Merge pull request #274705 from mohitp930/mp582024-validation

Bulk update: Global effort to fix validation errors

Author: v-dirichards

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/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/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
 

articles/ai-services/language-service/custom-text-analytics-for-health/how-to/call-api.md

@@ -16,7 +16,7 @@ ms.custom: language-service-custom-ta4h
 # Send queries to your custom Text Analytics for health 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). 
+You can query the deployment programmatically using the [Prediction API](/rest/api/language/text-analysis-runtime/analyze-text). 
 
 ## Test deployed model
 

articles/ai-services/language-service/custom-text-classification/how-to/call-api.md

@@ -17,7 +17,7 @@ ms.custom: language-service-clu
 # Send text classification requests to your model
 
 After you've successfully deployed a model, you can query the deployment to classify text based on the model you assigned to the deployment.
-You can query the deployment programmatically [Prediction API](https://aka.ms/ct-runtime-api) or through the client libraries (Azure SDK). 
+You can query the deployment programmatically [Prediction API](/rest/api/language/text-analysis-runtime/analyze-text) or through the client libraries (Azure SDK). 
 
 ## Test deployed model
 

articles/ai-services/language-service/sentiment-opinion-mining/custom/how-to/call-api.md

@@ -17,7 +17,7 @@ ms.custom: language-service-custom-ner
 # Send a Custom sentiment analysis request to 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 a deployed Custom sentiment analysis model
 

articles/ai-studio/how-to/simulator-interaction-data.md

@@ -64,7 +64,7 @@ aoai_config = AzureOpenAIModelConfiguration.from_connection(
 `Simulator` class supports interacting between the system large language model and the following:
 
 - A local function that follows a protocol.
-- A local standard chat PromptFlow as defined with the interface in the [develop a chat flow example](https://microsoft.github.io/promptflow/how-to-guides/develop-a-flow/develop-chat-flow.html).
+- A local standard chat PromptFlow as defined with the interface in the [develop a chat flow example](https://microsoft.github.io/promptflow/how-to-guides/chat-with-a-flow/index.html).
 
 ```python
 function_simulator = Simulator.from_fn(

articles/application-gateway/for-containers/how-to-multiple-site-hosting-gateway-api.md

@@ -15,7 +15,7 @@ ms.author: greglin
 This document helps you set up an example application that uses the resources from Gateway API to demonstrate hosting multiple sites on the same Kubernetes Gateway resource / Application Gateway for Containers frontend. Steps are provided to:
 
 - Create a [Gateway](https://gateway-api.sigs.k8s.io/concepts/api-overview/#gateway) resource with one HTTP listener.
-- Create two [HTTPRoute](https://gateway-api.sigs.k8s.io/v1alpha2/api-types/httproute/) resources that each reference a unique backend service.
+- Create two [HTTPRoute](https://gateway-api.sigs.k8s.io/api-types/httproute) resources that each reference a unique backend service.
 
 ## Background
 

articles/application-gateway/for-containers/how-to-path-header-query-string-routing-gateway-api.md

@@ -14,7 +14,7 @@ ms.author: greglin
 
 This document helps you set up an example application that uses the resources from Gateway API to demonstrate traffic routing based on URL path, query string, and header. Steps are provided to:
 - Create a [Gateway](https://gateway-api.sigs.k8s.io/concepts/api-overview/#gateway) resource with one HTTPS listener.
-- Create an [HTTPRoute](https://gateway-api.sigs.k8s.io/v1alpha2/api-types/httproute/) resource that references a backend service.
+- Create an [HTTPRoute](https://gateway-api.sigs.k8s.io/api-types/httproute) resource that references a backend service.
 - Use [HTTPRouteMatch](https://gateway-api.sigs.k8s.io/references/spec/#gateway.networking.k8s.io/v1beta1.HTTPRouteMatch) to perform `matches` that route based on path, header, and query string.
 
 ## Background