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articles/active-directory-b2c/best-practices.md

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| Choose user flows for most scenarios | The Identity Experience Framework of Azure AD B2C is the core strength of the service. Policies fully describe identity experiences such as sign-up, sign-in, or profile editing. To help you set up the most common identity tasks, the Azure AD B2C portal includes predefined, configurable policies called user flows. With user flows, you can create great user experiences in minutes, with just a few clicks. [Learn when to use user flows vs. custom policies](user-flow-overview.md#comparing-user-flows-and-custom-policies).|
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| App registrations | Every application (web, native) and API that is being secured must be registered in Azure AD B2C. If an app has both a web and native version of iOS and Android, you can register them as one application in Azure AD B2C with the same client ID. Learn how to [register OIDC, SAML, web, and native apps](./tutorial-register-applications.md?tabs=applications). Learn more about [application types that can be used in Azure AD B2C](./application-types.md). |
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| Move to monthly active users billing | Azure AD B2C has moved from monthly active authentications to monthly active users (MAU) billing. Most customers will find this model cost-effective. [Learn more about monthly active users billing](https://azure.microsoft.com/updates/mau-billing/). |
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| Follow Security best practices | There are continuous and evolving threats and attacks, and like all owned resources, your Azure AD B2C deployment should follow best practices for security, including guidance on implementing WAFs (defense against threats such as DDOS and Bots) and other defense in depth best guidance [B2C Security Architecture](/azure/active-directory-b2c/security-architecture). |
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## Planning and design
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articles/ai-studio/how-to/develop/simulator-interaction-data.md

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azure_ai_project = {
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"subscription_id": <sub_ID>,
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"resource_group_name": <resource_group_name>,
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"workspace_name": <workspace_name>,
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"project_name": <project_name>,
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"credential": DefaultAzureCredential(),
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}
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```

articles/aks/best-practices-cost.md

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It's important to evaluate the resource requirements of your application prior to deployment. Small development workloads have different infrastructure needs than large production ready workloads. While a combination of CPU, memory, and networking capacity configurations heavily influences the cost effectiveness of a SKU, consider the following VM types:
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- [**Azure Spot Virtual Machines**](/azure/virtual-machines/spot-vms) - [Spot node pools](./spot-node-pool.md) are backed by Azure Spot Virtual machine scale sets and deployed to a single fault domain with no high availability or SLA guarantees. Spot VMs allow you to take advantage of unutilized Azure capacity with significant discounts (up to 90% as compared to pay-as-you-go prices). If Azure needs capacity back, the Azure infrastructure evicts the Spot nodes. _Best for dev/test environments, workloads that can handle interruptions such as batch processing jobs, and workloads with flexible execution time._
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- [**Ampere Altra Arm-based processors (ARM64)**](https://azure.microsoft.com/blog/now-in-preview-azure-virtual-machines-with-ampere-altra-armbased-processors/) - ARM64 VMs are power-efficient and cost effective but don't compromise on performance. With [AMR64 node pool support in AKS](./create-node-pools.md#arm64-node-pools), you can create ARM64 Ubuntu agent nodes and even mix Intel and ARM architecture nodes within a cluster. These ARM VMs are engineered to efficiently run dynamic, scalable workloads and can deliver up to 50% better price-performance than comparable x86-based VMs for scale-out workloads. _Best for web or application servers, open-source databases, cloud-native applications, gaming servers, and more._
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- [**Ampere Altra Arm-based processors (ARM64)**](https://azure.microsoft.com/blog/now-in-preview-azure-virtual-machines-with-ampere-altra-armbased-processors/) - ARM64 VMs are power-efficient and cost effective but don't compromise on performance. With [ARM64 node pool support in AKS](./create-node-pools.md#arm64-node-pools), you can create ARM64 Ubuntu agent nodes and even mix Intel and ARM architecture nodes within a cluster. These ARM VMs are engineered to efficiently run dynamic, scalable workloads and can deliver up to 50% better price-performance than comparable x86-based VMs for scale-out workloads. _Best for web or application servers, open-source databases, cloud-native applications, gaming servers, and more._
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- [**GPU optimized SKUs**](/azure/virtual-machines/sizes) - Depending on the nature of your workload, consider using compute optimized, memory optimized, storage optimized, or even graphical processing unit (GPU) optimized VM SKUs. GPU VM sizes are specialized VMs that are available with single, multiple, and fractional GPUs. _[GPU-enabled Linux node pools on AKS](./gpu-cluster.md) are best for compute-intensive workloads like graphics rendering, large model training and inferencing._
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> [!NOTE]

articles/virtual-desktop/app-attach-setup.md

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- Your session hosts need to run a [supported Windows client operating system](prerequisites.md#operating-systems-and-licenses) and at least one of them must be powered on. Windows Server isn't supported.
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::: zone pivot="app-attach"
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- Your host pool needs to be [configured as a validation environment](configure-validation-environment.md).
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::: zone-end
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::: zone pivot="app-attach"
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- Your session hosts need to be joined to Microsoft Entra ID or an Active Directory Domain Services (AD DS) domain.
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::: zone-end

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