Merge pull request #295662 from kenwith/fixes-build-validation-issues-links

Resolves build issues: absolute links, table formatting, preserve view, alt text duplication.

Author: JamesJBarnett

articles/app-service/invoke-openapi-web-app-from-azure-ai-agent-service.md

@@ -11,7 +11,7 @@ ms.collection: ce-skilling-ai-copilot
 
 # Invoke an OpenAPI App Service web app from Azure AI Agent Service
 
-[Azure AI Agent Service](https://learn.microsoft.com/azure/ai-services/agents/overview) allows you to create AI agents tailored to your needs through custom instructions and augmented by advanced tools like code interpreter, and custom functions. You can now connect your Azure AI Agent to an external API using an [OpenAPI 3.0](https://www.openapis.org/what-is-openapi) specified tool, allowing for scalable interoperability with various applications. 
+[Azure AI Agent Service](/azure/ai-services/agents/overview) allows you to create AI agents tailored to your needs through custom instructions and augmented by advanced tools like code interpreter, and custom functions. You can now connect your Azure AI Agent to an external API using an [OpenAPI 3.0](https://www.openapis.org/what-is-openapi) specified tool, allowing for scalable interoperability with various applications. 
 
 Azure App Service is a fully managed platform for building, deploying, and scaling web apps and APIs. If your API is hosted on Azure App Service, you can connect your AI Agent to the API using the OpenAPI specification. The OpenAPI specification defines the API and how to interact with it. You can then use natural language to invoke the API through your AI Agent.
 
@@ -21,7 +21,7 @@ In the following tutorial, you're using an Azure AI Agent to invoke an API hoste
 
 To complete this tutorial, you need an Azure AI Agent project and a RESTful API hosted on Azure App Service. The API should have an OpenAPI specification that defines the API. The OpenAPI specification for the sample app in this tutorial is provided.
 
-1. Ensure you complete the prerequisites and setup steps in the [quickstart](https://learn.microsoft.com/azure/ai-services/agents/quickstart?pivots=programming-language-python-azure). This quickstart walks you through creating your Azure AI Hub and Agent project. You should complete the agent configuration and agent sample the quickstart provides to get a full understanding of the tool and ensure your setup works.
+1. Ensure you complete the prerequisites and setup steps in the [quickstart](/azure/ai-services/agents/quickstart?pivots=programming-language-python-azure). This quickstart walks you through creating your Azure AI Hub and Agent project. You should complete the agent configuration and agent sample the quickstart provides to get a full understanding of the tool and ensure your setup works.
 1. Ensure you have [Git installed](https://git-scm.com/downloads).
 1. Ensure you have the latest [.NET 9.0 SDK installed](https://dotnet.microsoft.com/download/dotnet/9.0).
 1. Follow the guidance in the next section to create the sample app and deploy it to Azure App Service. The sample app is a simple to-do list app that allows you to create, read, update, and delete items from the list.
@@ -64,7 +64,7 @@ To complete this tutorial, you need an Azure AI Agent project and a RESTful API
 
 ### Create and review the OpenAPI specification
 
-Now that you have the required infrastructure, you can put it all together and start interacting with your API using your AI Agent. For a general overview on how to do get started, see [How to use Azure AI Agent Service with OpenAPI Specified Tools](https://learn.microsoft.com/azure/ai-services/agents/how-to/tools/openapi-spec?tabs=python&pivots=overview). That overview includes prerequisites and other requirements including how to include authentication if your API requires it. The provided sample API is publicly accessible so authentication isn't required.
+Now that you have the required infrastructure, you can put it all together and start interacting with your API using your AI Agent. For a general overview on how to do get started, see [How to use Azure AI Agent Service with OpenAPI Specified Tools](/azure/ai-services/agents/how-to/tools/openapi-spec?tabs=python&pivots=overview). That overview includes prerequisites and other requirements including how to include authentication if your API requires it. The provided sample API is publicly accessible so authentication isn't required.
 
 1. This specification is the OpenAPI specification for the sample app that is provided. On your local machine, create a file called `swagger.json` and copy the following contents.
 
@@ -324,7 +324,7 @@ Now that you have the required infrastructure, you can put it all together and s
 
 ### Create the OpenAPI Spec tool definition
 
-1. Create a file in the same directory as your `swagger.json` file called `tool.py`. Copy the following contents into the file. Ensure you complete the prerequisites and setup steps in the [quickstart](https://learn.microsoft.com/azure/ai-services/agents/quickstart?pivots=programming-language-python-azure) to get the required packages installed as well as get you logged into your Azure account.
+1. Create a file in the same directory as your `swagger.json` file called `tool.py`. Copy the following contents into the file. Ensure you complete the prerequisites and setup steps in the [quickstart](/azure/ai-services/agents/quickstart?pivots=programming-language-python-azure) to get the required packages installed as well as get you logged into your Azure account.
 
     ```python
     import os
@@ -397,7 +397,7 @@ Now that you have the required infrastructure, you can put it all together and s
         print("Deleted agent")
     ```
 
-1. Replace the placeholder for your project's connection string. If you need help with finding the connection string, see the [Configure and run agent section of the quickstart](https://learn.microsoft.com/azure/ai-services/agents/quickstart?pivots=programming-language-python-azure#configure-and-run-an-agent).
+1. Replace the placeholder for your project's connection string. If you need help with finding the connection string, see the [Configure and run agent section of the quickstart](/azure/ai-services/agents/quickstart?pivots=programming-language-python-azure#configure-and-run-an-agent).
 1. Review the file to understand how the OpenAPI tool is created and how the AI Agent is invoked. The OpenAPI specification is passed into the file. Each time the tool is invoked, the AI Agent uses the OpenAPI specification to determine how to interact with the API. The `message_content` variable is where you enter the natural language command that you want the AI Agent to perform. You're prompted to enter the message once you run the script. The AI Agent invokes the API and returns the results. It creates and deletes the AI Agent each time you run the script.
 
 ## Run the OpenAPI Spec tool

articles/baremetal-infrastructure/workloads/nc2-on-azure/about-nc2-on-azure.md

@@ -62,7 +62,7 @@ For further pricing details see: [Nutanix Cloud Clusters Pricing](https://www.nu
 ### Nodes in Azure
 A minimum of three nodes are required to deploy an NC2 on Azure cluster. For pricing, go to the [Nutanix Cloud Clusters on Azure pricing page](https://azure.microsoft.com/pricing/details/nutanix-on-azure/). 
 
-More cost savings on the hardware can be realized with reserved instances: [Save costs with reservations for Nutanix Cloud Clusters on Azure BareMetal infrastructure](https://learn.microsoft.com/azure/cost-management-billing/reservations/nutanix-bare-metal)
+More cost savings on the hardware can be realized with reserved instances: [Save costs with reservations for Nutanix Cloud Clusters on Azure BareMetal infrastructure](/azure/cost-management-billing/reservations/nutanix-bare-metal)
 
 ## Other cost benefits
 
@@ -86,7 +86,7 @@ For any additional questions on Azure Hybrid Benefit, contact your Microsoft Acc
 ### No-cost Extended Security Updates (ESU) for Windows Server
 Windows virtual machines (VMs) hosted in Azure, including NC2 on Azure, are eligible for Extended Security Updates (ESUs) free of charge. 
 
-For further information on ESUs, including qualifying Windows product versions and timelines see: [Extended Security Updates for Windows Server overview](https://learn.microsoft.com/windows-server/get-started/extended-security-updates-overview).
+For further information on ESUs, including qualifying Windows product versions and timelines see: [Extended Security Updates for Windows Server overview](/windows-server/get-started/extended-security-updates-overview).
 
 The process to get the Extended Security Updates for Windows VMs in NC2 on Azure requires a manual request, approval, and delivery. 
 

articles/devtest-labs/devtest-lab-gen2-vm.md

@@ -12,7 +12,7 @@ ms.custom: UpdateFrequency2
 
 Azure DevTest Labs allows you to choose between Generation 1 and Generation 2 version of the same marketplace image while creating a VM using Azure DevTest Labs portal. Generation 2 Virtual Machines (VMs) support key capabilities that are not supported in Generation 1 VMs such as increased memory, Intel Software Guard Extensions (Intel SGX), and virtualized persistent memory (vPMEM). Generation 2 VMs might have improved boot and installation times.
 
-For a VM instance to be a Generation 2 VM, it must use the specific Generation 2 base image and its VM size must support Generation 2. To learn more about Generation 2 VMs on Azure, the series of VMs that support Generation 2 images, and other limitations, please visit [Support for Generation 2 VMs on Azure](https://learn.microsoft.com/azure/virtual-machines/generation-2).
+For a VM instance to be a Generation 2 VM, it must use the specific Generation 2 base image and its VM size must support Generation 2. To learn more about Generation 2 VMs on Azure, the series of VMs that support Generation 2 images, and other limitations, please visit [Support for Generation 2 VMs on Azure](/azure/virtual-machines/generation-2).
 
 This article explains how to use Generation 2 images in Azure DevTest Labs.
 

articles/devtest-labs/devtest-lab-hibernate-vm.md

@@ -23,7 +23,7 @@ Hibernate is an effective cost management feature for:
 Azure DevTest Labs currently only supports enabling Hibernation on VM creation. To enable hibernation during VM creation, you can use the Azure portal and API. Hibernation can only be triggered from the API and the Azure portal and not directly from the VM.
 
 > [!NOTE]
-> Please note that Hibernation support is limited to certain VM sizes and OS versions. Make sure you have a supported configuration before using hibernation. To learn more about Hibernation in general, its supported configurations in Azure, and other limitations, please visit [Hibernation for Azure Virtual Machines](https://learn.microsoft.com/azure/virtual-machines/hibernate-resume)
+> Please note that Hibernation support is limited to certain VM sizes and OS versions. Make sure you have a supported configuration before using hibernation. To learn more about Hibernation in general, its supported configurations in Azure, and other limitations, please visit [Hibernation for Azure Virtual Machines](/azure/virtual-machines/hibernate-resume)
 
 This article explains how to Hibernate VMs in DevTest Labs.
 

articles/load-testing/how-to-create-notification-rules.md

@@ -33,7 +33,7 @@ Azure Load Testing supports the following events for notifications:
 
 ### Action groups
 
-[Action Groups](https://learn.microsoft.com/azure/azure-monitor/alerts/action-groups) are collections of notification preferences and actions that can be triggered by events. In the context of Azure Load Testing, they enable users to route notifications to email recipients, webhooks, or integrated tools like Azure Logic Apps.
+[Action Groups](/azure/azure-monitor/alerts/action-groups) are collections of notification preferences and actions that can be triggered by events. In the context of Azure Load Testing, they enable users to route notifications to email recipients, webhooks, or integrated tools like Azure Logic Apps.
 
 > [!NOTE]
 >  Action groups might incur additional costs. To view associated costs, refer to the [Azure Monitor pricing details.](https://azure.microsoft.com/pricing/details/monitor/)

articles/migrate/assessments-overview-migrate-to-azure-db-mysql.md

@@ -24,7 +24,7 @@ The Azure Migrate: Discovery and assessment tool supports the following types of
 **Azure VM** | Assessments to migrate your on-premises servers to Azure virtual machines.<br/><br>You can assess your on-premises servers in [VMware environment](vmware/how-to-set-up-appliance-vmware.md), [Hyper-V environment](how-to-set-up-appliance-hyper-v.md), and [physical servers](how-to-set-up-appliance-physical.md) for migration to Azure VMs using this assessment type.
 **Azure Databases** | Assessments to migrate your on-premises [SQL servers to Azure SQL Database or Azure SQL Managed Instance](concepts-azure-sql-assessment-calculation.md), or on-premises MySQL database instances to Azure Database for MySQL.
 **Web apps on Azure** | Assessments to migrate your on-premises [Spring Boot apps to Azure Spring Apps](concepts-azure-spring-apps-assessment-calculation.md) or [ASP.NET/Java web apps to Azure App Service](concepts-azure-webapps-assessment-calculation.md).
-**Azure VMware Solution (AVS)** | Assessments to migrate your on-premises [VMware VMs](vmware/how-to-set-up-appliance-vmware.md) to [Azure VMware Solution (AVS)](https://learn.microsoft.com/azure/azure-vmware/introduction). [Learn more](concepts-azure-vmware-solution-assessment-calculation.md).
+**Azure VMware Solution (AVS)** | Assessments to migrate your on-premises [VMware VMs](vmware/how-to-set-up-appliance-vmware.md) to [Azure VMware Solution (AVS)](/azure/azure-vmware/introduction). [Learn more](concepts-azure-vmware-solution-assessment-calculation.md).
 
 
 ## MySQL assessments - Overview and sizing criteria
@@ -54,7 +54,7 @@ The Azure Database for MySQL assessment properties includes:
 | **Setting** | **Details**
 | --- | ---
 | **Target location**  | The Azure region to which you want to migrate. Azure Database for MySQL configuration and cost recommendations are based on the location that you specify.
-|**Target and pricing settings** | **Environment type** | The environment for the MySQL deployments to apply Azure Database for MySQL configuration and cost recommendations applicable to Production or Development/Testing.
+|**Target and pricing settings**  **Environment type** | The environment for the MySQL deployments to apply Azure Database for MySQL configuration and cost recommendations applicable to Production or Development/Testing.
 | **Licensing program**  | The Azure offer if you're enrolled. Currently, the field is Pay-as-you-go by default, which gives you retail Azure prices.
 | **Currency** | The billing currency for your account.
 | **Savings options**  | Specify the reserved capacity savings option that you want the assessment to consider to optimize your Azure compute cost. <br/><br> Azure reservations (one year or three years reserved) are a good option for the most consistently running resources. <br/><br> When you select None, the Azure compute cost is based on the Pay-as-you-go rate or based on actual usage. <br/><br> You need to select pay-as-you-go in the offer/licensing program to be able to use Reserved Instances. When you select any savings option other than None, the Discount (%) setting isn’t applicable. The monthly cost estimates are calculated by multiplying 744 hours with the hourly price of the recommended SKU.
@@ -122,13 +122,13 @@ During the discovery process, Azure Migrate collects the MySQL instance configur
 - Total number of connections made to the MySQL instance.
 - **Read-write ratio**: Used to determine whether the workload is memory-intensive or CPU-intensive, which in turn helps decide the appropriate service tier.
 
-The assessment aggregates all the configuration and performance data and tries to find the best match across the [various Azure Database for MySQL service tiers and configurations](https://learn.microsoft.com/azure/mysql/flexible-server/concepts-service-tiers-storage), selecting a configuration that can match or exceed the MySQL instance performance requirements, and  optimizing the cost.
+The assessment aggregates all the configuration and performance data and tries to find the best match across the [various Azure Database for MySQL service tiers and configurations](/azure/mysql/flexible-server/concepts-service-tiers-storage), selecting a configuration that can match or exceed the MySQL instance performance requirements, and  optimizing the cost.
 
 ### Storage sizing
 Azure Migrate calculates the total disk space used by the MySQL instance (including database files, temporary files, transaction logs, and the MySQL server logs) and suggests the recommended storage to provision in Azure Database for MySQL. For Burstable and General Purpose service tiers, the storage range spans from a minimum of 20 GiB to a maximum of 16 TiB, while for the Business Critical service tier, the storage support extends up to 32 TiB. In all service tiers, storage is scaled in 1 GiB increments and can be scaled up (but not down) after the server is created.
 
 ### IOPS sizing
-Azure Migrate recommends the [Autoscale IOPS feature in Azure Database for MySQL](https://learn.microsoft.com/azure/mysql/flexible-server/concepts-service-tiers-storage#autoscale-iops), which enables the MySQL instance to automatically scale the database instance’s performance (IO) seamlessly and independent of the selected storage size, depending on the workload needs. With Autoscale IOPS, you pay only for the IO the server uses, eliminating the need to provision and pay for resources that aren't fully utilized, thereby saving time and money.
+Azure Migrate recommends the [Autoscale IOPS feature in Azure Database for MySQL](/azure/mysql/flexible-server/concepts-service-tiers-storage#autoscale-iops), which enables the MySQL instance to automatically scale the database instance’s performance (IO) seamlessly and independent of the selected storage size, depending on the workload needs. With Autoscale IOPS, you pay only for the IO the server uses, eliminating the need to provision and pay for resources that aren't fully utilized, thereby saving time and money.
 
 ## Confidence ratings
 
@@ -190,5 +190,5 @@ To calculate the compute, storage and IO costs for an Azure Database for MySQL c
 ## Next steps
 
  - [Learn how to run a MySQL assessment](create-mysql-assessment.md).
- - [Get started on your MySQL migration journey to Azure Database for MySQL](https://learn.microsoft.com/training/modules/choose-tool-to-migrate-data-to-azure-database-for-mysql/).
+ - [Get started on your MySQL migration journey to Azure Database for MySQL](/training/modules/choose-tool-to-migrate-data-to-azure-database-for-mysql/).