Merge pull request #209512 from alexbuckgit/alexbuckgit/docutune-autopr-docs-link-absolute-20220829-182048-5318557

[BULK UPDATE] DocuTune - Fix build validation issues: docs-link-absolute (part 3)

Author: LJSpiller

articles/cost-management-billing/reservations/prepay-app-service.md

@@ -132,7 +132,7 @@ You can buy Isolated Stamp reserved capacity in the [Azure portal](https://porta
     - **Management group** - Applies the reservation discount to the matching resource in the list of subscriptions that are a part of both the management group and billing scope.
 1. Select a **Region** to choose an Azure region that's covered by the reserved capacity and add the reservation to the cart.
 1. Select an Isolated Plan type and then select **Select**.  
-    ![Example ](./media/prepay-app-service/app-service-isolated-stamp-select.png)
+    ![Example](./media/prepay-app-service/app-service-isolated-stamp-select.png)
 1. Enter the quantity of App Service Isolated stamps to reserve. For example, a quantity of three would give you three reserved stamps a region. Select **Next: Review + Buy**.
 1. Review and select **Buy now**.
 

articles/cost-management-billing/toc.yml

@@ -434,11 +434,11 @@
       - name: SAP HANA Large Instances
         href: reservations/prepay-hana-large-instances-reserved-capacity.md?toc=/azure/cost-management-billing/toc.json
       - name: SQL Database
-        href: /azure/azure-sql/database/reserved-capacity-overview?toc=%2fazure%2fcost-management-billing%2ftoc.json
+        href: /azure/azure-sql/database/reserved-capacity-overview?toc=/azure/cost-management-billing/toc.json
       - name: Azure Synapse Analytics
         href: reservations/prepay-sql-data-warehouse-charges.md?toc=/azure/cost-management-billing/toc.json
       - name: Virtual machines
-        href: ../virtual-machines/prepay-reserved-vm-instances.md?toc=%2fazure%2fcost-management-billing%2ftoc.json
+        href: ../virtual-machines/prepay-reserved-vm-instances.md?toc=/azure/cost-management-billing/toc.json
     - name: View, Manage and Optimize after purchase
       items:
       - name: View reservations and utilization

articles/data-factory/ci-cd-github-troubleshoot-guide.md

@@ -352,7 +352,7 @@ If you are using old default parameterization template, new way to include globa
 Default parameterization template should include all values from global parameter list.
 
 #### Resolution
-Use updated  [default parameterization template.](https://docs.microsoft.com/azure/data-factory/continuous-integration-delivery-resource-manager-custom-parameters#default-parameterization-template) as one time migration to new method of including global parameters. This template references to all values in global parameter list. You also have to update the deployment task in the **release pipeline** if you are already overriding the template parameters there.
+Use updated  [default parameterization template.](/azure/data-factory/continuous-integration-delivery-resource-manager-custom-parameters#default-parameterization-template) as one time migration to new method of including global parameters. This template references to all values in global parameter list. You also have to update the deployment task in the **release pipeline** if you are already overriding the template parameters there.
 
 ### Error code: InvalidTemplate
 

articles/data-factory/transform-data-using-machine-learning.md

@@ -24,14 +24,14 @@ ms.date: 09/09/2021
 > [!NOTE] 
 > Since Machine Learning Studio (classic) resources can no longer be created after 1 Dec, 2021, users are encouraged to use [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/) with the [Machine Learning Execute Pipeline activity](transform-data-machine-learning-service.md) rather than using the Batch Execution activity to execute Machine Learning Studio (classic) batches.
 
-[ML Studio (classic)](https://azure.microsoft.com/documentation/services/machine-learning/) enables you to build, test, and deploy predictive analytics solutions. From a high-level point of view, it is done in three steps:
+[ML Studio (classic)](/azure/machine-learning/) enables you to build, test, and deploy predictive analytics solutions. From a high-level point of view, it is done in three steps:
 
 1. **Create a training experiment**. You do this step by using the ML Studio (classic). ML Studio (classic) is a collaborative visual development environment that you use to train and test a predictive analytics model using training data.
 2. **Convert it to a predictive experiment**. Once your model has been trained with existing data and you are ready to use it to score new data, you prepare and streamline your experiment for scoring.
 3. **Deploy it as a web service**. You can publish your scoring experiment as an Azure web service. You can send data to your model via this web service end point and receive result predictions from the model.
 
 ### Using Machine Learning Studio (classic) with Azure Data Factory or Synapse Analytics
-Azure Data Factory and Synapse Analytics enable you to easily create pipelines that use a published [Machine Learning Studio (classic)](https://azure.microsoft.com/documentation/services/machine-learning) web service for predictive analytics. Using the **Batch Execution Activity** in a pipeline, you can invoke Machine Learning Studio (classic) web service to make predictions on the data in batch.
+Azure Data Factory and Synapse Analytics enable you to easily create pipelines that use a published [Machine Learning Studio (classic)](/azure/machine-learning) web service for predictive analytics. Using the **Batch Execution Activity** in a pipeline, you can invoke Machine Learning Studio (classic) web service to make predictions on the data in batch.
 
 Over time, the predictive models in the Machine Learning Studio (classic) scoring experiments need to be retrained using new input datasets. You can retrain a model from a pipeline by doing the following steps:
 

articles/data-factory/v1/data-factory-azure-ml-batch-execution-activity.md

@@ -31,7 +31,7 @@ ms.date: 10/22/2021
 > This article applies to version 1 of Data Factory. If you are using the current version of the Data Factory service, see [transform data using machine learning in Data Factory](../transform-data-using-machine-learning.md).
 
 ### Machine Learning Studio (classic)
-[ML Studio (classic)](https://azure.microsoft.com/documentation/services/machine-learning/) enables you to build, test, and deploy predictive analytics solutions. From a high-level point of view, it is done in three steps:
+[ML Studio (classic)](/azure/machine-learning/) enables you to build, test, and deploy predictive analytics solutions. From a high-level point of view, it is done in three steps:
 
 1. **Create a training experiment**. You do this step by using ML Studio (classic). Studio (classic) is a collaborative visual development environment that you use to train and test a predictive analytics model using training data.
 2. **Convert it to a predictive experiment**. Once your model has been trained with existing data and you are ready to use it to score new data, you prepare and streamline your experiment for scoring.
@@ -630,4 +630,4 @@ You can also use [Data Factory Functions](data-factory-functions-variables.md) i
 
 [adf-build-1st-pipeline]: data-factory-build-your-first-pipeline.md
 
-[azure-machine-learning]: https://azure.microsoft.com/services/machine-learning/
+[azure-machine-learning]: https://azure.microsoft.com/services/machine-learning/

articles/data-factory/v1/data-factory-data-processing-using-batch.md

@@ -956,12 +956,12 @@ After you process data, you can consume it with online tools such as Power BI. H
 * [Azure and Power BI: Basic overview](https://powerbi.microsoft.com/documentation/powerbi-azure-and-power-bi/)
 
 ## References
-* [Azure Data Factory](https://azure.microsoft.com/documentation/services/data-factory/)
+* [Azure Data Factory](/azure/data-factory/)
 
   * [Introduction to the Data Factory service](data-factory-introduction.md)
   * [Get started with Data Factory](data-factory-build-your-first-pipeline.md)
   * [Use custom activities in a Data Factory pipeline](data-factory-use-custom-activities.md)
-* [Azure Batch](https://azure.microsoft.com/documentation/services/batch/)
+* [Azure Batch](/azure/batch/)
 
   * [Basics of Batch](/azure/azure-sql/database/sql-database-paas-overview)
   * [Overview of Batch features](../../batch/batch-service-workflow-features.md))

articles/ddos-protection/ddos-protection-overview.md

@@ -59,7 +59,7 @@ The following table shows features and corresponding SKUs.
 Simplified configuration immediately protects all resources on a virtual network as soon as DDoS Protection Standard is enabled. No intervention or user definition is required.
 
 ### Multi-Layered protection:
-When deployed with a web application firewall (WAF), DDoS Protection Standard protects both at the network layer (Layer 3 and 4, offered by Azure DDoS Protection Standard) and at the application layer (Layer 7, offered by a WAF). WAF offerings include Azure [Application Gateway WAF SKU](../web-application-firewall/ag/ag-overview.md?toc=%2fazure%2fvirtual-network%2ftoc.json) and third-party web application firewall offerings available in the [Azure Marketplace](https://azuremarketplace.microsoft.com/marketplace/apps?page=1&search=web%20application%20firewall).
+When deployed with a web application firewall (WAF), DDoS Protection Standard protects both at the network layer (Layer 3 and 4, offered by Azure DDoS Protection Standard) and at the application layer (Layer 7, offered by a WAF). WAF offerings include Azure [Application Gateway WAF SKU](../web-application-firewall/ag/ag-overview.md?toc=/azure/virtual-network/toc.json) and third-party web application firewall offerings available in the [Azure Marketplace](https://azuremarketplace.microsoft.com/marketplace/apps?page=1&search=web%20application%20firewall).
 
 ### Extensive mitigation scale
  All L3/L4 attack vectors can be mitigated, with global capacity, to protect against the largest known DDoS attacks.

articles/ddos-protection/ddos-protection-reference-architectures.md

@@ -45,7 +45,7 @@ In this architecture, DDoS Protection Standard is enabled on the virtual network
 
 ### PaaS web application
 
-This reference architecture shows running an Azure App Service application in a single region. This architecture shows a set of proven practices for a web application that uses [Azure App Service](https://azure.microsoft.com/documentation/services/app-service/) and [Azure SQL Database](https://azure.microsoft.com/documentation/services/sql-database/).
+This reference architecture shows running an Azure App Service application in a single region. This architecture shows a set of proven practices for a web application that uses [Azure App Service](/azure/app-service/) and [Azure SQL Database](/azure/sql-database/).
 A standby region is set up for failover scenarios.
 
 ![Diagram of the reference architecture for a PaaS web application](./media/ddos-best-practices/image-11.png)
@@ -70,7 +70,7 @@ This reference architecture shows configuring DDoS Protection Standard for an [A
 
 In this architecture, traffic destined to the HDInsight cluster from the internet is routed to the public IP associated with the HDInsight gateway load balancer. The gateway load balancer then sends the traffic to the head nodes or the worker nodes directly. Because DDoS Protection Standard is enabled on the HDInsight virtual network, all public IPs in the virtual network get DDoS protection for Layer 3 and 4. This reference architecture can be combined with the N-Tier and multi-region reference architectures.
 
-For more information on this reference architecture, see the [Extend Azure HDInsight using an Azure Virtual Network](../hdinsight/hdinsight-plan-virtual-network-deployment.md?toc=%2fazure%2fvirtual-network%2ftoc.json)
+For more information on this reference architecture, see the [Extend Azure HDInsight using an Azure Virtual Network](../hdinsight/hdinsight-plan-virtual-network-deployment.md?toc=/azure/virtual-network/toc.json)
 documentation.
 
 

articles/education-hub/azure-dev-tools-teaching/program-faq.yml

@@ -41,7 +41,7 @@ sections:
       - question: |
           Why did I receive an invoice from Microsoft?
         answer: |
-          You may receive an invoice from Microsoft detailing the usage you incurred in the previous month while on Azure for Students.  Don’t worry, you do not have to pay for that usage – it’s all covered by the credit provided by Azure for Students.  To learn more about invoices and how they work, check out the [article](../../cost-management-billing/understand/mca-overview.md) on docs.microsoft.com 
+          You may receive an invoice from Microsoft detailing the usage you incurred in the previous month while on Azure for Students.  Don’t worry, you do not have to pay for that usage – it’s all covered by the credit provided by Azure for Students.  To learn more about invoices and how they work, check out the [article](../../cost-management-billing/understand/mca-overview.md) on Microsoft technical documentation 
       
       - question: |
           What are subscriptions, and how do they relate to Azure for Students?

articles/event-grid/index.yml

@@ -53,7 +53,7 @@ landingContent:
           - text: Route custom events to a web endpoint
             url: custom-event-quickstart-portal.md
           - text: Send events from a private container registry
-            url: ../container-registry/container-registry-event-grid-quickstart.md?toc=%2fazure%2fevent-grid%2ftoc.json
+            url: ../container-registry/container-registry-event-grid-quickstart.md?toc=/azure/event-grid/toc.json
   # Card
   - title: Tutorials
     linkLists:
@@ -68,7 +68,7 @@ landingContent:
           - text: Email when IoT Hub device is added
             url: publish-iot-hub-events-to-logic-apps.md
           - text: Respond to Service Bus events
-            url: ../service-bus-messaging/service-bus-to-event-grid-integration-example.md?toc=%2fazure%2fevent-grid%2ftoc.json
+            url: ../service-bus-messaging/service-bus-to-event-grid-integration-example.md?toc=/azure/event-grid/toc.json
           - text: Stream data from Event Hubs
             url: event-grid-event-hubs-integration.md
           - text: Route Media Services events
@@ -144,4 +144,3 @@ landingContent:
         links:
           - text: Install Event Grid extension
             url: ./kubernetes/install-k8s-extension.md
-