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Merge pull request #49097 from PhilKang0704/broken-link-fix-wwlpublish
Broken links fixing - wwlpublish
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learn-pr/wwl-azure/describe-significant-government-strategy-actions/includes/17-understand-memorandum.md

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In 2015, the Federal Government's CFO Act empowered the Department of Homeland Security and Office of Management and Budget to identify the government's most critical assets, which it deemed high value assets (HVA), and mitigate risk.
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In 2017, the OMB formally created the High Value Asset Program through [Memorandum M-19-03](https://www.whitehouse.gov/wp-content/uploads/2018/12/M-19-03.pdf), with the intent of providing clarification and guidance toward protecting HVAs.
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In 2017, the OMB formally created the High Value Asset Program through Memorandum M-19-03, with the intent of providing clarification and guidance toward protecting HVAs.
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The memorandum begins that it seeks to expand its support to all agencies in the identification, assessment, remediation, and response to incidents.
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learn-pr/wwl-azure/describe-significant-government-strategy-actions/includes/22-describe-memorandum-making-smarter-use-of-common-contract-solution.md

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:::column-end:::
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On March 20, 2019, the Office of Management and Budget Director published [Memorandum M-19-13](https://www.whitehouse.gov/wp-content/uploads/2019/03/M-19-13.pdf).
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On March 20, 2019, the Office of Management and Budget Director published Memorandum M-19-13.
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The purpose of the Memorandum is to provide guidance on the "practice of buying common goods and services as an enterprise to eliminate redundancies, increase efficiency, and deliver more value and savings from the Government's acquisition programs."
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learn-pr/wwl-azure/design-azure-virtual-desktop-architecture/includes/7-configure-location-azure-virtual-desktop-metadata.md

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Azure Virtual Desktop is currently available for all geographical locations. Administrators can choose the location to store user data when they create the host pool virtual machines and associated services, such as file servers. Learn more about Azure geographies at the [Azure datacenter map](https://azuredatacentermap.azurewebsites.net/).
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Azure Virtual Desktop is currently available for all geographical locations. Administrators can choose the location to store user data when they create the host pool virtual machines and associated services, such as file servers. Learn more about Azure geographies at the [Azure datacenter map](https://datacenters.microsoft.com/globe/explore/).
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:::image type="content" source="../media/client-access-af6b0cff-3d7e822f.png" alt-text="Graphic of Azure Virtual Desktop is currently available for all geographical locations.":::
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learn-pr/wwl-azure/plan-deploy-windows-server-iaas-virtual-machines/includes/9-summary.md

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- [Tutorial: Create and Manage Windows VMs with Azure PowerShell](https://aka.ms/tutorial-manage-vm?azure-portal=true).
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- [Sizes for virtual machines in Azure](https://aka.ms/Windows-VM-sizes-Azure?azure-portal=true)
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- [Azure Automanage](/azure/automanage/)
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- [What's new in Windows Server](/windows-server/get-started/whats-new-in-windows-server-2025)
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- [What's new in Windows Server](/windows-server/get-started/whats-new-windows-server-2025)

learn-pr/wwl-data-ai/introduction-language-models-databricks/includes/08-summary.md

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- [Get an introduction to Large Language Models](/training/modules/introduction-large-language-models/?azure-portal=true)
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- [Get an introduction to building generative AI solutions for developers](/azure/developer/ai/introduction-build-generative-ai-solutions?azure-portal=true)
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- [Explore how generative AI and LLMs work](/dotnet/ai/conceptual/how-genai-and-llms-work?azure-portal=true)
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- [Explore a guide to working with Large Language Models](/ai/playbook/technology-guidance/generative-ai/working-with-llms/?azure-portal=true)
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- [Explore a guide to working with Large Language Models](/shows/generative-ai-for-beginners/introduction-to-generative-ai-and-llms-generative-ai-for-beginners)

learn-pr/wwl-data-ai/prepare-azure-ai-development/includes/5-tools-and-sdks.md

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You can develop AI applications using many common programming languages and frameworks, including Microsoft C#, Python, Node, TypeScript, Java, and others. When building AI solutions on Azure, some common SDKs you should plan to install and use include:
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- The **[Azure AI Foundry SDK](/azure/ai-studio/how-to/develop/sdk-overview?azure-portal=true)**, which enables you to write code to connect to Azure AI Foundry projects and access resource connections, which you can then work with using service-specific SDKs.
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- **[Azure AI Services SDKs](/azure/ai-services/reference/sdk-package-resources?azure-portal=true)** - AI service-specific libraries for multiple programming languages and frameworks that enable you to consume Azure AI Services resources in your subscription. You can also use Azure AI Services through their [REST APIs](/ai-services/reference/rest-api-resources?azure-portal=true).
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- **[Azure AI Services SDKs](/azure/ai-services/reference/sdk-package-resources?azure-portal=true)** - AI service-specific libraries for multiple programming languages and frameworks that enable you to consume Azure AI Services resources in your subscription. You can also use Azure AI Services through their [REST APIs](/azure/ai-services/reference/rest-api-resources).
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- The **[Azure AI Agent Service](/azure/ai-services/agents/overview?azure-portal=true)**, which is accessed through the Azure AI Foundry SDK and can be integrated with frameworks like [AutoGen](https://microsoft.github.io/autogen/0.2/docs/Getting-Started?azure-portal=true) and [Semantic Kernel](/semantic-kernel/overview?azure-portal=true) to build comprehensive AI agent solutions.
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- The **[Prompt Flow](https://microsoft.github.io/promptflow/index.html?azure-portal=true)** SDK, which you can use to implement orchestration logic to manage prompt interactions with generative AI models.

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