update what's new and remove dated entries

Author: laujan

articles/ai-services/document-intelligence/concept/add-on-capabilities.md

@@ -93,7 +93,7 @@ The task of recognizing small text from large-size documents, like engineering d
 ### [REST API](#tab/rest-api)
 
 ```bash
-{your-resource-endpoint}.cognitiveservices.azure.com/documentintelligence/documentModels/prebuilt-layout:analyze?api-version=2024-02-29-preview&features=ocrHighResolution
+{your-resource-endpoint}.cognitiveservices.azure.com/documentintelligence/documentModels/prebuilt-layout:analyze?api-version=2024-11-30&features=ocrHighResolution
 ```
 
 ### [Sample code](#tab/sample-code)
@@ -362,7 +362,7 @@ The `ocr.formula` capability extracts all identified formulas, such as mathemati
 ### [REST API](#tab/rest-api)
 
 ```bash
-{your-resource-endpoint}.cognitiveservices.azure.com/documentintelligence/documentModels/prebuilt-layout:analyze?api-version=2024-02-29-preview&features=formulas
+{your-resource-endpoint}.cognitiveservices.azure.com/documentintelligence/documentModels/prebuilt-layout:analyze?api-version=2024-11-30&features=formulas
 ```
 
 ### [Sample code](#tab/sample-code)
@@ -509,7 +509,7 @@ The `ocr.font` capability extracts all font properties of text extracted in the
 ### [REST API](#tab/rest-api)
 
 ```bash
-  {your-resource-endpoint}.cognitiveservices.azure.com/documentintelligence/documentModels/prebuilt-layout:analyze?api-version=2024-02-29-preview&features=styleFont
+  {your-resource-endpoint}.cognitiveservices.azure.com/documentintelligence/documentModels/prebuilt-layout:analyze?api-version=2024-11-30&features=styleFont
 ```
 
 ### [Sample code](#tab/sample-code)
@@ -766,7 +766,7 @@ The `ocr.barcode` capability extracts all identified barcodes in the `barcodes`
 ### [REST API](#tab/rest-api)
 
 ```bash
-{your-resource-endpoint}.cognitiveservices.azure.com/documentintelligence/documentModels/prebuilt-layout:analyze?api-version=2024-02-29-preview&features=barcodes
+{your-resource-endpoint}.cognitiveservices.azure.com/documentintelligence/documentModels/prebuilt-layout:analyze?api-version=2024-11-30&features=barcodes
 ```
 
 ### [Sample code](#tab/sample-code)
@@ -875,7 +875,7 @@ Adding the `languages` feature to the `analyzeResult` request predicts the detec
 ### [REST API](#tab/rest-api)
 
 ```bash
-{your-resource-endpoint}.cognitiveservices.azure.com/documentintelligence/documentModels/prebuilt-layout:analyze?api-version=2024-02-29-preview&features=languages
+{your-resource-endpoint}.cognitiveservices.azure.com/documentintelligence/documentModels/prebuilt-layout:analyze?api-version=2024-11-30&features=languages
 ```
 
 ### [Sample code](#tab/sample-code)
@@ -1025,7 +1025,7 @@ Keys can also exist in isolation when the model detects that a key exists, with
 ### REST API
 
 ```bash
-{your-resource-endpoint}.cognitiveservices.azure.com/documentintelligence/documentModels/prebuilt-layout:analyze?api-version=2024-02-29-preview&features=keyValuePairs
+{your-resource-endpoint}.cognitiveservices.azure.com/documentintelligence/documentModels/prebuilt-layout:analyze?api-version=2024-11-30&features=keyValuePairs
 ```
 
 ## Query Fields
@@ -1065,7 +1065,7 @@ For query field extraction, specify the fields you want to extract and Document
 ### [REST API](#tab/rest-api)
 
 ```bash
-{your-resource-endpoint}.cognitiveservices.azure.com/documentintelligence/documentModels/prebuilt-layout:analyze?api-version=2024-02-29-preview&features=queryFields&queryFields=TERMS
+{your-resource-endpoint}.cognitiveservices.azure.com/documentintelligence/documentModels/prebuilt-layout:analyze?api-version=2024-11-30&features=queryFields&queryFields=TERMS
 ```
 
 ### [Sample code](#tab/sample-code)

articles/ai-services/document-intelligence/concept/incremental-classifier.md

@@ -50,13 +50,13 @@ Incremental training is useful when you want to improve the quality of a custom
 
 ### Create an incremental classifier build request
 
-The incremental classifier build request is similar to the [`classify document` build request](/rest/api/aiservices/document-classifiers?view=rest-aiservices-v4.0%20(2024-02-29-preview)&preserve-view=true) but includes the new `baseClassifierId` property. The `baseClassifierId` is set to the existing classifier that you want to extend. You also need to provide the `docTypes` for the different document types in the sample set. By providing a `docType` that exists in the baseClassifier, the samples provided in the request are added to the samples provided when the base classifier was trained. New `docType` values added in the incremental training are only added to the new classifier. The process to specify the samples remains unchanged. For more information, *see* [training a classifier model](../train/custom-classifier.md#training-a-model).
+The incremental classifier build request is similar to the [`classify document` build request](/rest/api/aiservices/document-classifiers?view=rest-aiservices-v4.0%20(2024-11-30)&preserve-view=true) but includes the new `baseClassifierId` property. The `baseClassifierId` is set to the existing classifier that you want to extend. You also need to provide the `docTypes` for the different document types in the sample set. By providing a `docType` that exists in the baseClassifier, the samples provided in the request are added to the samples provided when the base classifier was trained. New `docType` values added in the incremental training are only added to the new classifier. The process to specify the samples remains unchanged. For more information, *see* [training a classifier model](../train/custom-classifier.md#training-a-model).
 
 ### Sample POST request
 
 ***Sample `POST` request to build an incremental document classifier***
 
-**`POST` {your-endpoint}/documentintelligence/documentClassifiers:build?api-version=2024-02-29-preview**
+**`POST` {your-endpoint}/documentintelligence/documentClassifiers:build?api-version=2024-11-30**
 
 ```json
 {
@@ -94,7 +94,7 @@ Upon successful completion:
 
 ***Sample `GET` request to retrieve the result of an incremental document classifier***
 
-**`GET` {your-endpoint}/documentintelligence/documentClassifiers/{classifierId}/analyzeResults/{resultId}?api-version=2024-02-29-preview**
+**`GET` {your-endpoint}/documentintelligence/documentClassifiers/{classifierId}/analyzeResults/{resultId}?api-version=2024-11-30**
 
 ```json
 
@@ -103,7 +103,7 @@ Upon successful completion:
   "description": "Classifier description",
   "createdDateTime": "2022-07-30T00:00:00Z",
   "expirationDateTime": "2023-01-01T00:00:00Z",
-  "apiVersion": "2024-02-29-preview",
+  "apiVersion": "2024-11-30",
 
   "baseClassifierId": "myOriginalClassifier",
 

articles/ai-services/document-intelligence/concept/retrieval-augmented-generation.md

@@ -61,7 +61,7 @@ The Document Intelligence Layout model **2024-11-30 (GA)** supports the followin
 
 * [Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio).
 
-* [REST API](/rest/api/aiservices/document-models/build-model?view=rest-aiservices-2024-02-29-preview&preserve-view=true&branch=docintelligence&tabs=HTTP).
+* [REST API](/rest/api/aiservices/document-models/build-model?view=rest-aiservices-2024-11-30&preserve-view=true&branch=docintelligence&tabs=HTTP).
 
 * [.NET • Java • JavaScript • Python programming language client libraries (`SDK`s).](../sdk-overview-v4-0.md#supported-programming-languages)
 

articles/ai-services/document-intelligence/how-to-guides/disaster-recovery.md

@@ -66,7 +66,7 @@ The process for copying a custom model consists of the following steps:
 The following HTTP request gets copy authorization from your target resource. You need to enter the endpoint and key of your target resource as headers.
 
 ```http
-POST https://<your-resource-endpoint>/documentintelligence/documentModels:authorizeCopy?api-version=2024-02-29-preview
+POST https://<your-resource-endpoint>/documentintelligence/documentModels:authorizeCopy?api-version=2024-11-30
 Ocp-Apim-Subscription-Key: {<your-key>}
 ```
 
@@ -97,7 +97,7 @@ You receive a `200` response code with response body that contains the JSON payl
 The following HTTP request starts the copy operation on the source resource. You need to enter the endpoint and key of your source resource as the url and header. Notice that the request URL contains the model ID of the source model you want to copy.
 
 ```http
-POST https://<your-resource-endpoint>/documentintelligence/documentModels/{modelId}:copyTo?api-version=2024-02-29-preview
+POST https://<your-resource-endpoint>/documentintelligence/documentModels/{modelId}:copyTo?api-version=2024-11-30
 Ocp-Apim-Subscription-Key: {<your-key>}
 ```
 
@@ -118,7 +118,7 @@ You receive a `202\Accepted` response with an Operation-Location header. This va
 
 ```http
 HTTP/1.1 202 Accepted
-Operation-Location: https://<your-resource-endpoint>.cognitiveservices.azure.com/documentintelligence/operations/{operation-id}?api-version=2024-02-29-preview
+Operation-Location: https://<your-resource-endpoint>.cognitiveservices.azure.com/documentintelligence/operations/{operation-id}?api-version=2024-11-30
 ```
 
 > [!NOTE]
@@ -127,7 +127,7 @@ Operation-Location: https://<your-resource-endpoint>.cognitiveservices.azure.com
 ## Track Copy progress
 
 ```console
-GET https://<your-resource-endpoint>.cognitiveservices.azure.com/documentintelligence/operations/{<operation-id>}?api-version=2024-02-29-preview
+GET https://<your-resource-endpoint>.cognitiveservices.azure.com/documentintelligence/operations/{<operation-id>}?api-version=2024-11-30
 Ocp-Apim-Subscription-Key: {<your-key>}
 ```
 
@@ -136,7 +136,7 @@ Ocp-Apim-Subscription-Key: {<your-key>}
 You can also use the **[`Get model`](/rest/api/aiservices/document-models/get-model?view=rest-aiservices-2023-07-31&preserve-view=true&tabs=HTTP)** API to track the status of the operation by querying the target model. Call the API using the target model ID that you copied down from the [`Generate copy authorization` request](#generate-copy-authorization-request) response.
 
 ```http
-GET https://<your-resource-endpoint>/documentintelligence/documentModels/{modelId}?api-version=2024-02-29-preview" -H "Ocp-Apim-Subscription-Key: <your-key>
+GET https://<your-resource-endpoint>/documentintelligence/documentModels/{modelId}?api-version=2024-11-30" -H "Ocp-Apim-Subscription-Key: <your-key>
 ```
 
 In the response body, you see information about the model. Check the `"status"` field for the status of the model.
@@ -156,7 +156,7 @@ The following code snippets use cURL to make API calls. You also need to fill in
 **Request**
 
 ```bash
-curl -i -X POST "<your-resource-endpoint>/documentintelligence/documentModels:authorizeCopy?api-version=2024-02-29-preview"
+curl -i -X POST "<your-resource-endpoint>/documentintelligence/documentModels:authorizeCopy?api-version=2024-11-30"
 -H "Content-Type: application/json"
 -H "Ocp-Apim-Subscription-Key: <YOUR-KEY>"
 --data-ascii "{
@@ -183,7 +183,7 @@ curl -i -X POST "<your-resource-endpoint>/documentintelligence/documentModels:au
 **Request**
 
 ```bash
-curl -i -X POST "<your-resource-endpoint>/documentintelligence/documentModels/{modelId}:copyTo?api-version=2024-02-29-preview"
+curl -i -X POST "<your-resource-endpoint>/documentintelligence/documentModels/{modelId}:copyTo?api-version=2024-11-30"
 -H "Content-Type: application/json"
 -H "Ocp-Apim-Subscription-Key: <YOUR-KEY>"
 --data-ascii "{
@@ -201,7 +201,7 @@ curl -i -X POST "<your-resource-endpoint>/documentintelligence/documentModels/{m
 
 ```http
 HTTP/1.1 202 Accepted
-Operation-Location: https://<your-resource-endpoint>.cognitiveservices.azure.com/documentintelligence/operations/{operation-id}?api-version=2024-02-29-preview
+Operation-Location: https://<your-resource-endpoint>.cognitiveservices.azure.com/documentintelligence/operations/{operation-id}?api-version=2024-11-30
 ```
 
 ### Track copy operation progress
@@ -233,7 +233,7 @@ The process for copying a custom model consists of the following steps:
 The following HTTP request gets copy authorization from your target resource. You need to enter the endpoint and key of your target resource as headers.
 
 ```http
-POST https://{TARGET_FORM_RECOGNIZER_RESOURCE_ENDPOINT}/formrecognizer/documentModels:authorizeCopy?api-version=2024-02-29-preview
+POST https://{TARGET_FORM_RECOGNIZER_RESOURCE_ENDPOINT}/formrecognizer/documentModels:authorizeCopy?api-version=2024-11-30
 Ocp-Apim-Subscription-Key: {TARGET_FORM_RECOGNIZER_RESOURCE_KEY}
 ```
 

articles/ai-services/document-intelligence/prebuilt/general-document.md

@@ -21,7 +21,7 @@ ms.author: lajanuar
 >
 >| Feature   | version| Model ID |
 >|----------  |---------|--------|
->|`Layout` model with the optional query string parameter **`features=keyValuePairs`** enabled.|&bullet; v4:2024-02-29-preview</br>&bullet; v3.1:2023-07-31 (GA) |**`prebuilt-layout`**|
+>|`Layout` model with the optional query string parameter **`features=keyValuePairs`** enabled.|&bullet; v4:2024-11-30</br>&bullet; v3.1:2023-07-31 (GA) |**`prebuilt-layout`**|
 >|General document model|&bullet; v3.1:2023-07-31 (GA)</br>&bullet; v3.0:2022-08-31 (GA)</br>&bullet; v2.1 (GA)|**`prebuilt-document`**|
 
 :::moniker-end

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

@@ -39,7 +39,7 @@ Document Intelligence Studio contains all features released on or before Novembe
 
 ### When to use [Azure AI Foundry portal](https://ai.azure.com/explore/aiservices/vision)
 
-Start with the new Azure AI Foundry and try any of the prebuilt document models from `2024-02-29-preview` version including general extraction models like Read or Layout.
+Start with the new Azure AI Foundry and try any of the prebuilt document models from `2024-11-30` version including general extraction models like Read or Layout.
 
 ## Learn more about Document Intelligence Studio
 

articles/ai-services/document-intelligence/train/composed-models.md

@@ -140,7 +140,7 @@ Document Intelligence **v4.0:2024-11-30 (GA)** supports the following tools, app
 | Feature | Resources |
 |----------|-------------|
 |***Custom model***| &bullet; [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio/custommodel/projects)</br>&bullet; [REST API](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-11-30)&preserve-view=true)</br>&bullet; [C# SDK](../quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)</br>&bullet; [Java SDK](../quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)</br>&bullet; [JavaScript SDK](../quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)</br>&bullet; [Python SDK](../quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)|
-| ***Composed model***| &bullet; [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio/custommodel/projects)</br>&bullet; [REST API](/rest/api/aiservices/operation-groups?view=rest-aiservices-2024-02-29-preview&preserve-view=true)</br>&bullet; [C# SDK](/dotnet/api/azure.ai.formrecognizer.training.formtrainingclient.startcreatecomposedmodel)</br>&bullet; [Java SDK](/java/api/com.azure.ai.formrecognizer.training.formtrainingclient.begincreatecomposedmodel)</br>&bullet; [JavaScript SDK](/javascript/api/@azure/ai-form-recognizer/documentmodeladministrationclient?view=azure-node-latest#@azure-ai-form-recognizer-documentmodeladministrationclient-begincomposemodel&preserve-view=true)</br>&bullet; [Python SDK](/python/api/azure-ai-formrecognizer/azure.ai.formrecognizer.formtrainingclient?view=azure-python#azure-ai-formrecognizer-formtrainingclient-begin-create-composed-model&preserve-view=true)|
+| ***Composed model***| &bullet; [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio/custommodel/projects)</br>&bullet; [REST API](/rest/api/aiservices/operation-groups?view=rest-aiservices-2024-11-30&preserve-view=true)</br>&bullet; [C# SDK](/dotnet/api/azure.ai.formrecognizer.training.formtrainingclient.startcreatecomposedmodel)</br>&bullet; [Java SDK](/java/api/com.azure.ai.formrecognizer.training.formtrainingclient.begincreatecomposedmodel)</br>&bullet; [JavaScript SDK](/javascript/api/@azure/ai-form-recognizer/documentmodeladministrationclient?view=azure-node-latest#@azure-ai-form-recognizer-documentmodeladministrationclient-begincomposemodel&preserve-view=true)</br>&bullet; [Python SDK](/python/api/azure-ai-formrecognizer/azure.ai.formrecognizer.formtrainingclient?view=azure-python#azure-ai-formrecognizer-formtrainingclient-begin-create-composed-model&preserve-view=true)|
 
 :::moniker-end
 

articles/ai-services/document-intelligence/train/custom-classifier.md

@@ -153,7 +153,7 @@ When using the REST API, if you organize your documents by folders, you can use
 
 ```json
 
-https://{endpoint}/documentintelligence/documentClassifiers:build?api-version=2024-02-29-preview
+https://{endpoint}/documentintelligence/documentClassifiers:build?api-version=2024-11-30
 
 {
   "classifierId": "demo2.1",
@@ -350,7 +350,7 @@ Analyze an input file with the document classification model.
 :::moniker range="doc-intel-4.0.0"
 
 ```json
-https://{endpoint}/documentintelligence/documentClassifiers/{classifier}:analyze?api-version=2024-02-29-preview
+https://{endpoint}/documentintelligence/documentClassifiers/{classifier}:analyze?api-version=2024-11-30
 ```
 
 The `v4.0 2024-11-30 (GA)` API enables you to specify pages to analyze from the input document using the `pages` query parameter in the request.

articles/ai-services/document-intelligence/whats-new.md

@@ -125,7 +125,7 @@ The Document Intelligence Studio adds support for Microsoft Entra (formerly Azur
 
 ## February 2024
 
-The Document Intelligence [**2024-07-31-preview**](/rest/api/aiservices/document-models?view=rest-aiservices-v4.0%20(2024-02-29-preview)&preserve-view=true) REST API is now available. This preview API introduces new and updated capabilities:
+The Document Intelligence [**2024-07-31-preview**](/rest/api/aiservices/document-models?view=rest-aiservices-v4.0%20(2024-11-30)&preserve-view=true) REST API is now available. This preview API introduces new and updated capabilities:
 
 * Public preview version [**2024-07-31-preview**](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-07-31-preview)&preserve-view=true) is currently available only in the following Azure regions:
 
@@ -190,7 +190,7 @@ The [Document Intelligence client libraries](sdk-overview-v4-0.md) targeting RES
 
 ## November 2023
 
-The Document Intelligence [**2023-10-31-preview**](/rest/api/aiservices/document-models?view=rest-aiservices-v4.0%20(2024-02-29-preview)&preserve-view=true) REST API is now available. This preview API introduces new and updated capabilities:
+The Document Intelligence [**2023-10-31-preview**](/rest/api/aiservices/document-models?view=rest-aiservices-v4.0%20(2024-11-30)&preserve-view=true) REST API is now available. This preview API introduces new and updated capabilities:
 
 * Public preview version [**2023-10-31-preview**](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-07-31-preview)&preserve-view=true) is currently only available in the following Azure regions: