Merge pull request #280879 from MicrosoftDocs/main

7/15/2024 PM Publish

Author: Taojunshen

.openpublishing.redirection.json

@@ -1,5 +1,19 @@
 {
     "redirections": [
+    {
+      "source_path": "articles/networking/connectivity-interoperability-configuration.md",
+      "redirect_url": "/previous-versions/azure/networking/connectivity-interoperability-configuration",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/expressroute/expressroute-howto-add-gateway-classic.md",
+      "redirect_url": "/previous-versions/azure/expressroute/expressroute-howto-add-gateway-classic",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/expressroute/expressroute-howto-set-global-reach-cli.md",
+      "redirect_url": "/previous-versions/azure/expressroute/expressroute-howto-set-global-reach-cli",
+    },
     {
       "source_path": "articles/digital-twins/how-to-integrate-maps.md",
       "redirect_url": "/previous-versions/azure/digital-twins/how-to-integrate-maps",

articles/ai-services/language-service/question-answering/quickstart/sdk.md

@@ -16,7 +16,7 @@ zone_pivot_groups: custom-qna-quickstart
 # Quickstart: custom question answering
 
 > [!NOTE]
-> [Azure Open AI On Your Data](../../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to Custom Question Answering. If you wish to connect an existing Custom Question Answering project to Azure Open AI On Your Data, please check out our [guide](../how-to/azure-openai-integration.md).
+> [Azure OpenAI On Your Data](../../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to Custom Question Answering. If you wish to connect an existing Custom Question Answering project to Azure OpenAI On Your Data, please check out our [guide](../how-to/azure-openai-integration.md).
 
 > [!NOTE]
 > Are you looking to migrate your workloads from QnA Maker? See our [migration guide](../how-to/migrate-qnamaker-to-question-answering.md) for information on feature comparisons and migration steps.

articles/ai-services/openai/how-to/use-your-data-securely.md

@@ -8,7 +8,7 @@ ms.service: azure-ai-openai
 ms.topic: how-to
 author: aahill
 ms.author: aahi
-ms.date: 06/13/2024
+ms.date: 07/15/2024
 recommendations: false
 ---
 
@@ -17,7 +17,7 @@ recommendations: false
 > [!NOTE]
 > As of June 2024, the application form for the Microsoft managed private endpoint to Azure AI Search is no longer needed.
 >
-> The managed private endpoint will be deleted from the Microsoft managed virtual network at July 2025. If you have already provisioned a managed private endpoint through the application process before June 2024, migrate to the [Azure AI Search trusted service](#enable-trusted-service-1) as early as possible to avoid service disruption. 
+> The managed private endpoint will be deleted from the Microsoft managed virtual network at July 2025. If you have already provisioned a managed private endpoint through the application process before June 2024, enable [Azure AI Search trusted service](#enable-trusted-service-1) as early as possible to avoid service disruption. 
 
 Use this article to learn how to use Azure OpenAI On Your Data securely by protecting data and resources with Microsoft Entra ID role-based access control, virtual networks, and private endpoints.
 

articles/ai-services/qnamaker/Quickstarts/add-question-metadata-portal.md

@@ -14,7 +14,7 @@ ms.custom: mode-ui
 # Add questions and answer with QnA Maker portal
 
 > [!NOTE]
-> [Azure Open AI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to QnA Maker. If you wish to migrate your QnA Maker project to Azure Open AI On Your Data, please check out our [guide](../How-To/migrate-to-openai.md).
+> [Azure OpenAI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to QnA Maker. If you wish to migrate your QnA Maker project to Azure OpenAI On Your Data, please check out our [guide](../How-To/migrate-to-openai.md).
 
 Once a knowledge base is created, add question and answer (QnA) pairs with metadata to filter the answer. The questions in the following table are about Azure service limits, but each has to do with a different Azure search service.
 

articles/ai-services/qnamaker/Quickstarts/create-publish-knowledge-base.md

@@ -14,7 +14,7 @@ ms.custom: mode-other
 # Quickstart: Create, train, and publish your QnA Maker knowledge base
 
 > [!NOTE]
-> [Azure Open AI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to QnA Maker. If you wish to migrate your QnA Maker project to Azure Open AI On Your Data, please check out our [guide](../How-To/migrate-to-openai.md).
+> [Azure OpenAI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to QnA Maker. If you wish to migrate your QnA Maker project to Azure OpenAI On Your Data, please check out our [guide](../How-To/migrate-to-openai.md).
 
 [!INCLUDE [Custom question answering](../includes/new-version.md)]
 

articles/ai-services/qnamaker/Quickstarts/get-answer-from-knowledge-base-using-url-tool.md

@@ -16,7 +16,7 @@ ms.date: 01/19/2024
 # Get an answer from a QNA Maker knowledge base
 
 > [!NOTE]
-> [Azure Open AI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to QnA Maker. If you wish to migrate your QnA Maker project to Azure Open AI On Your Data, please check out our [guide](../How-To/migrate-to-openai.md).
+> [Azure OpenAI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to QnA Maker. If you wish to migrate your QnA Maker project to Azure OpenAI On Your Data, please check out our [guide](../How-To/migrate-to-openai.md).
 
 [!INCLUDE [Custom question answering](../includes/new-version.md)]
 

articles/ai-services/qnamaker/Quickstarts/quickstart-sdk.md

@@ -16,7 +16,7 @@ zone_pivot_groups: qnamaker-quickstart
 # Quickstart: QnA Maker client library
 
 > [!NOTE]
-> [Azure Open AI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to QnA Maker. If you wish to migrate your QnA Maker project to Azure Open AI On Your Data, please check out our [guide](../How-To/migrate-to-openai.md).
+> [Azure OpenAI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to QnA Maker. If you wish to migrate your QnA Maker project to Azure OpenAI On Your Data, please check out our [guide](../How-To/migrate-to-openai.md).
 
 Get started with the QnA Maker client library. Follow these steps to install the package and try out the example code for basic tasks.
 

articles/ai-studio/concepts/ai-resources.md

@@ -16,8 +16,6 @@ author: Blackmist
 
 # Manage, collaborate, and organize with hubs
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
-
 Hubs are the primary top-level Azure resource for AI studio and provide a central way for a team to govern security, connectivity, and computing resources across playgrounds and projects. Once a hub is created, developers can create projects from it and access shared company resources without needing an IT administrator's repeated help.
 
 Project workspaces that are created using a hub inherit the same security settings and shared resource access. Teams can create project workspaces as needed to organize their work, isolate data, and/or restrict access. 

articles/ai-studio/how-to/create-azure-ai-resource.md

@@ -16,12 +16,13 @@ author: Blackmist
 
 # How to create and manage an Azure AI Studio hub
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
-
 In AI Studio, hubs provide the environment for a team to collaborate and organize work, and help you as a team lead or IT admin centrally set up security settings and govern usage and spend. You can create and manage a hub from the Azure portal or from the AI Studio. 
 
 In this article, you learn how to create and manage a hub in AI Studio with the default settings so you can get started quickly. Do you need to customize security or the dependent resources of your hub? Then use [Azure Portal](create-secure-ai-hub.md) or [template options](create-azure-ai-hub-template.md). 
 
+> [!TIP]
+> If you'd like to create your Azure AI Studio hub using a template, see the articles on using [Bicep](create-azure-ai-hub-template.md) or [Terraform](create-hub-terraform.md).
+
 ## Create a hub in AI Studio
 
 To create a new hub, you need either the Owner or Contributor role on the resource group or on an existing hub. If you're unable to create a hub due to permissions, reach out to your administrator. If your organization is using [Azure Policy](../../governance/policy/overview.md), don't create the resource in AI Studio. Create the hub [in the Azure portal](#create-a-secure-hub-in-the-azure-portal) instead.

articles/aks/TOC.yml

@@ -62,6 +62,8 @@
           href: learn/quick-windows-container-deploy-powershell.md
         - name: Use the Azure portal
           href: learn/quick-windows-container-deploy-portal.md
+        - name: Use Terraform
+          href: learn/quick-windows-container-deploy-terraform.md
     - name: Work with package managers
       expanded: true
       items:
@@ -156,6 +158,8 @@
       items:
         - name: Small and large language models
           href: concepts-ai-ml-language-models.md
+        - name: Fine-tuning language models
+          href: concepts-fine-tune-language-models.md
     - name: Advanced Container Networking Services 
       items:
         - name: Advanced Container Networking Services overview
@@ -777,6 +781,8 @@
               href: keda-deploy-add-on-arm.md
             - name: Use Azure CLI
               href: keda-deploy-add-on-cli.md
+            - name: Securely scale your applications using the Kubernetes Event-driven Autoscaling (KEDA) add-on and workload identity
+              href: keda-workload-identity.md
             - name: Kubernetes Event-driven Autoscaler (KEDA) integrations
               href: keda-integrations.md
             - name: Troubleshoot Kubernetes Event-driven Autoscaler (KEDA)