Update Azure AI Foundry and Azure AI services references

Author: JKirsch1

articles/azure-app-configuration/enable-dynamic-configuration-java-spring-app.md

@@ -74,7 +74,7 @@ App Configuration exposes `AppConfigurationRefresh`, which checks if the refresh
     spring.cloud.azure.appconfiguration.stores[0].monitoring.triggers[0].key=sentinel
     ```
 
-1. Open the **Azure Portal** and navigate to your App Configuration resource associated with your application. Select **Configuration Explorer** under **Operations** and create a new key-value pair by selecting **+ Create** > **Key-value** to add the following parameters:
+1. Open the **Azure portal** and navigate to your App Configuration resource associated with your application. Select **Configuration Explorer** under **Operations** and create a new key-value pair by selecting **+ Create** > **Key-value** to add the following parameters:
 
     | Key | Value |
     |---|---|
@@ -138,7 +138,7 @@ Then, open the *pom.xml* file in a text editor and add a `<dependency>` for `spr
     spring.cloud.azure.appconfiguration.stores[0].monitoring.triggers[0].key=sentinel
     ```
 
-1. Open the **Azure Portal** and navigate to your App Configuration resource associated with your application. Select **Configuration Explorer** under **Operations** and create a new key-value pair by selecting **+ Create** > **Key-value** to add the following parameters:
+1. Open the **Azure portal** and navigate to your App Configuration resource associated with your application. Select **Configuration Explorer** under **Operations** and create a new key-value pair by selecting **+ Create** > **Key-value** to add the following parameters:
 
     | Key | Value |
     |---|---|

articles/azure-app-configuration/enable-dynamic-configuration-java-spring-push-refresh.md

@@ -248,7 +248,7 @@ Event Grid Web Hooks require validation on creation. You can validate by followi
    curl -X GET https://my-azure-webapp.azurewebsites.net
    ```
 
-1. Open the **Azure Portal** and navigate to your App Configuration resource associated with your application. Select **Configuration Explorer** under **Operations** and update the values of the following keys:
+1. Open the **Azure portal** and navigate to your App Configuration resource associated with your application. Select **Configuration Explorer** under **Operations** and update the values of the following keys:
 
     | Key | Value |
     |---|---|

articles/azure-app-configuration/howto-ai-agent-config-python.md

@@ -19,7 +19,7 @@ The full sample source code is available in the [Azure App Configuration GitHub
 
 ## Prerequisites
 
-- Create an _Azure AI project_ in Microsoft Foundry and configure the _example agent settings_ discussed in the [Get started](./howto-ai-agent-config.md#example-agent-settings) section.
+- Create a _Foundry project_ in Microsoft Foundry and configure the _example agent settings_ discussed in the [Get started](./howto-ai-agent-config.md#example-agent-settings) section.
 - Python 3.10 or later - for information on setting up Python on Windows, see the [Python on Windows documentation](/windows/python/).
 
 ## Console application

articles/azure-app-configuration/howto-ai-agent-config.md

@@ -29,13 +29,13 @@ Here are some agent settings that can be stored on Azure App Configuration:
 
 
 ## Example agent settings
-1. Follow the [Microsoft Foundry Quickstart](/azure/ai-foundry/quickstarts/get-started-code) to create a project in Foundry with a deployed gpt-4.1 model. Note down the Azure AI project endpoint for later use.
+1. Follow the [Microsoft Foundry Quickstart](/azure/ai-foundry/quickstarts/get-started-code) to create a project in Foundry with a deployed gpt-4.1 model. Note down the Foundry project endpoint for later use.
 
 1. Navigate to your App Configuration store and add the following key-values. Leave **Label** with its default value. For more information about how to add key-values to a store using the Azure portal or the CLI, go to [Create a key-value](./quickstart-azure-app-configuration-create.md#create-a-key-value).
 
     | Key                            | Value                                                               | Content type                                 |
     |--------------------------------|---------------------------------------------------------------------|----------------------------------------------|
-    | *ChatAgent:ProjectEndpoint*    | *Paste the Azure AI project endpoint*                               |                                              |
+    | *ChatAgent:ProjectEndpoint*    | *Paste the Foundry project endpoint*                               |                                              |
     | *ChatAgent:Spec*               | *See YAML*                                                    |                                              |
 
 

articles/azure-netapp-files/azacsnap-cmd-ref-restore.md

@@ -15,7 +15,7 @@ ms.author: phjensen
 This article provides a guide for running the restore command of the Azure Application Consistent Snapshot tool that you can use with Azure NetApp Files.
 
 > [!NOTE]
-> The restore command is only available for Azure Large Instance and Azure NetApp Files.  Any restores of Azure Managed Disk must be done using the Azure Portal or Azure CLI.
+> The restore command is only available for Azure Large Instance and Azure NetApp Files.  Any restores of Azure Managed Disk must be done using the Azure portal or Azure CLI.
     
 ## Introduction
 

articles/azure-netapp-files/azure-netapp-files-solution-architectures.md

@@ -235,7 +235,7 @@ This section provides references for High Performance Computing (HPC) solutions.
 
 This section provides solutions for Azure platform services. 
 
-### Azure data and AI services
+### Azure data and Foundry Tools
 
 * [How Azure NetApp Files Object REST API powers Azure and ISV Data and AI services](https://techcommunity.microsoft.com/blog/azurearchitectureblog/how-azure-netapp-files-object-rest-api-powers-azure-and-isv-data-and-ai-services/4459545)
 * [Unlocking Advanced Data Analytics and AI with Azure NetApp Files object REST API](https://techcommunity.microsoft.com/blog/azurearchitectureblog/unlocking-advanced-data-analytics--ai-with-azure-netapp-files-object-rest-api/4486098)

articles/azure-netapp-files/join-active-directory-domain.md

@@ -15,7 +15,7 @@ ms.author: anfdocs
 
 # Join a Linux VM to a Microsoft Entra Domain
 
-Joining a Linux virtual machine (VM) to an [Microsoft Entra Domain Services](../active-directory-domain-services/overview.md) managed domain enables users to sign into to VMs with one set of credentials. Once joined, the user accounts and credentials can be used to sign in, access, and manage servers. 
+Joining a Linux virtual machine (VM) to a [Microsoft Entra Domain Services](../active-directory-domain-services/overview.md) managed domain enables users to sign into to VMs with one set of credentials. Once joined, the user accounts and credentials can be used to sign in, access, and manage servers. 
 
 Refer to [Understand guidelines for Active Directory Domain Services site design and planning](understand-guidelines-active-directory-domain-service-site.md) to learn more about using Active Directory in Azure NetApp Files. 
 

articles/azure-netapp-files/object-rest-api-access-configure.md

@@ -11,7 +11,7 @@ ms.author: anfdocs
 
 # Configure object REST API in Azure NetApp Files (preview)
 
-Azure NetApp Files supports access to S3 objects with the [object REST API](object-rest-api-introduction.md) feature. With the object REST API feature, you can connect to services including Azure AI Search, Azure AI Foundry, Azure Databricks, OneLake, and others.
+Azure NetApp Files supports access to S3 objects with the [object REST API](object-rest-api-introduction.md) feature. With the object REST API feature, you can connect to services including Azure AI Search, Microsoft Foundry, Azure Databricks, OneLake, and others.
 
 ## Register the feature 
 

articles/azure-netapp-files/object-rest-api-introduction.md

@@ -10,7 +10,7 @@ ms.author: anfdocs
 ---
 # Understand Azure NetApp Files object REST API (preview)
 
-Azure NetApp Files supports the Object REST API, an S3-compatible REST API. The object REST API extends your file-based storage, enabling native S3 read and write access. You can integrate Azure NetApp Files with services including Azure AI Search, Azure AI Foundry, Azure Databricks, OneLake and more.
+Azure NetApp Files supports the Object REST API, an S3-compatible REST API. The object REST API extends your file-based storage, enabling native S3 read and write access. You can integrate Azure NetApp Files with services including Azure AI Search, Microsoft Foundry, Azure Databricks, OneLake and more.
 
 Object REST API allows you to present the same data set as a file hierarchy or as objects in a bucket. To do so, object REST API creates buckets that allow S3 clients to read, write, and enumerate files in network attached storage (NAS) storage using S3 object requests. This mapping conforms to the NAS security configuration, observing file and directory access permissions.
 

articles/azure-netapp-files/object-rest-api-onelake.md

@@ -12,7 +12,7 @@ ms.author: anfdocs
 
 With Azure NetApp Files object REST API, you can use [OneLake shortcuts](/fabric/onelake/onelake-shortcuts) to virtualize Azure NetApp Files into Microsoft Fabric's unified data lake. With this shortcut, Azure AI search can index and retrieve data directly from Azure NetApp Files for semantic search and vector-based retrieval with intelligent applications. 
 
-Sensitive information is protected through Microsoft Virtual Networks and Azure NetApp Files robust security protocols when you create the OneLake shortcut. A virtual data lake design approach simplifies data sharing across Azure's Data and AI services, improving collaboration. 
+Sensitive information is protected through Microsoft Virtual Networks and Azure NetApp Files robust security protocols when you create the OneLake shortcut. A virtual data lake design approach simplifies data sharing across Azure's Data and Foundry Tools, improving collaboration. 
 
 ## Before you begin