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articles/active-directory/authentication/concept-authentication-passwordless.md

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ms.service: active-directory
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ms.subservice: authentication
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ms.topic: conceptual
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ms.date: 09/13/2022
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ms.date: 09/15/2022
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ms.author: justinha
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||**Windows Hello for Business**|**Passwordless sign-in with the Authenticator app**|**FIDO2 security keys**|
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|:-|:-|:-|:-|
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|**Pre-requisite**| Windows 10, version 1809 or later<br>Azure Active Directory| Authenticator app<br>Phone (iOS and Android devices running Android 8.0 or above.)|Windows 10, version 1903 or later<br>Azure Active Directory|
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|**Pre-requisite**| Windows 10, version 1809 or later<br>Azure Active Directory| Authenticator app<br>Phone (iOS and Android devices)|Windows 10, version 1903 or later<br>Azure Active Directory|
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|**Mode**|Platform|Software|Hardware|
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|**Systems and devices**|PC with a built-in Trusted Platform Module (TPM)<br>PIN and biometrics recognition |PIN and biometrics recognition on phone|FIDO2 security devices that are Microsoft compatible|
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|**User experience**|Sign in using a PIN or biometric recognition (facial, iris, or fingerprint) with Windows devices.<br>Windows Hello authentication is tied to the device; the user needs both the device and a sign-in component such as a PIN or biometric factor to access corporate resources.|Sign in using a mobile phone with fingerprint scan, facial or iris recognition, or PIN.<br>Users sign in to work or personal account from their PC or mobile phone.|Sign in using FIDO2 security device (biometrics, PIN, and NFC)<br>User can access device based on organization controls and authenticate based on PIN, biometrics using devices such as USB security keys and NFC-enabled smartcards, keys, or wearables.|

articles/active-directory/authentication/howto-authentication-passwordless-phone.md

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ms.author: justinha
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To use passwordless phone sign-in with Microsoft Authenticator, the following prerequisites must be met:
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- Recommended: Azure AD Multi-Factor Authentication, with push notifications allowed as a verification method. Push notifications to your smartphone or tablet help the Authenticator app to prevent unauthorized access to accounts and stop fraudulent transactions. The Authenticator app automatically generates codes when set up to do push notifications so a user has a backup sign-in method even if their device doesn't have connectivity.
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- Latest version of Microsoft Authenticator installed on devices running iOS 12.0 or greater, or Android 8.0 or greater.
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- Latest version of Microsoft Authenticator installed on devices running iOS or Android.
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- For Android, the device that runs Microsoft Authenticator must be registered to an individual user. We're actively working to enable multiple accounts on Android.
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- For iOS, the device must be registered with each tenant where it's used to sign in. For example, the following device must be registered with Contoso and Wingtiptoys to allow all accounts to sign in:
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articles/ddos-protection/ddos-disaster-recovery-guidance.md

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![Simple Virtual Network Diagram.](../virtual-network/media/virtual-network-disaster-recovery-guidance/vnet.png)
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**Q: What can I to do re-create the same virtual network in a different region?**
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**Q: What can I do to re-create the same virtual network in a different region?**
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A: Virtual networks are fairly lightweight resources. You can invoke Azure APIs to create a VNet with the same address space in a different region. To recreate the same environment that was present in the affected region, you make API calls to redeploy the resources in the VNets that you had. If you have on-premises connectivity, such as in a hybrid deployment, you have to deploy a new VPN Gateway, and connect to your on-premises network.
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## Next steps
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- Learn how to [create a DDoS protection plan](manage-ddos-protection.md).
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- Learn how to [create a DDoS protection plan](manage-ddos-protection.md).

articles/ddos-protection/ddos-protection-reference-architectures.md

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> [!NOTE]
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> Azure App Service Environment for Power Apps or API management in a virtual network with a public IP are both not natively supported.
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## Hub-and-spoke network topology with Azure Firewall and Azure Bastion
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This reference architecture details a hub-and-spoke topology with Azure Firewall inside the hub as a DMZ for scenarios that require central control over security aspects. Azure Firewall is a managed firewall as a service and is placed in its own subnet. Azure Bastion is deployed and placed in its own subnet.
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DDoS Protection Standard is designed for services that are deployed in a virtual network. For more information, see [Deploy dedicated Azure service into virtual networks](../virtual-network/virtual-network-for-azure-services.md#services-that-can-be-deployed-into-a-virtual-network).
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> [!NOTE]
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> DDoS Protection Standard protects the Public IPs of Azure resource. DDoS Protection Basic, which requires no configuration and is enabled by default, only protects the Azure underlying platform infrastructure (e.g. Azure DNS). For more information, see [Azure DDoS Protection Standard overview](ddos-protection-overview.md).
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> DDoS Protection Standard protects the Public IPs of Azure resource. DDoS infrastructure protection, which requires no configuration and is enabled by default, only protects the Azure underlying platform infrastructure (e.g. Azure DNS). For more information, see [Azure DDoS Protection Standard overview](ddos-protection-overview.md).
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For more information about hub-and-spoke topology, see [Hub-spoke network topology](/azure/architecture/reference-architectures/hybrid-networking/hub-spoke?tabs=cli).
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## Next steps

articles/search/cognitive-search-output-field-mapping.md

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Output field mappings are required if your indexer has an attached [skillset](cognitive-search-working-with-skillsets.md) that creates new information, such as text translation or key phrase extraction. During indexer execution, AI-generated information exists in memory only. To persist this information in a search index, you'll need to tell the indexer where to send the data.
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Output field mappings can also be used to retrieve specific nodes in a source document's complex type. If you don't need the full complex structure, you can [flatten individual nodes in a nested data structures](#flattening-information-from-complex-types), and then use an output field mapping to send the output to a string collection in your search index.
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Output field mappings can also be used to retrieve specific nodes in a source document's complex type. For example, you might want just "FullName/LastName" in a multi-part "FullName" property. When you don't need the full complex structure, you can [flatten individual nodes in a nested data structures](#flattening-information-from-complex-types), and then use an output field mapping to send the output to a string collection in your search index.
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Output field mappings apply to:
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+ Content that's created by skills or extracted by an indexer. The source field is a node in an enriched document residing in memory.
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+ In-memory content that's created by skills or extracted by an indexer. The source field is a node in an enriched document tree.
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+ Search indexes. If you're populating a [knowledge store](knowledge-store-concept-intro.md), use [projections](knowledge-store-projections-examples.md) for data path configuration.
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articles/search/search-how-to-create-search-index.md

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ms.date: 09/15/2022
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# Create an index in Azure Cognitive Search
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### [**REST**](#tab/index-rest)
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[**Create Index (REST)**](/rest/api/searchservice/create-index) is used to create an index. Both Postman and Visual Studio Code (with an extension for Azure Cognitive Search) can function as a search index client. Using either tool, you can connect to your search service and send requests:
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[**Create Index (REST API)**](/rest/api/searchservice/create-index) is used to create an index. Both Postman and Visual Studio Code (with an extension for Azure Cognitive Search) can function as a search index client. Using either tool, you can connect to your search service and send requests.
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The following links show you how to set up the request:
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+ [Create a search index using REST and Postman](search-get-started-rest.md)
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+ [Get started with Visual Studio Code and Azure Cognitive Search](search-get-started-vs-code.md)

articles/search/search-indexer-field-mappings.md

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![Indexer Stages](./media/search-indexer-field-mappings/indexer-stages-field-mappings.png "indexer stages")
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When using an [Azure Cognitive Search indexer](search-indexer-overview.md) to pull content into a search index, the indexer can often implicitly detect and assign source-to-destination field mappings. Implicit field mappings occur when field names and data types are compatible.
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When an [Azure Cognitive Search indexer](search-indexer-overview.md) loads a search index, it determines the data path through source-to-destination field mappings. Implicit field mappings are internal and occur when field names and data types are compatible between the source and destination.
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If inputs and outputs don't match, you can define explicit *field mappings* to set up the data path, as described in this article. Field mappings can also be used to introduce light-weight data conversion, such as encoding or decoding, through [mapping functions](#mappingFunctions). If more processing is required, consider [Azure Data Factory](../data-factory/index.yml) to bridge the gap.
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articles/storage/files/storage-files-identity-auth-azure-active-directory-enable.md

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4. Select the application with the name matching **[Storage Account] $storageAccountName.file.core.windows.net**.
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5. Select **API permissions** in the left pane.
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6. Select **Add permissions** at the bottom of the page.
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7. Select **Grant admin consent for "DirectoryName"**.
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6. Select **Grant admin consent for "DirectoryName"**.
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7. Select **Yes** to confirm.
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## Disable multi-factor authentication on the storage account
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