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Merge pull request #50071 from PhilKang0704/broken-link-fix-wwlpublish
Broken links fixing - wwlpublish
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learn-pr/wwl-azure/manage-access/includes/8-use-azure-virtual-desktop-with-intune.md

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## Create the configuration profile
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To configure configuration policies for Windows 10 or Windows 11 Enterprise multi-session VMs, you'll need to use the [Settings catalog](https://github.com/MicrosoftDocs/memdocs/blob/main/memdocs/intune/configuration/settings-catalog.md) in the Microsoft Endpoint Manager admin center.
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To configure configuration policies for Windows 10 or Windows 11 Enterprise multi-session VMs, you'll need to use the [Settings catalog](https://github.com/MicrosoftDocs/memdocs/blob/main/intune/intune-service/configuration/settings-catalog.md) in the Microsoft Endpoint Manager admin center.
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The existing device configuration profile templates aren't supported for Windows 10 or Windows 11 Enterprise multi-session VMs, except for the following templates:
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- [Trusted certificate](https://github.com/MicrosoftDocs/memdocs/blob/main/memdocs/intune/protect/certificates-trusted-root.md#create-trusted-certificate-profiles) \- Device (machine) only
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- [SCEP certificate](https://github.com/MicrosoftDocs/memdocs/blob/main/memdocs/intune/protect/certificates-profile-scep.md#create-a-scep-certificate-profile) \- Device (machine) only
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- [PKCS certificate](https://github.com/MicrosoftDocs/memdocs/blob/main/memdocs/intune/protect/certificates-pfx-configure.md#create-a-pkcs-certificate-profile) \- Device (machine) only
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- [VPN](https://github.com/MicrosoftDocs/memdocs/blob/main/memdocs/intune/configuration/vpn-settings-configure.md#create-the-profile) \- Device Tunnel only
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- [Trusted certificate](https://github.com/MicrosoftDocs/memdocs/blob/main/intune/intune-service/protect/certificates-trusted-root.md) \- Device (machine) only
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- [SCEP certificate](https://github.com/MicrosoftDocs/memdocs/blob/main/intune/intune-service/protect/certificates-profile-scep.md) \- Device (machine) only
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- [PKCS certificate](https://github.com/MicrosoftDocs/memdocs/blob/main/intune/intune-service/protect/certificates-pfx-configure.md) \- Device (machine) only
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- [VPN](https://github.com/MicrosoftDocs/memdocs/blob/main/intune/intune-service/configuration/vpn-settings-configure.md) \- Device Tunnel only
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Microsoft Intune won't deliver unsupported templates to multi-session devices, and those policies appear as *Not applicable* in reports.
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learn-pr/wwl-azure/manage-sap-hana-azure-large-instances/includes/7-scale-hana-large-instances.md

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## SAP HANA data tiering and extension nodes
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SAP supports a data tiering model for SAP BW of different SAP NetWeaver releases and SAP BW/4HANA. With HANA Large Instance, you can use option-1 configuration of SAP HANA extension nodes as explained in [SAP BW/4HANA and SAP BW-on-HANA with SAP HANA Extension Nodes](https://www.sap.com/documents/2018/05/9878c71f-037d-0010-87a3-c30de2ffd8ff.html?url_id=text-glo-404-reclink). Option-2 configurations can be set up with the following HANA Large Instance SKUs: S72m, S192, S192m, S384, and S384m.
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SAP supports a data tiering model for SAP BW of different SAP NetWeaver releases and SAP BW/4HANA. With HANA Large Instance, you can use option-1 configuration of SAP HANA extension nodes as explained in [SAP BW/4HANA and SAP BW-on-HANA with SAP HANA Extension Nodes](https://support.sap.com/en/my-support/software-downloads.html?url_id=text-glo-404-reclink). Option-2 configurations can be set up with the following HANA Large Instance SKUs: S72m, S192, S192m, S384, and S384m.
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When you look at the documentation, the advantage might not be visible immediately. But when you look at the SAP sizing guidelines, you can see an advantage by using option-1 and option-2 SAP HANA extension nodes. Here are examples:
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learn-pr/wwl-data-ai/build-generative-ai-applications-with-azure-cosmos-db-nosql/index.yml

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- Integrate data and AI models using LangChain orchestration to create intelligent and adaptable Generative AI application.
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prerequisites: |
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Before starting this module, you should have a basic understanding of Python development, Azure Cosmos DB for NoSQL, working with AI models, and understand the concepts associated with retrieval augmented generated (RAG) patterns.
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iconUrl: /training/achievements/azure-cosmos-db-build-copilots.svg
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iconUrl: /training/achievements/build-generative-ai-applications-with-azure-cosmos-db-nosql.svg
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levels:
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- intermediate
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roles:

learn-pr/wwl-data-ai/make-recommendations-ai-personalizer/includes/8-exercise.md

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To complete the lab, launch the exercise and follow the instructions.
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[![Button to launch exercise.](../media/launch-exercise.png)](https://microsoftlearning.github.io/mslearn-ai-services/Instructions/Exercises/05-personalizer-exercise.html?azure-portal=true)
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[![Button to launch exercise.](../media/launch-exercise.png)](https://microsoftlearning.github.io/mslearn-ai-services/Instructions/Exercises/01-use-azure-ai-services.html)
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> [!TIP]
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> After completing the exercise, if you've finished exploring Azure AI services, delete the Azure resources that you created during the exercise.

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