Merge branch 'MicrosoftDocs:main' into patch-14

Author: amagginetti

.openpublishing.redirection.json

@@ -1,5 +1,25 @@
 {
     "redirections": [
+    {
+      "source_path": "articles/storage/blobs/blob-v11-samples-dotnet.md",
+      "redirect_url": "/previous-versions/azure/storage/blobs/blob-v11-samples-dotnet",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/storage/blobs/blob-v11-samples-javascript.md",
+      "redirect_url": "/previous-versions/azure/storage/blobs/blob-v11-samples-javascript",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/storage/blobs/blob-v2-samples-python.md",
+      "redirect_url": "/previous-versions/azure/storage/blobs/blob-v2-samples-python",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/storage/common/geo-redundant-design-legacy.md",
+      "redirect_url": "/previous-versions/azure/storage/common/geo-redundant-design-legacy",
+      "redirect_document_id": false
+    },
     {
       "source_path": "articles/germany/index.yml",
       "redirect_url": "/previous-versions/azure/germany/index",

articles/active-directory-b2c/partner-saviynt.md

@@ -18,7 +18,7 @@ ms.subservice: B2C
 
 Learn to integrate Azure Active Directory B2C (Azure AD B2C) with the Saviynt Security Manager platform, which has visibility, security, and governance. Saviynt incorporates application risk and governance, infrastructure management, privileged account management, and customer risk analysis.
 
-Learn more: [Saviynt for Azure AD B2C](https://saviynt.com/integrations/old-version-azure-ad/for-b2c/)
+Learn more: [Saviynt for Azure AD B2C](https://saviynt.com/fr/integrations/entra-id/for-b2c)
 
 Use the following instructions to set up access control delegated administration for Azure AD B2C users. Saviynt determines if a user is authorized to manage Azure AD B2C users with:
 
@@ -46,7 +46,7 @@ The Saviynt integration includes the following components:
 * **Azure AD B2C** – identity as a service for custom control of customer sign-up, sign-in, and profile management
   * See, [Azure AD B2C, Get started](https://azure.microsoft.com/services/active-directory/external-identities/b2c/) 
 * **Saviynt for Azure AD B2C** – identity governance for delegated administration of user life-cycle management and access governance
-  * See, [Saviynt for Azure AD B2C](https://saviynt.com/integrations/old-version-azure-ad/for-b2c/)
+  * See, [Saviynt for Azure AD B2C](https://saviynt.com/fr/integrations/entra-id/for-b2c)
 * **Microsoft Graph API** – interface for Saviynt to manage Azure AD B2C users and their access
   * See, [Use the Microsoft Graph API](/graph/use-the-api)
 

articles/active-directory-b2c/service-limits.md

@@ -8,7 +8,7 @@ manager: CelesteDG
 ms.service: active-directory
 
 ms.topic: reference
-ms.date: 01/11/2024
+ms.date: 05/11/2024
 ms.subservice: B2C
 zone_pivot_groups: b2c-policy-type
 
@@ -169,7 +169,7 @@ The following table lists the administrative configuration limits in the Azure A
 |String Limit per Attribute      |250 Chars          |
 |Number of B2C tenants per subscription      |20         |
 |Total number of objects (user accounts and applications) per tenant (default limit)|1.25 million |
-|Total number of objects (user accounts and applications) per tenant (using a verified custom domain)|5.25 million |
+|Total number of objects (user accounts and applications) per tenant (using a verified custom domain). If you want to increase this limit, please contact [Microsoft Support](find-help-open-support-ticket.md).|5.25 million |
 |Levels of [inheritance](custom-policy-overview.md#inheritance-model) in custom policies     |10         |
 |Number of policies per Azure AD B2C tenant (user flows + custom policies)     |200          |
 |Maximum policy file size      |1024 KB          |

articles/ai-services/content-moderator/includes/tool-deprecation.md

@@ -13,7 +13,7 @@ ms.author: pafarley
 
 
 > [!IMPORTANT]
-> Azure Content Moderator is being deprecated in February 2024, and will be retired by February 2027. It is being replaced by [Azure AI Content Safety](/azure/ai-services/content-safety/overview), which offers advanced AI features and enhanced performance.
+> Azure Content Moderator is deprecated as of February 2024 and will be retired by February 2027. It is replaced by [Azure AI Content Safety](/azure/ai-services/content-safety/overview), which offers advanced AI features and enhanced performance.
 >
 > Azure AI Content Safety is a comprehensive solution designed to detect harmful user-generated and AI-generated content in applications and services. Azure AI Content Safety is suitable for many scenarios such as online marketplaces, gaming companies, social messaging platforms, enterprise media companies, and K-12 education solution providers. Here's an overview of its features and capabilities:
 > 

articles/ai-services/content-moderator/index.yml

@@ -1,7 +1,7 @@
 ### YamlMime:Landing
 
 title: Content Moderator documentation # < 60 chars
-summary: "The Azure Content Moderator API checks text, image, and video content for material that is potentially offensive, risky, or otherwise undesirable. Content Moderator is being deprecated in February 2024, and will be retired by February 2027. It is being replaced by Azure AI Content Safety, which offers advanced AI features and enhanced performance. Azure AI Content Safety is a comprehensive solution designed to detect harmful user-generated and AI-generated content in applications and services. Azure AI Content Safety is suitable for many scenarios such as online marketplaces, gaming companies, social messaging platforms, enterprise media companies, and K-12 education solution providers." # < 160 chars
+summary: "Azure Content Moderator is deprecated as of February 2024 and will be retired by February 2027. It is replaced by Azure AI Content Safety, which offers advanced AI features and enhanced performance. Azure AI Content Safety is a comprehensive solution designed to detect harmful user-generated and AI-generated content in applications and services. Azure AI Content Safety is suitable for many scenarios such as online marketplaces, gaming companies, social messaging platforms, enterprise media companies, and K-12 education solution providers." # < 160 chars
 
 metadata:
   title: Content Moderator Documentation - Quickstarts, Tutorials, API Reference - Azure AI services  | Microsoft Docs

articles/ai-services/content-safety/concepts/jailbreak-detection.md

@@ -6,7 +6,7 @@ description: Learn about User Prompt injection attacks and the Prompt Shields fe
 author: PatrickFarley
 manager: nitinme
 ms.service: azure-ai-content-safety
-ms.custom: build-2023
+ms.custom: build-2023, references_regions
 ms.topic: conceptual
 ms.date: 03/15/2024
 ms.author: pafarley
@@ -73,6 +73,12 @@ Currently, the Prompt Shields API supports the English language. While our API d
 
 The maximum character limit for Prompt Shields allows for a user prompt of up to 10,000 characters, while the document array is restricted to a maximum of 5 documents with a combined total not exceeding 10,000 characters.
 
+### Regions
+To use this API, you must create your Azure AI Content Safety resource in the supported regions. Currently, it's available in the following Azure regions:
+
+- East US
+- West Europe
+
 ### TPS limitations
 
 | Pricing Tier | Requests per 10 seconds |

articles/ai-services/language-service/concepts/developer-guide.md

@@ -121,7 +121,7 @@ It additionally enables you to use the following features, without creating any
 * [Conversation summarization](../summarization/quickstart.md?pivots=rest-api&tabs=conversation-summarization)
 * [Personally Identifiable Information (PII) detection for conversations](../personally-identifiable-information/how-to-call-for-conversations.md?tabs=rest-api#examples)
 
-As you use this API in your application, see the [reference documentation](/rest/api/language/2023-04-01/conversation-analysis-runtime) for additional information.
+As you use this API in your application, see the [reference documentation](/rest/api/language) for additional information.
 
 
 ### Text analysis authoring API

articles/ai-services/language-service/concepts/role-based-access-control.md

@@ -79,7 +79,7 @@ A user that should only be validating and reviewing the Language apps, typically
       Only Export POST operation under: 
          * [Question Answering Projects](/rest/api/cognitiveservices/questionanswering/question-answering-projects/export)
       All the Batch Testing Web APIs
-         *[Language Runtime CLU APIs](/rest/api/language/2023-04-01/conversation-analysis-runtime)
+         *[Language Runtime CLU APIs](/rest/api/language)
          *[Language Runtime Text Analysis APIs](https://go.microsoft.com/fwlink/?linkid=2239169)
     :::column-end:::
 :::row-end:::

articles/ai-services/language-service/conversational-language-understanding/concepts/best-practices.md

@@ -251,3 +251,4 @@ Once the request is sent, you can track the progress of the training job in Lang
 Caveats:
 - The None Score threshold for the app (confidence threshold below which the topIntent is marked as None) when using this recipe should be set to 0. This is because this new recipe attributes a certain portion of the in domain probabiliities to out of domain so that the model is not incorrectly overconfident about in domain utterances. As a result, users may see slightly reduced confidence scores for in domain utterances as compared to the prod recipe.
 - This recipe is not recommended for apps with just two (2) intents, such as IntentA and None, for example.
+- This recipe is not recommended for apps with low number of utterances per intent. A minimum of 25 utterances per intent is highly recommended.

articles/ai-services/language-service/custom-named-entity-recognition/how-to/call-api.md

@@ -17,7 +17,7 @@ ms.custom: language-service-custom-ner
 # Query your custom model
 
 After the deployment is added successfully, you can query the deployment to extract entities from your text based on the model you assigned to the deployment.
-You can query the deployment programmatically using the [Prediction API](https://aka.ms/ct-runtime-api) or through the client libraries (Azure SDK). 
+You can query the deployment programmatically using the [Prediction API](/rest/api/language/text-analysis-runtime/analyze-text) or through the client libraries (Azure SDK). 
 
 ## Test deployed model