Merge pull request #99987 from craigcaseyMSFT/vcraic1231

fix broken links from CATS report

Author: PRMerger7

articles/azure-functions/functions-recover-storage-account.md

@@ -81,7 +81,7 @@ If you have a Daily Execution Quota configured, your Function App will be tempor
 
 ## App is behind a firewall
 
-Your function runtime will be unreachable if your function app is hosted in an [internally load balanced App Service Environment](../app-service/environment/create-ilb-ase.md) and is configured to block inbound internet traffic, or has [inbound IP restrictions](/azure-functions/functions-networking-options#inbound-ip-restrictions) configured to block internet access. The Azure portal makes calls directly to the running app to fetch the list of functions and also makes http call to KUDU endpoint. Platform level settings under the `Platform Features` tab will still be available.
+Your function runtime will be unreachable if your function app is hosted in an [internally load balanced App Service Environment](../app-service/environment/create-ilb-ase.md) and is configured to block inbound internet traffic, or has [inbound IP restrictions](functions-networking-options.md#inbound-ip-restrictions) configured to block internet access. The Azure portal makes calls directly to the running app to fetch the list of functions and also makes http call to KUDU endpoint. Platform level settings under the `Platform Features` tab will still be available.
 
 * To verify your ASE configuration, navigate to NSG of the subnet where ASE resides and validate inbound rules to allow traffic coming from the public IP of the computer where you are accessing the application. You can also use the portal from a computer connected to the virtual network running your app or a virtual machine running in your virtual network. [Read more about inbound rule configuration here](https://docs.microsoft.com/azure/app-service/environment/network-info#network-security-groups)
 

articles/azure-maps/tutorial-prioritized-routes.md

@@ -22,7 +22,7 @@ This tutorial shows how to use your Azure Maps account and the route service to
 > * Display multiple routes on your map
 
 ## Prerequisites
-Before you proceed, 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).
+Before you proceed, 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).
 
 ## Create a new map
 

articles/azure-maps/tutorial-route-location.md

@@ -22,7 +22,7 @@ This tutorial shows how to use your Azure Maps account and the Route Service SDK
 
 ## Prerequisites
 
-Before you proceed, 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).
+Before you proceed, 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).
 
 <a id="getcoordinates"></a>
 

articles/azure-resource-manager/templates/template-functions-resource.md

@@ -217,7 +217,7 @@ The possible uses of list* are shown in the following table.
 | microsoft.web/apimanagementaccounts/apis/connections | listconnectionkeys |
 | microsoft.web/apimanagementaccounts/apis/connections | listsecrets |
 | microsoft.web/sites/functions | [listsecrets](/rest/api/appservice/webapps/listfunctionsecrets) |
-| microsoft.web/sites/hybridconnectionnamespaces/relays | [listkeys](/rest/api/appservice/webapps/listhybridconnectionkeys) |
+| microsoft.web/sites/hybridconnectionnamespaces/relays | [listkeys](/rest/api/appservice/appserviceplans/listhybridconnectionkeys) |
 | microsoft.web/sites | [listsyncfunctiontriggerstatus](/rest/api/appservice/webapps/listsyncfunctiontriggers) |
 | microsoft.web/sites/slots/functions | [listsecrets](/rest/api/appservice/webapps/listfunctionsecretsslot) |
 

articles/cognitive-services/LUIS/sdk-csharp-quickstart-query-prediction-endpoint.md

@@ -116,7 +116,7 @@ The Language Understanding (LUIS) prediction runtime client is a [LUISRuntimeCli
 
 Once the client is created, use this client to access functionality including:
 
-* Prediction by [staging or product slot]((https://docs.microsoft.com/dotnet/api/microsoft.azure.cognitiveservices.language.luis.runtime.predictionoperationsextensions.getslotpredictionasync?view=azure-dotnet))
+* Prediction by [staging or product slot](https://docs.microsoft.com/dotnet/api/microsoft.azure.cognitiveservices.language.luis.runtime.predictionoperationsextensions.getslotpredictionasync?view=azure-dotnet)
 * Prediction by [version](https://docs.microsoft.com/dotnet/api/microsoft.azure.cognitiveservices.language.luis.runtime.predictionoperationsextensions.getversionpredictionasync?view=azure-dotnet)
 
 

articles/machine-learning/how-to-configure-auto-train.md

@@ -137,7 +137,7 @@ See the [GitHub site](https://github.com/Azure/MachineLearningNotebooks/tree/mas
 
 ## Configure your experiment settings
 
-There are several options that you can use to configure your automated machine learning experiment. These parameters are set by instantiating an `AutoMLConfig` object. See the [AutoMLConfig class](https://docs.microsoft.com/python/api/azureml-train-automl-client/azureml.train.automl.automlconfig.automlconfig?view=azure-ml-py) for a full list of parameters.
+There are several options that you can use to configure your automated machine learning experiment. These parameters are set by instantiating an `AutoMLConfig` object. See the [AutoMLConfig class](https://docs.microsoft.com/python/api/azureml-train-automl-client/azureml.train.automl.automlconfig.automlconfig) for a full list of parameters.
 
 Some examples include:
 
@@ -166,7 +166,7 @@ Some examples include:
         n_cross_validations=5)
     ```
 
-The three different `task` parameter values (the third task-type is `forecasting`, and uses a similar algorithm pool as `regression` tasks) determine the list of models to apply. Use the `whitelist` or `blacklist` parameters to further modify iterations with the available models to include or exclude. The list of supported models can be found on [SupportedModels Class](https://docs.microsoft.com/python/api/azureml-train-automl/azureml.train.automl.constants.supportedmodels?view=azure-ml-py).
+The three different `task` parameter values (the third task-type is `forecasting`, and uses a similar algorithm pool as `regression` tasks) determine the list of models to apply. Use the `whitelist` or `blacklist` parameters to further modify iterations with the available models to include or exclude. The list of supported models can be found on [SupportedModels Class](https://docs.microsoft.com/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels).
 
 ### Primary Metric
 The primary metric determines the metric to be used during model training for optimization. The available metrics you can select is determined by the task type you choose, and the following table shows valid primary metrics for each task type.

articles/media-services/latest/streaming-locators-concept.md

@@ -92,7 +92,7 @@ To get Streaming Locators based on the associated Asset name, use the following
 |REST|[liststreaminglocators](https://docs.microsoft.com/rest/api/media/assets/liststreaminglocators)|
 |CLI|[az ams asset list-streaming-locators](https://docs.microsoft.com/cli/azure/ams/asset?view=azure-cli-latest#az-ams-asset-list-streaming-locators)|
 |.NET|[ListStreamingLocators](https://docs.microsoft.com/dotnet/api/microsoft.azure.management.media.assetsoperationsextensions.liststreaminglocators?view=azure-dotnet#Microsoft_Azure_Management_Media_AssetsOperationsExtensions_ListStreamingLocators_Microsoft_Azure_Management_Media_IAssetsOperations_System_String_System_String_System_String_)|
-|Java|[AssetStreamingLocator](https://docs.microsoft.com/java/api/com.microsoft.azure.management.mediaservices.v2018_07_01.assetstreaminglocator?view=azure-java-stable)|
+|Java|[AssetStreamingLocator](https://docs.microsoft.com/rest/api/media/assets/liststreaminglocators#assetstreaminglocator)|
 |Node.js|[listStreamingLocators](https://docs.microsoft.com/javascript/api/@azure/arm-mediaservices/assets#liststreaminglocators-string--string--string--msrest-requestoptionsbase-)|
 
 ## Also see

articles/site-recovery/site-recovery-failover.md

@@ -140,7 +140,7 @@ Follow the steps described [here](site-recovery-failover-to-azure-troubleshoot.m
 After you've failed over, you need to reprotect to start replicating the Azure VMs back to the on-premises site. After replication is up and running, you can fail back on-premises when you're ready.
 
 - [Learn more](failover-failback-overview.md#reprotectionfailback) about reprotection and failback.
-- [Prepare](/vmware-azure-reprotect.md) for VMware reprotection and failback.
+- [Prepare](vmware-azure-reprotect.md) for VMware reprotection and failback.
 - [Fail back](hyper-v-azure-failback.md) Hyper-V VMs.
 - [Learn about](physical-to-azure-failover-failback.md) the failover and failback process for physical servers.
 

articles/virtual-machines/troubleshooting/troubleshoot-performance-virtual-machine-linux-windows.md

@@ -27,7 +27,7 @@ This article will walk through using monitoring to diagnose Performance bottlene
 
 ### Azure IAAS virtual machine monitoring
 
-To monitor the Guest VM, use the Azure VM Monitoring, which will alert you to certain high-level resource conditions. To check whether you have the VM diagnostics enabled, see [Azure Resource logs overview](https://docs.microsoft.com/azure/azure-monitor/platform/resource-logs-overview#collecting-resource-logs). If you see the following, then you most likely don't have the diagnostics enabled:
+To monitor the Guest VM, use the Azure VM Monitoring, which will alert you to certain high-level resource conditions. To check whether you have the VM diagnostics enabled, see [Azure Resource logs overview](https://docs.microsoft.com/azure/azure-monitor/learn/tutorial-resource-logs). If you see the following, then you most likely don't have the diagnostics enabled:
 
 ![Monitoring isn't enabled](media/troubleshoot-performance-virtual-machine-linux-windows/1-virtual-machines-monitoring-not-enabled.png)
 

articles/virtual-machines/windows/overview.md

@@ -29,7 +29,7 @@ Azure virtual machines can be used in various ways. Some examples are:
 The number of VMs that your application uses can scale up and out to whatever is required to meet your needs.
 
 ## What do I need to think about before creating a VM?
-There are always a multitude of [design considerations](https://docs.microsoft.com/azure/architecture/reference-architectures/#vm-workloads) when you build out an application infrastructure in Azure. These aspects of a VM are important to think about before you start:
+There are always a multitude of [design considerations](https://docs.microsoft.com/azure/architecture/reference-architectures/n-tier/windows-vm) when you build out an application infrastructure in Azure. These aspects of a VM are important to think about before you start:
 
 * The names of your application resources
 * The location where the resources are stored