Merge pull request #54075 from MicrosoftDocs/main

Auto Publish – main to live - 2026-04-01 17:00 UTC

Author: learn-build-service-prod[bot]

learn-pr/wwl-azure/configure-azure-app-services/includes/9-backup-app-service.md

@@ -8,8 +8,8 @@ The **Backups** page lists all the automatic and custom backups for your app and
 
 Examine the following details about the Backup and Restore feature. Think about how you can implement this feature for your App Service apps.
 
-- To use the Backup and Restore feature, you need the Standard or Premium tier App Service plan for your app or site.
-
+- Back up and restore is supported in the Basic, Standard, Premium, and Isolated tiers. For the Basic tier, you can only back up and restore the production slot.
+  
 - You need an Azure storage account and container in the same subscription as the app to back up.
 
 - Azure App Service can back up the following information to the Azure storage account and container you configured for your app:
@@ -47,4 +47,4 @@ Let's review some considerations about creating a backup for your app or site, a
 
 - **Consider browsing back-up files**. Unzip and browse the Zip and XML files associated with your backup to access your backups. This option lets you view the content without actually performing an app or site restore.
 
-- **Consider firewall on back-up destination**. If your storage account is enabled with a firewall, you can't use the storage account as the destination for your backups.
+- **Consider firewall on back-up destination**. If your storage account is enabled with a firewall, you can't use the storage account as the destination for your backups.

learn-pr/wwl-azure/design-ai-workloads/includes/2-strategy.md

@@ -8,7 +8,7 @@ SaaS offerings are turnkey AI solutions like Microsoft 365 Copilot, Copilot Stud
 
 SaaS offerings require minimal setup and are ideal for organizations seeking rapid productivity gains and role-specific AI features.
 
-- [Microsoft Copilot](/azure/copilot/overview) is a free web-grounded chat application. Copilot Pro provides better performance, capacity, and access to Copilot in certain Microsoft 365 apps.
+- Microsoft Copilot is a free web-grounded chat application. Copilot Pro provides better performance, capacity, and access to Copilot in certain Microsoft 365 apps.
 
 - [Microsoft 365 Copilot](/copilot/microsoft-365/microsoft-365-copilot-overview) provides web-grounded chat and in-app AI assistance across Microsoft 365 applications, integrating with your Microsoft Graph data.
 
@@ -22,9 +22,9 @@ Platform services include Microsoft Foundry, Azure OpenAI, Azure Machine Learnin
 
 PaaS solutions are suited for teams that need more control over their AI workflows and want to apply prebuilt APIs or custom models.
 
-- [Microsoft Foundry](/azure/ai-foundry/what-is-azure-ai-foundry) is a unified Azure platform-as-a-service offering for enterprise AI operations, model builders, and application development. This foundation combines production-grade infrastructure with friendly interfaces, enabling developers to focus on building applications rather than managing infrastructure.
+- [Microsoft Foundry](/azure/ai-foundry/what-is-foundry) is a unified Azure platform-as-a-service offering for enterprise AI operations, model builders, and application development. This foundation combines production-grade infrastructure with friendly interfaces, enabling developers to focus on building applications rather than managing infrastructure.
 
-- [Azure Machine Learning](/azure/machine-learning/overview-what-is-azure-machine-learning) is a unified Azure platform-as-a-service offering for enterprise AI operations, model builders, and application development. This foundation combines production-grade infrastructure with friendly interfaces, enabling developers to focus on building applications rather than managing infrastructure.
+- [Azure Machine Learning](/azure/machine-learning/overview-what-is-azure-machine-learning) is a cloud service that accelerates and manages the machine learning project lifecycle. ML professionals, data scientists, and engineers use it in their daily workflows to train and deploy models and manage machine learning operations. Use Azure ML when you need open-source framework support for custom model development.
 
 - [Azure OpenAI](/azure/ai-foundry/foundry-models/concepts/models-sold-directly-by-azure) provides access to generative AI models including a family of large and small neural network language models. Models operate within a scalable and securable cloud service on Azure.
 
@@ -41,4 +41,4 @@ Azure infrastructure services give you the most control when your AI workload ha
 For example, a healthcare organization might deploy its workloads on Azure virtual machines. Using Azure IaaS gives the team complete control over the software, hardware, and data on those machines. While IaaS offers maximum flexibility and control, it also comes with higher operational effort and requires deeper AI and infrastructure expertise.
 
 > [!TIP]
-> Take a moment to review the [AI product decision tree](/azure/cloud-adoption-framework/scenarios/ai/strategy#microsoft-ai-decision-tree). Which AI products best align with your organization’s goals?
+> Take a moment to review the [AI product decision tree](/azure/cloud-adoption-framework/scenarios/ai/strategy#microsoft-ai-decision-tree). Which AI products best align with your organization’s goals? If your strategy includes agentic workloads, review the [AI agent decision tree](/azure/cloud-adoption-framework/ai-agents/technology-solutions-plan-strategy#ai-agent-decision-tree) for guidance on choosing between SaaS agents, Copilot Studio, and Microsoft Foundry.

learn-pr/wwl-azure/design-ai-workloads/includes/6-governance.md

@@ -2,7 +2,7 @@ Governing AI is about making sure your organization uses AI safely, responsibly,
 
 ### Apply AI principles
 
-Begin by assessing risks across your organization. Microsoft recommends evaluating risks through [Responsible AI principles](https://www.microsoft.com/ai/principles-and-approach). These principles include accountability, fairness, reliability, privacy, inclusiveness, and transparency.
+Begin by assessing risks across your organization. Microsoft recommends evaluating risks through [Responsible AI principles](https://www.microsoft.com/ai/principles-and-approach). These principles include accountability, fairness, reliability and safety, privacy and security, inclusiveness, and transparency.
 
 :::image type="content" source="../media/principles.png" alt-text="Diagram of the basic artificial intelligence principles.":::
 

learn-pr/wwl-azure/design-ai-workloads/includes/8-manage.md

@@ -1,4 +1,4 @@
-Managing AI operations is about keeping your AI work consistent and reliable. Create an [AI Center of Excellence](/azure/cloud-adoption-framework/scenarios/ai/center-of-excellence) to guide strategy, choose the right framework (MLOps or GenAIOps), and standardize SDKs and APIs. Use sandboxes for safe experimentation and simplify tuning with tools like [Copilot Tuning.](/copilot/microsoft-365/copilot-tuning-overview) 
+Managing AI operations is about keeping your AI work consistent and reliable. Create an [AI Center of Excellence](/azure/cloud-adoption-framework/scenarios/ai/center-of-excellence) to guide strategy, choose the right framework (MLOps or GenAIOps), and standardize SDKs and APIs. Use sandboxes for safe experimentation and simplify tuning with tools like [Copilot Tuning](/copilot/microsoft-365/copilot-tuning-overview) (early access preview).  
 
 > [!TIP]
 > To learn more, consider the [Introduction to AI Center of Excellence](/training/modules/intro-ai-center-excellence/) training module.
@@ -8,7 +8,7 @@ Managing AI operations is about keeping your AI work consistent and reliable. Cr
 
 ### AI deployment 
 
-Use the deployment model that fits how your org works, usually one Foundry instance per business unit, with separate projects for each use case. Deploy in the correct Azure regions for performance and compliance. Monitor resources with Azure Monitor and manage configurations and costs through the [Foundry Management Center](/azure/ai-foundry/control-plane/how-to-manage-compliance-security). Use API Management when multiple apps are deployed.
+Use the deployment model that fits how your org works, usually one Foundry instance per business unit, with separate projects for each use case. Deploy in the correct Azure regions for performance and compliance. Monitor resources with Azure Monitor and manage configurations and costs through the [Foundry Control Plane](/azure/ai-foundry/control-plane/how-to-manage-compliance-security). Use API Management when multiple apps are deployed.
 
 ### AI models 
 

learn-pr/wwl-azure/design-ai-workloads/index.yml

@@ -3,7 +3,7 @@ uid: learn.wwl.design-ai-workloads
 metadata:
   title: "Design AI Workloads on Azure"
   description: "Learn to design AI workloads on Azure using SaaS, PaaS, and IaaS solutions. Align AI strategy with business goals and apply governance best practices."
-  ms.date: 01/26/2026
+  ms.date: 03/23/2026
   author: wwlpublish
   ms.author: cynthist
   ms.topic: module

learn-pr/wwl-azure/guided-project-deploy-administer-linux-virtual-machines-azure/2-exercise-configure-virtual-machine.yml

@@ -4,10 +4,10 @@ title: Exercise - Create and configure Linux virtual machines
 metadata:
   title: Exercise - Create and configure Linux virtual machines
   description: "Exercise - Create and configure Linux virtual machines"
-  ms.date: 07/30/2024
+  ms.date: 03/23/2026
   author: wwlpublish
   ms.author: cynthist
   ms.topic: unit
 durationInMinutes: 45
 content: |
-  [!include[](includes/2-exercise-configure-virtual-machine.md)]
+  [!include[](includes/2-exercise-configure-virtual-machine.md)]

learn-pr/wwl-azure/guided-project-deploy-administer-linux-virtual-machines-azure/3-exercise-monitor-virtual-machines.yml

@@ -4,10 +4,10 @@ title: Exercise - Monitor virtual machines
 metadata:
   title: Exercise - Monitor virtual machines
   description: "Exercise - Monitor Linux virtual machines"
-  ms.date: 07/30/2024
+  ms.date: 03/23/2026
   author: wwlpublish
   ms.author: cynthist
   ms.topic: unit
 durationInMinutes: 45
 content: |
-  [!include[](includes/3-exercise-monitor-virtual-machines.md)]
+  [!include[](includes/3-exercise-monitor-virtual-machines.md)]

learn-pr/wwl-azure/guided-project-deploy-administer-linux-virtual-machines-azure/4-exercise-storage-virtual-machines.yml

@@ -4,10 +4,10 @@ title: Exercise - Configure storage for virtual machines
 metadata:
   title: Exercise - Configure storage for virtual machines
   description: "Exercise - Configure storage for Linux virtual machines"
-  ms.date: 07/30/2024
+  ms.date: 03/23/2026
   author: wwlpublish
   ms.author: cynthist
   ms.topic: unit
 durationInMinutes: 45
 content: |
-  [!include[](includes/4-exercise-storage-virtual-machines.md)]
+  [!include[](includes/4-exercise-storage-virtual-machines.md)]

learn-pr/wwl-azure/guided-project-deploy-administer-linux-virtual-machines-azure/5-exercise-backup-virtual-machines.yml

@@ -4,10 +4,10 @@ title: Exercise - Back up virtual machines
 metadata:
   title: Exercise - Back up virtual machines
   description: "Exercise - Back up Linux virtual machines"
-  ms.date: 07/30/2024
+  ms.date: 03/23/2026
   author: wwlpublish
   ms.author: cynthist
   ms.topic: unit
 durationInMinutes: 30
 content: |
-  [!include[](includes/5-exercise-backup-virtual-machines.md)]
+  [!include[](includes/5-exercise-backup-virtual-machines.md)]

learn-pr/wwl-azure/guided-project-deploy-administer-linux-virtual-machines-azure/6-knowledge-check.yml

@@ -4,7 +4,7 @@ title: Module assessment
 metadata:
   title: Module assessment
   description: "Knowledge check"
-  ms.date: 07/30/2024
+  ms.date: 03/23/2026
   author: wwlpublish
   ms.author: cynthist
   ms.topic: unit
@@ -47,4 +47,4 @@ quiz:
       explanation: "Correct. The Storage Blob Data Contributor role provides read, write, and delete permissions."
     - content: "Storage Blob Delegator."
       isCorrect: false
-      explanation: "Incorrect. The Storage Blob Delegator role provides a user delegation key, which can then be used to create a shared access signature."
+      explanation: "Incorrect. The Storage Blob Delegator role provides a user delegation key, which can then be used to create a shared access signature."