Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into assistants-v2

Author: aahill

.openpublishing.redirection.json

@@ -690,6 +690,16 @@
             "redirect_url": "/azure/azure-maps/power-bi-visual-conversion",
             "redirect_document_id": false
         },
+        {
+            "source_path_from_root": "/articles/azure-maps/migrate-from-bing-maps-web-services.md",
+            "redirect_url": "/azure/azure-maps/migrate-bing-maps-overview",
+            "redirect_document_id": false
+        },
+        {
+            "source_path_from_root": "/articles/azure-maps/migrate-from-bing-maps.md",
+            "redirect_url": "/azure/azure-maps/migrate-bing-maps-overview",
+            "redirect_document_id": false
+        },
         {
             "source_path_from_root": "/articles/azure-portal/resource-group-portal-linked-resources.md",
             "redirect_url": "/azure/azure-portal/azure-portal-dashboards",

articles/active-directory-b2c/microsoft-graph-operations.md

@@ -262,11 +262,13 @@ The `RunAsync` method in the _Program.cs_ file:
 1. Initializes the auth provider using [OAuth 2.0 client credentials grant](../active-directory/develop/v2-oauth2-client-creds-grant-flow.md) flow. With the client credentials grant flow, the app is able to get an access token to call the Microsoft Graph API.
 1. Sets up the Microsoft Graph service client with the auth provider:
 
-:::code language="csharp" source="~/ms-identity-dotnetcore-b2c-account-management/src/Program.cs" id="ms_docref_set_auth_provider":::
+The previously published sample code is not available at this time.
+<!--:::code language="csharp" source="~/ms-identity-dotnetcore-b2c-account-management/src/Program.cs" id="ms_docref_set_auth_provider":::-->
 
 The initialized _GraphServiceClient_ is then used in _UserService.cs_ to perform the user management operations. For example, getting a list of the user accounts in the tenant:
 
-:::code language="csharp" source="~/ms-identity-dotnetcore-b2c-account-management/src/Services/UserService.cs" id="ms_docref_get_list_of_user_accounts":::
+The previously published sample code is not available at this time.
+<!--:::code language="csharp" source="~/ms-identity-dotnetcore-b2c-account-management/src/Services/UserService.cs" id="ms_docref_get_list_of_user_accounts":::-->
 
 [Make API calls using the Microsoft Graph SDKs](/graph/sdks/create-requests) includes information on how to read and write information from Microsoft Graph, use `$select` to control the properties returned, provide custom query parameters, and use the `$filter` and `$orderBy` query parameters.
 

articles/ai-services/document-intelligence/concept-document-intelligence-studio.md

@@ -8,7 +8,7 @@ ms.service: azure-ai-document-intelligence
 ms.custom:
   - ignite-2023
 ms.topic: conceptual
-ms.date: 01/19/2024
+ms.date: 05/10/2024
 ms.author: lajanuar
 monikerRange: '>=doc-intel-3.0.0'
 ---
@@ -37,17 +37,13 @@ monikerRange: '>=doc-intel-3.0.0'
 * Experiment with different add-on and preview features to adapt the output to your needs.
 * Train custom classification models to classify documents.
 * Train custom extraction models to extract fields from documents.
-* Get sample code for the language-specific SDKs to integrate into your applications.
+* Get sample code for the language-specific `SDKs` to integrate into your applications.
 
-Use the [Document Intelligence Studio quickstart](quickstarts/try-document-intelligence-studio.md) to get started analyzing documents with document analysis or prebuilt models. Build custom models and reference the models in your applications using one of the [language specific SDKs](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-3.0.0&preserve-view=true) and other quickstarts.
-
-The following image shows the landing page for Document Intelligence Studio.
-
-:::image border="true" type="content" source="media/studio/welcome-to-studio.png" alt-text="Document Intelligence Studio Homepage":::
+Use the [Document Intelligence Studio quickstart](quickstarts/try-document-intelligence-studio.md) to get started analyzing documents with document analysis or prebuilt models. Build custom models and reference the models in your applications using one of the [language specific `SDKs`](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-3.0.0&preserve-view=true) and other quickstarts.
 
 ## Getting started
 
-If you're visiting the Studio for the first time, follow the [getting started guide](studio-overview.md#get-started-using-document-intelligence-studio) to set up the Studio for use.
+If you're visiting the Studio for the first time, follow the [getting started guide](studio-overview.md#get-started) to set up the Studio for use.
 
 ## Analyze options
 
@@ -85,7 +81,7 @@ If you're visiting the Studio for the first time, follow the [getting started gu
 
 ✔️ **Make use of the document list options and filters in custom projects**
 
-* In custom extraction model labeling page, you can now navigate through your training documents with ease by making use of the search, filter and sort by feature.
+* Use the custom extraction model labeling page to navigate through your training documents with ease by making use of the search, filter, and sort by feature.
 
 * Utilize the grid view to preview documents or use the list view to scroll through the documents more easily.
 
@@ -103,11 +99,11 @@ If you're visiting the Studio for the first time, follow the [getting started gu
 
 * **Prebuilt models**: Document Intelligence's prebuilt models enable you to add intelligent document processing to your apps and flows without having to train and build your own models. As an example, start with the [Studio Invoice feature](https://documentintelligence.ai.azure.com/studio/prebuilt?formType=invoice). Explore with sample documents and your documents. Use the interactive visualization, extracted fields list, and JSON output to understand how the feature works. See the [Models overview](concept-model-overview.md) to learn more and get started with the [Python SDK quickstart for Prebuilt Invoice](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-3.0.0&preserve-view=true#prebuilt-model).
 
-* **Custom extraction models**: Document Intelligence's custom models enable you to extract fields and values from models trained with your data, tailored to your forms and documents. Create standalone custom models or combine two or more custom models to create a composed model to extract data from multiple form types. Start with the [Studio Custom models feature](https://documentintelligence.ai.azure.com/studio/custommodel/projects).  Use the help wizard, labeling interface, training step, and visualizations to understand how the feature works. Test the custom model with your sample documents and iterate to improve the model. See the [Custom models overview](concept-custom.md) to learn more.
+* **Custom extraction models**: Document Intelligence's custom models enable you to extract fields and values from models trained with your data, tailored to your forms and documents. To extract data from multiple form types, create standalone custom models or combine two, or more, custom models and create a composed model. Start with the [Studio Custom models feature](https://documentintelligence.ai.azure.com/studio/custommodel/projects). Use the help wizard, labeling interface, training step, and visualizations to understand how the feature works. Test the custom model with your sample documents and iterate to improve the model. To learn more, *see* the [Custom models overview](concept-custom.md) to learn more.
 
-* **Custom classification models**: Document classification is a new scenario supported by Document Intelligence. the document classifier API supports classification and splitting scenarios. Train a classification model to identify the different types of documents your application supports. The input file for the classification model can contain multiple documents and classifies each document within an associated page range. See [custom classification models](concept-custom-classifier.md) to learn more.
+* **Custom classification models**: Document classification is a new scenario supported by Document Intelligence. the document classifier API supports classification and splitting scenarios. Train a classification model to identify the different types of documents your application supports. The input file for the classification model can contain multiple documents and classifies each document within an associated page range. To learn more, *see* [custom classification models](concept-custom-classifier.md).
 
-* **Add-on Capabilities**: Document Intelligence now supports more sophisticated analysis capabilities. These optional capabilities can be enabled and disabled in the studio using the `Analze Options` button in each model page. There are four add-on capabilities available: highResolution, formula, font, and barcode extraction capabilities. See [Add-on capabilities](concept-add-on-capabilities.md) to learn more.
+* **Add-on Capabilities**: Document Intelligence now supports more sophisticated analysis capabilities. These optional capabilities can be enabled and disabled in the studio using the `Analze Options` button in each model page. There are four add-on capabilities available: highResolution, formula, font, and barcode extraction capabilities. To learn more, *see* [Add-on capabilities](concept-add-on-capabilities.md).
 
 ## Next steps