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.openpublishing.redirection.json

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"source_path_from_root":"/articles/service-connector/quickstart-cli-aks-connection.md",
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"redirect_url":"/azure/service-connector/quickstart-portal-aks-connection",
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"redirect_document_id":false
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}
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},
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{
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"source_path_from_root":"/articles/aks/generation-2-vm-windows.md",
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"redirect_url":"/azure/aks/generation-2-vm",
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"redirect_document_id":false
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}
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.openpublishing.redirection.operator-5g-core.json

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"redirect_document_id": false
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},
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{
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"source_path_from_root": "/articles/operator-5g-core/how-to-complete-prerequisites-deploy-azure-kubernetes-service.md",
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"redirect_url": "/azure/operator-5g-core/quickstart-complete-prerequisites-deploy-azure-kubernetes-service",
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"source_path_from_root": "/articles/operator-5g-core/quickstart-complete-prerequisites-deploy-azure-kubernetes-service.md",
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"redirect_url": "/azure/operator-5g-core/quickstart-complete-prerequisites-deploy-nexus-azure-kubernetes-service",
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{
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"source_path_from_root": "/articles/operator-5g-core/quickstart-perform-checks-post-deployment.md",
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"redirect_url": "/azure/operator-5g-core/quickstart-configure-extension-for-status-monitoring",
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"redirect_document_id": false
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},
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{
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"source_path_from_root": "/articles/operator-5g-core/how-to-complete-prerequisites-deploy-azure-kubernetes-service.md",
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"redirect_url": "/azure/operator-5g-core/quickstart-complete-prerequisites-deploy-azure-kubernetes-service",
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"redirect_document_id": false
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.openpublishing.redirection.sentinel.json

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"redirect_url": "/azure/sentinel/data-connectors-reference",
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{
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"source_path_from_root": "/articles/sentinel/data-connectors/sonicwall-firewall.md",
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"redirect_url": "/azure/sentinel/data-connectors-reference",
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"redirect_document_id": false
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"source_path_from_root": "/articles/sentinel/data-connectors/varmour-application-controller.md",
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"redirect_url": "/azure/sentinel/data-connectors-reference",

articles/active-directory-b2c/add-captcha.md

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manager: mwongerapk
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ms.service: active-directory
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ms.topic: how-to
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ms.date: 03/01/2024
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ms.date: 05/03/2024
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ms.custom: project-no-code
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|Page layout |Page layout version range |
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|---------|---------|
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| Selfasserted | >=2.1.29 |
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| Unifiedssp | >=2.1.17 |
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| Multifactor | >=1.2.15 |
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| Selfasserted | >=2.1.30 |
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| Unifiedssp | >=2.1.18 |
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| Multifactor | >=1.2.16 |
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**Example:**
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## Next steps
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- Learn how to [Define a CAPTCHA technical profile](captcha-technical-profile.md).
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- Learn how to [Configure CAPTCHA display control](display-control-captcha.md).
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- Learn how to [Configure CAPTCHA display control](display-control-captcha.md).

articles/active-directory-b2c/self-asserted-technical-profile.md

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<UseTechnicalProfileForSessionManagement ReferenceId="SM-AAD" />
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</TechnicalProfile>
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```
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> [!NOTE]
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> When you collect the password claim value in the self-asserted technical profile, that value is only available within the same technical profile or within a validation technical profiles that are referenced by that same self-asserted technical profile. When execution of that self-asserted technical profile completes, and moves to another technical profile, the password's value is lost. Consequently, password claim can only be stored in the orchestration step in which it is collected.
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### Output claims sign-up or sign-in page
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In a combined sign-up and sign-in page, note the following when using a content definition [DataUri](contentdefinitions.md#datauri) element that specifies a `unifiedssp` or `unifiedssd` page type:

articles/advisor/advisor-release-notes.md

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title: What's new in Azure Advisor
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description: A description of what's new and changed in Azure Advisor
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ms.topic: reference
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ms.date: 11/02/2023
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ms.date: 05/03/2024
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---
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# What's new in Azure Advisor?
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Learn what's new in the service. These items might be release notes, videos, blog posts, and other types of information. Bookmark this page to stay up to date with the service.
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## April 2024
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### Azure Advisor will no longer display aggregated potential yearly savings beginning 30 September 2024
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In the Azure portal, Azure Advisor currently shows potential aggregated cost savings under the label "Potential yearly savings based on retail pricing" on pages where cost recommendations are displayed (as shown in the image). This aggregated savings estimate will be removed from the Azure portal on 30 September 2024. However, you can still evaluate potential yearly savings tailored to your specific needs by following the steps in [Calculate cost savings](/azure/advisor/advisor-how-to-calculate-total-cost-savings). All individual recommendations and their associated potential savings will remain available.
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#### Recommended action
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If you want to continue calculating aggregated potential yearly savings, follow [these steps](/azure/advisor/advisor-how-to-calculate-total-cost-savings). Note that individual recommendations might show savings that overlap with the savings shown in other recommendations, although you might not be able to benefit from them concurrently. For example, you can benefit from savings plans or from reservations for virtual machines, but not typically from both on the same virtual machines.
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### Public Preview: Resiliency Review on Azure Advisor
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Recommendations from WAF Reliability reviews in Advisor help you focus on the most important recommendations to ensure your workloads remain resilient. As part of the review, personalized and prioritized recommendations from Microsoft Cloud Solution Architects will be presented to you and your team. You can triage recommendations (accept or reject), manage their lifecycle on Advisor, and work with your Microsoft account team to track resolution. You can reach out to your account team to request Well Architected Reliability Assessment to successfully optimize workload resiliency and reliability by implementing curated recommendations and track its lifecycle on Advisor.
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To learn more, visit [Azure Advisor Resiliency Reviews](/azure/advisor/advisor-resiliency-reviews).
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## March 2024
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### Well-Architected Framework (WAF) assessments & recommendations
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### Cost Optimization workbook template
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The Azure Cost Optimization workbook serves as a centralized hub for some of the most used tools that can help you drive utilization and efficiency goals. It offers a range of recommendations, including Azure Advisor cost recommendations, identification of idle resources, and management of improperly deallocated Virtual Machines. Additionally, it provides insights into leveraging Azure Hybrid benefit options for Windows, Linux, and SQL databases
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The Azure Cost Optimization workbook serves as a centralized hub for some of the most used tools that can help you drive utilization and efficiency goals. It offers a range of recommendations, including Azure Advisor cost recommendations, identification of idle resources, and management of improperly deallocated Virtual Machines. Additionally, it provides insights into leveraging Azure Hybrid benefit options for Windows, Linux, and SQL databases.
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Azure Advisor now provides the option to postpone or dismiss a recommendation for multiple resources at once. Once you open a recommendations details page with a list of recommendations and associated resources, select the relevant resources and choose **Postpone** or **Dismiss** in the command bar at the top of the page.
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To learn more, visit [Dismissing and postponing recommendations](/azure/advisor/view-recommendations#dismissing-and-postponing-recommendations)
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To learn more, visit [Dismissing and postponing recommendations](/azure/advisor/view-recommendations#dismissing-and-postponing-recommendations).
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### VM/VMSS right-sizing recommendations with custom lookback period
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### Unlimited number of subscriptions
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It is easier now to get an overview of optimization opportunities available to your organization – no need to spend time and effort to apply filters and process subscription in batches.
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It's easier now to get an overview of optimization opportunities available to your organization – no need to spend time and effort to apply filters and process subscription in batches.
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articles/ai-services/computer-vision/Tutorials/liveness.md

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See the Session REST API reference to learn more about the features available to orchestrate the liveness solution.
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- [Liveness Session APIs](https://westus.dev.cognitive.microsoft.com/docs/services/609a5e53f0971cb3/operations/session-create-detectliveness-singlemodal)
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- [Liveness-With-Verify Session APIs](https://westus.dev.cognitive.microsoft.com/docs/services/609a5e53f0971cb3/operations/session-create-detectlivenesswithverify-singlemodal)
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- [Liveness Session Operations](/rest/api/face/liveness-session-operations)

articles/ai-services/computer-vision/concept-face-detection.md

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This article explains the concepts of face detection and face attribute data. Face detection is the process of locating human faces in an image and optionally returning different kinds of face-related data.
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You use the [Face - Detect](https://westus.dev.cognitive.microsoft.com/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236) API to detect faces in an image. To get started using the REST API or a client SDK, follow a [quickstart](./quickstarts-sdk/identity-client-library.md). Or, for a more in-depth guide, see [Call the detect API](./how-to/identity-detect-faces.md).
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You use the [Detect] API to detect faces in an image. To get started using the REST API or a client SDK, follow a [quickstart](./quickstarts-sdk/identity-client-library.md). Or, for a more in-depth guide, see [Call the detect API](./how-to/identity-detect-faces.md).
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## Face rectangle
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The face ID is a unique identifier string for each detected face in an image. Face ID requires limited access approval, which you can apply for by filling out the [intake form](https://aka.ms/facerecognition). For more information, see the Face [limited access page](/legal/cognitive-services/computer-vision/limited-access-identity?context=%2Fazure%2Fcognitive-services%2Fcomputer-vision%2Fcontext%2Fcontext). You can request a face ID in your [Face - Detect](https://westus.dev.cognitive.microsoft.com/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236) API call.
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The face ID is a unique identifier string for each detected face in an image. Face ID requires limited access approval, which you can apply for by filling out the [intake form](https://aka.ms/facerecognition). For more information, see the Face [limited access page](/legal/cognitive-services/computer-vision/limited-access-identity?context=%2Fazure%2Fcognitive-services%2Fcomputer-vision%2Fcontext%2Fcontext). You can request a face ID in your [Detect] API call.
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[!INCLUDE [Sensitive attributes notice](./includes/identity-sensitive-attributes.md)]
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Attributes are a set of features that can optionally be detected by the [Face - Detect](https://westus.dev.cognitive.microsoft.com/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236) API. The following attributes can be detected:
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[Detect]: /rest/api/face/face-detection-operations/detect

articles/ai-services/computer-vision/concept-face-recognition.md

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### PersonGroup creation and training
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You need to create a [PersonGroup](https://westus.dev.cognitive.microsoft.com/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395244) or [LargePersonGroup](https://westus.dev.cognitive.microsoft.com/docs/services/563879b61984550e40cbbe8d/operations/599acdee6ac60f11b48b5a9d) to store the set of people to match against. PersonGroups hold [Person](https://westus.dev.cognitive.microsoft.com/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039523c) objects, which each represent an individual person and hold a set of face data belonging to that person.
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You need to create a [PersonGroup](/rest/api/face/person-group-operations/create-person-group) or [LargePersonGroup](/rest/api/face/person-group-operations/create-large-person-group) to store the set of people to match against. PersonGroups hold [Person](/rest/api/face/person-group-operations/create-person-group-person) objects, which each represent an individual person and hold a set of face data belonging to that person.
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The [Train](https://westus.dev.cognitive.microsoft.com/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395249) operation prepares the data set to be used in face data comparisons.
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The [Train](/rest/api/face/person-group-operations/train-person-group) operation prepares the data set to be used in face data comparisons.
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The [Identify](https://westus.dev.cognitive.microsoft.com/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395239) operation takes one or several source face IDs (from a DetectedFace or PersistedFace object) and a PersonGroup or LargePersonGroup. It returns a list of the Person objects that each source face might belong to. Returned Person objects are wrapped as Candidate objects, which have a prediction confidence value.
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The [Identify](/rest/api/face/face-recognition-operations/identify-from-large-person-group) operation takes one or several source face IDs (from a DetectedFace or PersistedFace object) and a PersonGroup or LargePersonGroup. It returns a list of the Person objects that each source face might belong to. Returned Person objects are wrapped as Candidate objects, which have a prediction confidence value.
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The [Verify](/rest/api/face/face-recognition-operations/verify-face-to-face) operation takes a single face ID (from a DetectedFace or PersistedFace object) and a Person object. It determines whether the face belongs to that same person. Verification is one-to-one matching and can be used as a final check on the results from the Identify API call. However, you can optionally pass in the PersonGroup to which the candidate Person belongs to improve the API performance.
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articles/ai-services/computer-vision/how-to/find-similar-faces.md

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[!INCLUDE [Gate notice](../includes/identity-gate-notice.md)]
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The Find Similar operation does face matching between a target face and a set of candidate faces, finding a smaller set of faces that look similar to the target face. This is useful for doing a face search by image.
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The [Find Similar](/rest/api/face/face-recognition-operations/find-similar-from-large-face-list) operation does face matching between a target face and a set of candidate faces, finding a smaller set of faces that look similar to the target face. This is useful for doing a face search by image.
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This guide demonstrates how to use the Find Similar feature in the different language SDKs. The following sample code assumes you have already authenticated a Face client object. For details on how to do this, follow a [quickstart](../quickstarts-sdk/identity-client-library.md).
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