inner scope

articles/azure-signalr/signalr-resource-faq.md

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Azure SignalR Service provides all three transports that ASP.NET Core SignalR supports by default. It is not configurable. SignalR Service will handle connections and transports for all client connections.
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You can configure client-side transports as documented [here](https://docs.microsoft.com/aspnet/core/signalr/configuration?view=aspnetcore-2.1#configure-allowed-transports).
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You can configure client-side transports as documented [here](https://docs.microsoft.com/aspnet/core/signalr/configuration?view=aspnetcore-2.1&tabs=dotnet#configure-allowed-transports-2).

articles/hdinsight/create-cluster-error-dictionary.md

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### Resolution
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If you plan to use **network security groups** to control network traffic, take the following actions before you install HDInsight:
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- Identify the Azure region that you plan to use for HDInsight.
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- Identify the IP addresses required by HDInsight. For more information, see [HDInsight management IP addresses](https://docs.microsoft.com/hdinsight/hdinsight-management-ip-addresses).
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- Identify the IP addresses required by HDInsight. For more information, see [HDInsight management IP addresses](https://docs.microsoft.com/azure/hdinsight/hdinsight-management-ip-addresses).
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- Create or modify the network security groups for the subnet that you plan to install HDInsight into.
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- **Network security groups:** Allow **inbound** traffic on port **443** from the IP addresses. This makes sure that HDInsight management services can reach the cluster from outside the virtual network.
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articles/machine-learning/how-to-set-up-vs-code-remote.md

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> [!NOTE]
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> Compute instances are available only for workspaces with a region of **North Central US** or **UK South**.
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+ An [Azure Machine Learning Compute Instance](/service/concept-compute-instance.md) is a fully managed cloud-based workstation for data scientists and provides management and enterprise readiness capabilities for IT administrators.
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+ An [Azure Machine Learning Compute Instance](/azure/machine-learning/service/concept-compute-instance) is a fully managed cloud-based workstation for data scientists and provides management and enterprise readiness capabilities for IT administrators.
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+ [Visual Studio Code Remote](https://code.visualstudio.com/docs/remote/remote-overview) Development allows you to use a container, remote machine, or the Windows Subsystem for Linux (WSL) as a full-featured development environment.
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1. Go to the Azure Machine Learning studio at https://ml.azure.com/.
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2. Select your [workspace](/service/concept-workspace.md).
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2. Select your [workspace](/azure/machine-learning/service/concept-workspace).
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1. Click the **Compute Instances** tab.
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1. In the **Application URI** column, click the **SSH** link of the compute instance you want to use as a remote compute.
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1. In the dialog, take note of the IP Address and SSH port.
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Now that you've set up Visual Studio Code Remote, you can use a compute instance as remote compute from Visual Studio Code to interactively debug your code.
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[Tutorial: Train your first ML model](/service/tutorial-1st-experiment-sdk-train.md) shows how to use a compute instance with an integrated notebook.
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[Tutorial: Train your first ML model](/azure/machine-learning/service/tutorial-1st-experiment-sdk-train) shows how to use a compute instance with an integrated notebook.

articles/machine-learning/service/how-to-deploy-azure-kubernetes-service.md

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For more information on the classes, methods, and parameters used in this example, see the following reference documents:
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* [AksCompute.ClusterPurpose](https://docs.microsoft.com/python/api/azureml-core/azureml.core.compute.aks.akscompute.clusterpurpose?view=azure-ml-py)
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* [AksCompute.provisioning_configuration](/python/api/azureml-core/azureml.core.compute.akscompute?view=azure-ml-py#attach-configuration-resource-group-none--cluster-name-none--resource-id-none--cluster-purpose-none--load-balancer-type-none-)
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* [AksCompute.provisioning_configuration](/python/api/azureml-core/azureml.core.compute.akscompute?view=azure-ml-py#attach-configuration-resource-group-none--cluster-name-none--resource-id-none--cluster-purpose-none-)
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* [ComputeTarget.create](https://docs.microsoft.com/python/api/azureml-core/azureml.core.compute.computetarget?view=azure-ml-py#create-workspace--name--provisioning-configuration-)
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* [ComputeTarget.wait_for_completion](https://docs.microsoft.com/python/api/azureml-core/azureml.core.compute.computetarget?view=azure-ml-py#wait-for-completion-show-output-false-)
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For more information on the classes, methods, and parameters used in this example, see the following reference documents:
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* [AksCompute.attach_configuration()](/python/api/azureml-core/azureml.core.compute.akscompute?view=azure-ml-py#attach-configuration-resource-group-none--cluster-name-none--resource-id-none--cluster-purpose-none--load-balancer-type-none-)
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* [AksCompute.attach_configuration()](/python/api/azureml-core/azureml.core.compute.akscompute?view=azure-ml-py#attach-configuration-resource-group-none--cluster-name-none--resource-id-none--cluster-purpose-none-)
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* [AksCompute.ClusterPurpose](https://docs.microsoft.com/python/api/azureml-core/azureml.core.compute.aks.akscompute.clusterpurpose?view=azure-ml-py)
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* [AksCompute.attach](https://docs.microsoft.com/python/api/azureml-core/azureml.core.compute.computetarget?view=azure-ml-py#attach-workspace--name--attach-configuration-)
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articles/security/fundamentals/operational-overview.md

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Azure Backup offers components that you download and deploy on the appropriate computer or server, or in the cloud. The component, or agent, that you deploy depends on what you want to protect. All Azure Backup components (whether you're protecting data on-premises or in the cloud) can be used to back up data to an Azure Recovery Services vault in Azure.
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For more information, see the [Azure Backup components table](/azure/backup/backup-introduction-to-azure-backup#which-backup-agent-should-i-use).
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For more information, see the [Azure Backup components table](/azure/backup/backup-overview#what-can-i-back-up).
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### Site Recovery
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articles/site-recovery/azure-stack-site-recovery.md

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- VHD Name: copied-3676553984.vhd
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6. Upload the VHD to Azure Stack with [these steps](https://docs.microsoft.com/azure/azure-stack/user/azure-stack-manage-vm-disks#use-powershell-to-add-multiple-unmanaged-disks-to-a-vm).
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6. Upload the VHD to Azure Stack with [these steps](https://docs.microsoft.com/azure/azure-stack/user/azure-stack-manage-vm-disks#use-powershell-to-add-multiple-disks-to-a-vm).
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articles/storage/files/storage-troubleshoot-windows-file-connection-problems.md

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### Solution for cause 1
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Browse to the storage account where the Azure file share is located, click **Access control (IAM)** and verify your user account has access to the storage account. To learn more, see [How to secure your storage account with Role-Based Access Control (RBAC)](https://docs.microsoft.com/azure/storage/common/storage-security-guide#how-to-secure-your-storage-account-with-role-based-access-control-rbac).
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Browse to the storage account where the Azure file share is located, click **Access control (IAM)** and verify your user account has access to the storage account. To learn more, see [How to secure your storage account with Role-Based Access Control (RBAC)](https://docs.microsoft.com/azure/storage/blobs/security-recommendations#data-protection).
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### Cause 2: Virtual network or firewall rules are enabled on the storage account
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