Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into as-monitor

Author: v-thepet

.openpublishing.redirection.json

@@ -10645,11 +10645,6 @@
             "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/find-help-open-support-ticket.md

@@ -41,7 +41,7 @@ If you're unable to find answers by using self-help resources, you can open an o
 
 1. Sign in to the [Azure portal](https://portal.azure.com).
 
-1. If you have access to multiple tenants, select the **Settings** icon in the top menu to switch to your Azure AD B2C tenant from the **Directories + subscriptions** menu.
+1. If you have access to multiple tenants, select the **Settings** icon in the top menu to switch to your Microsoft Entra tenant from the **Directories + subscriptions** menu. Currently, you can't submit support cases directly from your Azure AD B2C tenant.
 
 1. In the Azure portal, search for and select **Microsoft Entra ID**.
 

articles/active-directory-b2c/session-behavior.md

@@ -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/ai-services/document-intelligence/concept-read.md

@@ -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/ai-services/document-intelligence/faq.yml

@@ -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?

articles/ai-services/language-service/native-document-support/use-native-documents.md

@@ -28,15 +28,15 @@ ms.author: lajanuar
 
 Azure AI Language is a cloud-based service that applies Natural Language Processing (NLP) features to text-based data. The native document support capability enables you to send API requests asynchronously, using an HTTP POST request body to send your data and HTTP GET request query string to retrieve the processed data.
 
-A native document refers to the file format used to create the original document such as Microsoft Word (docx) or a portable document file (pdf). Native document support eliminates the need for text preprocessing prior to using Azure AI Language resource capabilities.  Currently, native document support is available for the following capabilities:
+A native document refers to the file format used to create the original document such as Microsoft Word (docx) or a portable document file (pdf). Native document support eliminates the need for text preprocessing before using Azure AI Language resource capabilities. Currently, native document support is available for the following capabilities:
 
 * [Personally Identifiable Information (PII)](../personally-identifiable-information/overview.md). The PII detection feature can identify, categorize, and redact sensitive information in unstructured text. The `PiiEntityRecognition` API supports native document processing.
 
 * [Document summarization](../summarization/overview.md). Document summarization uses natural language processing to generate extractive (salient sentence extraction) or abstractive (contextual word extraction) summaries for documents. Both `AbstractiveSummarization` and `ExtractiveSummarization` APIs support native document processing.
 
 ## Supported document formats
 
- Applications use native file formats to create, save, or open native documents.  Currently **PII** and **Document summarization** capabilities supports the following native document formats:
+ Applications use native file formats to create, save, or open native documents. Currently **PII** and **Document summarization** capabilities supports the following native document formats:
 
 |File type|File extension|Description|
 |---------|--------------|-----------|
@@ -69,7 +69,7 @@ A native document refers to the file format used to create the original document
 
     > [!NOTE]
     > The cURL package is pre-installed on most Windows 10 and Windows 11 and most macOS and Linux distributions. You can check the package version with the following commands:
-    > Windows: `curl.exe -V`.
+    > Windows: `curl.exe -V`
     > macOS `curl -V`
     > Linux: `curl --version`
 
@@ -78,7 +78,7 @@ A native document refers to the file format used to create the original document
   * [Windows](https://curl.haxx.se/windows/).
   * [Mac or Linux](https://learn2torials.com/thread/how-to-install-curl-on-mac-or-linux-(ubuntu)-or-windows).
 
-* An active [**Azure account**](https://azure.microsoft.com/free/cognitive-services/).  If you don't have one, you can [**create a free account**](https://azure.microsoft.com/free/).
+* An active [**Azure account**](https://azure.microsoft.com/free/cognitive-services/). If you don't have one, you can [**create a free account**](https://azure.microsoft.com/free/).
 
 * An [**Azure Blob Storage account**](https://portal.azure.com/#create/Microsoft.StorageAccount-ARM). You also need to [create containers](#create-azure-blob-storage-containers) in your Azure Blob Storage account for your source and target files:
 
@@ -128,7 +128,7 @@ Your Language resource needs granted access to your storage account before it ca
 
 * [**Shared access signature (SAS) tokens**](shared-access-signatures.md). User delegation SAS tokens are secured with Microsoft Entra credentials. SAS tokens provide secure, delegated access to resources in your Azure storage account.
 
-* [**Managed identity role-based access control (RBAC)**](managed-identities.md). Managed identities for Azure resources are service principals that create a Microsoft Entra identity and specific permissions for Azure managed resources
+* [**Managed identity role-based access control (RBAC)**](managed-identities.md). Managed identities for Azure resources are service principals that create a Microsoft Entra identity and specific permissions for Azure managed resources.
 
 For this project, we authenticate access to the `source location` and `target location` URLs with Shared Access Signature (SAS) tokens appended as query strings. Each token is assigned to a specific blob (file).
 
@@ -177,7 +177,7 @@ For this quickstart, you need a **source document** uploaded to your **source co
                 "language": "en-US",
                 "id": "Output-excel-file",
                 "source": {
-                    "location": "{your-source-container-with-SAS-URL}"
+                    "location": "{your-source-blob-with-SAS-URL}"
                 },
                 "target": {
                     "location": "{your-target-container-with-SAS-URL}"
@@ -189,8 +189,8 @@ For this quickstart, you need a **source document** uploaded to your **source co
         {
             "kind": "PiiEntityRecognition",
             "parameters":{
-                "excludePiiCategoriesredac" : ["PersonType", "Category2", "Category3"],
-                "redactionPolicy": "UseEntityTypeName" 
+                "excludePiiCategories" : ["PersonType", "Category2", "Category3"],
+                "redactionPolicy": "UseRedactionCharacterWithRefId" 
             }
         }
     ]
@@ -344,7 +344,7 @@ For this project, you need a **source document** uploaded to your **source conta
         "documents":[
             {
           "source":{
-            "location":"{your-source-container-SAS-URL}"
+            "location":"{your-source-blob-SAS-URL}"
           },
           "targets":
             {

articles/ai-services/language-service/question-answering/how-to/azure-openai-integration.md

@@ -6,7 +6,7 @@ ms.service: azure-ai-language
 author: jboback
 ms.author: jboback
 ms.topic: how-to
-ms.date: 12/19/2023
+ms.date: 02/09/2024
 ---
 
 # Connect Custom Question Answering with Azure OpenAI on your data 
@@ -72,7 +72,7 @@ At the same time, customers often require a custom answer authoring experience t
 
     :::image type="content" source="../media/question-answering/chat-playground.png" alt-text="A screenshot of the playground page of the Azure OpenAI Studio with sections highlighted." lightbox="../media/question-answering/chat-playground.png":::
 
-You can now start exploring Azure OpenAI capabilities with a no-code approach through the chat playground. It's simply a text box where you can submit a prompt to generate a completion. From this page, you can quickly iterate and experiment with the capabilities. You can also launch a [web app](../../..//openai/concepts/use-your-data.md#using-the-web-app) to chat with the model over the web.
+You can now start exploring Azure OpenAI capabilities with a no-code approach through the chat playground. It's simply a text box where you can submit a prompt to generate a completion. From this page, you can quickly iterate and experiment with the capabilities. You can also launch a [web app](../../../openai/how-to/use-web-app.md) to chat with the model over the web.
 
 ## Next steps
 * [Using Azure OpenAI on your data](../../../openai/concepts/use-your-data.md)