Merge branch 'main' into joe/nexus-npb

Author: joemarshallmsft

.openpublishing.redirection.json

@@ -10640,11 +10640,6 @@
             "redirect_url": "/azure/orbital/overview",
             "redirect_document_id": false
         },
-        {
-            "source_path_from_root": "/articles/load-balancer/cross-region-overview.md",
-            "redirect_url": "/azure/reliability/reliability-load-balancer",
-            "redirect_document_id": false
-        },
         {
             "source_path_from_root": "/articles/load-balancer/load-balancer-standard-availability-zones.md",
             "redirect_url": "/azure/reliability/reliability-load-balancer",

articles/active-directory-b2c/custom-policies-series-validate-user-input.md

@@ -49,7 +49,7 @@ Azure Active Directory B2C (Azure AD B2C) custom policy not only allows you to m
 
 ## Step 1 - Validate user input by limiting user input options 
 
-If you know all the possible values that a user can enter for a given input, you can provide a finite set of values that a user must select from. You can use *DropdownSinglSelect*, *CheckboxMultiSelect*, and *RadioSingleSelect* [UserInputType](claimsschema.md#userinputtype) for this purpose. In this article, you'll use a *RadioSingleSelect* input type:
+If you know all the possible values that a user can enter for a given input, you can provide a finite set of values that a user must select from. You can use *DropdownSingleSelect*, *CheckboxMultiSelect*, and *RadioSingleSelect* [UserInputType](claimsschema.md#userinputtype) for this purpose. In this article, you'll use a *RadioSingleSelect* input type:
 
 1. In VS Code, open the file `ContosoCustomPolicy.XML`. 
 

articles/active-directory-b2c/media/b2c-global-identity-region-based-design/merge-link-account.png

@@ -25,6 +25,9 @@ With single sign-on, users sign in once with a single account and get access to
 
 When the user initially signs in to an application, Azure AD B2C persists a cookie-based session. Upon subsequent authentication requests, Azure AD B2C reads and validates the cookie-based session, and issues an access token without prompting the user to sign in again. If the cookie-based session expires or becomes invalid, the user is prompted to sign-in again.  
 
+>[!NOTE]
+>If the user uses a browser that blocks third-party cookies, there are limitations with SSO due to limited access to the cookie-based session.  The most user-visible impact is that there are more interactions required for sign-in. Additionally, the front channel sign-out doesn't immediately clear authentication state from federated applications. Check our recommended ways about [how to handle third-party cookie blocking in browsers](/entra/identity-platform/reference-third-party-cookies-spas). 
+
 ## Prerequisites
 
 [!INCLUDE [active-directory-b2c-customization-prerequisites](../../includes/active-directory-b2c-customization-prerequisites.md)]

articles/active-directory-b2c/media/b2c-global-identity-region-based-design/traveling-user-merge-link-account.png

@@ -2,7 +2,6 @@
 title: 'Quickstart: Create an Azure AI services resource using Terraform'
 description: 'In this article, you create an Azure AI services resource using Terraform'
 keywords: Azure AI services, cognitive solutions, cognitive intelligence, cognitive artificial intelligence
-#services: cognitive-services
 ms.service: azure-ai-services
 ms.topic: quickstart
 ms.date: 4/14/2023

articles/active-directory-b2c/media/b2c-global-identity-region-based-design/traveling-user-sign-in.png

@@ -31,7 +31,7 @@ ms.author: lajanuar
 
 > [!NOTE]
 >
-> For extracting text from external images like labels, street signs, and posters, use the [Azure AI Vision v4.0 preview Read](../../ai-services/Computer-vision/concept-ocr.md) feature optimized for general, non-document images with a performance-enhanced synchronous API that makes it easier to embed OCR in your user experience scenarios.
+> For extracting text from external images like labels, street signs, and posters, use the [Azure AI Image Analysis v4.0 Read](../../ai-services/Computer-vision/concept-ocr.md) feature optimized for general, non-document images with a performance-enhanced synchronous API that makes it easier to embed OCR in your user experience scenarios.
 >
 
 Document Intelligence Read Optical Character Recognition (OCR) model runs at a higher resolution than Azure AI Vision Read and extracts print and handwritten text from PDF documents and scanned images. It also includes support for extracting text from Microsoft Word, Excel, PowerPoint, and HTML documents. It detects paragraphs, text lines, words, locations, and languages. The Read model is the underlying OCR engine for other Document Intelligence prebuilt models like Layout, General Document, Invoice, Receipt, Identity (ID) document, Health insurance card, W2 in addition to custom models.

articles/active-directory-b2c/media/partner-grit-iam/grit-b2b2c-architecture.png

@@ -426,7 +426,7 @@ sections:
       - question: |
             How can I move my trained models from one environment (like beta) to another (like production)?
         answer: |
-            The Copy API enables this scenario by allowing you to copy custom models from one Document Intelligence account or into others, which can exist in any supported geographical region. Follow [this document](disaster-recovery.md) for detailed instructions. The copy operation is limited to copying models within the specific cloud environment the model was trained in. For instance, copying models from the public cloud to the Azure Government clod isn't supported.
+            The Copy API enables this scenario by allowing you to copy custom models from one Document Intelligence account or into others, which can exist in any supported geographical region. Follow [this document](disaster-recovery.md) for detailed instructions. The copy operation is limited to copying models within the specific cloud environment the model was trained in. For instance, copying models from the public cloud to the Azure Government cloud isn't supported.
 
       - question: |
           Why was I charged for Layout when running custom training?