Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into service-tags-links

Author: asudbring

articles/ai-services/document-intelligence/concept-mortgage-documents.md

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: conceptual
-ms.date: 04/24/2024
+ms.date: 05/07/2024
 ms.author: lajanuar
 monikerRange: '>=doc-intel-4.0.0'
 ---
@@ -25,9 +25,9 @@ The Document Intelligence Mortgage models use powerful Optical Character Recogni
 
 **Supported document types:**
 
-* 1003 End-User License Agreement (EULA)
-* Form 1008
-* Mortgage closing disclosure
+* Uniform Residential Loan Application (Form 1003)
+* Uniform Underwriting and Transmittal Summary (Form 1008)
+* Closing Disclosure form
 
 
 ## Development options
@@ -72,9 +72,9 @@ To see how data extraction works for the mortgage documents service, you need th
 
 *See* our [Language Support—prebuilt models](language-support-prebuilt.md) page for a complete list of supported languages.
 
-## Field extraction 1003 EULA
+## Field extraction 1003 Uniform Residential Loan Application (URLA)
 
-The following are the fields extracted from a 1003 end-user license agreement (EULA) form in the JSON output response.
+The following are the fields extracted from a 1003 URLA form in the JSON output response.
 
 |Name| Type | Description | Example output |
 |:-----|:----|:----|:---:|
@@ -86,9 +86,9 @@ The following are the fields extracted from a 1003 end-user license agreement (E
 | Loan| Object | An object that contains loan information including: amount, purpose type, refinance type.| |
 | Property | object | An object that contains information about the property including: address, number of units, value.|  |
 
-The 1003 EULA key-value pairs and line items extracted are in the `documentResults` section of the JSON output.
+The 1003 URLA key-value pairs and line items extracted are in the `documentResults` section of the JSON output.
 
-## Field extraction tax form 1008
+## Field extraction 1008 Uniform Underwriting and Transmittal Summary
 
 The following are the fields extracted from a 1008 form in the JSON output response.
 
@@ -112,7 +112,6 @@ The following are the fields extracted from a mortgage closing disclosure form i
 | Transaction | Object | An object that contains information about the transaction information including: Borrowers name, Borrowers address, Seller name.|  |
 | Loan | Object | An object that contains loan information including: term, purpose, product. | |
 
-
 The mortgage closing disclosure key-value pairs and line items extracted are in the `documentResults` section of the JSON output.
 
 ## Next steps

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

@@ -8,7 +8,7 @@ ms.service: azure-ai-document-intelligence
 ms.custom:
   - ignite-2023
 ms.topic: overview
-ms.date: 04/24/2024
+ms.date: 05/07/2024
 ms.author: lajanuar
 monikerRange: '<=doc-intel-4.0.0'
 ---
@@ -318,7 +318,6 @@ You can use Document Intelligence to automate document processing in application
 > [Return to model types](#document-analysis-models)
 
 :::moniker-end
-
 ### Invoice
 
 :::image type="content" source="media/overview/analyze-invoice.png" alt-text="Screenshot of Invoice model analysis using Document Intelligence Studio.":::
@@ -358,7 +357,7 @@ You can use Document Intelligence to automate document processing in application
 
 | Model ID | Description |Automation use cases | Development options |
 |----------|--------------|-------------------------|-----------|
-|[**prebuilt-mortgage.us.1003**](concept-mortgage-documents.md)|&#9679; Extract key information from 1003 loan applications. </br>&#9679; [Data and field extraction](concept-mortgage-documents.md#field-extraction-1003-eula)|&#9679; Fannie Mae and Freddie Mac documentation requirements.| &#9679; [**Document Intelligence Studio**](https://documentintelligence.ai.azure.com/studio/prebuilt?formCategory=mortgage.us.1003&formType=mortgage.us.1003)</br>&#9679; [**REST API**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true&pivots=programming-language-rest-api#analyze-document-post-request)</br>&#9679; [**C# SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Python SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Java SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**JavaScript**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)|
+|[**prebuilt-mortgage.us.1003**](concept-mortgage-documents.md)|&#9679; Extract key information from `1003` loan applications. </br>&#9679; [Data and field extraction](concept-mortgage-documents.md#field-extraction-1003-uniform-residential-loan-application-urla)|&#9679; Fannie Mae and Freddie Mac documentation requirements.| &#9679; [**Document Intelligence Studio**](https://documentintelligence.ai.azure.com/studio/prebuilt?formCategory=mortgage.us.1003&formType=mortgage.us.1003)</br>&#9679; [**REST API**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true&pivots=programming-language-rest-api#analyze-document-post-request)</br>&#9679; [**C# SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Python SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Java SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**JavaScript**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)|
 
 > [!div class="nextstepaction"]
 > [Return to model types](#prebuilt-models)
@@ -369,7 +368,7 @@ You can use Document Intelligence to automate document processing in application
 
 | Model ID | Description |Automation use cases | Development options |
 |----------|--------------|-------------------------|-----------|
-|[**prebuilt-mortgage.us.1008**](concept-mortgage-documents.md)|&#9679; Extract key information from Uniform Underwriting and Transmittal Summary. </br>&#9679; [Data and field extraction](concept-mortgage-documents.md#field-extraction-tax-form-1008)|&#9679; Loan underwriting processing using summary data.| &#9679; [**Document Intelligence Studio**](https://documentintelligence.ai.azure.com/studio/prebuilt?formCategory=mortgage.us.1008&formType=mortgage.us.1008)</br>&#9679; [**REST API**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true&pivots=programming-language-rest-api#analyze-document-post-request)</br>&#9679; [**C# SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Python SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Java SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**JavaScript**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)|
+|[**prebuilt-mortgage.us.1008**](concept-mortgage-documents.md)|&#9679; Extract key information from Uniform Underwriting and Transmittal Summary. </br>&#9679; [Data and field extraction](concept-mortgage-documents.md#field-extraction-1008-uniform-underwriting-and-transmittal-summary)|&#9679; Loan underwriting processing using summary data.| &#9679; [**Document Intelligence Studio**](https://documentintelligence.ai.azure.com/studio/prebuilt?formCategory=mortgage.us.1008&formType=mortgage.us.1008)</br>&#9679; [**REST API**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true&pivots=programming-language-rest-api#analyze-document-post-request)</br>&#9679; [**C# SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Python SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Java SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**JavaScript**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)|
 
 > [!div class="nextstepaction"]
 > [Return to model types](#prebuilt-models)
@@ -454,7 +453,7 @@ You can use Document Intelligence to automate document processing in application
 
 | Model ID | Description |Development options |
 |----------|--------------|-------------------|
-|[**prebuilt-tax.us.1098E**](concept-tax-document.md)|Extract student loan information and details. </br>&#9679; [Data and field extraction](concept-tax-document.md#field-extraction-1098)|&#9679; [**Document Intelligence Studio**](https://documentintelligence.ai.azure.com/studio/prebuilt?formCategory=tax.us.1098&formType=tax.us.1098E)</br>&#9679; [**REST API**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true&pivots=programming-language-rest-api#analyze-document-post-request)</br>&#9679; [**C# SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Python SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Java SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**JavaScript**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)|
+|[**prebuilt-tax.us.1098E**](concept-tax-document.md)|Extract student loan information and details. </br>&#9679; [Data and field extraction](concept-tax-document.md#field-extraction-1098)|&#9679; [**Document Intelligence Studio**](https://documentintelligence.ai.azure.com/studio/prebuilt?formCategory=tax.us.1098&formType=tax.us.1098E)</br>&#9679; </br>&#9679; [**REST API**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true&pivots=programming-language-rest-api#analyze-document-post-request)</br>&#9679; [**C# SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Python SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Java SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**JavaScript**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)|
 
 > [!div class="nextstepaction"]
 > [Return to model types](#prebuilt-models)
@@ -476,7 +475,7 @@ You can use Document Intelligence to automate document processing in application
 
 | Model ID |Description|Development options |
 |----------|--------------|-----------------|
-|[**prebuilt-tax.us.1099{`variation`}**](concept-tax-document.md)|Extract information from 1099-form variations.</br>&#9679; [Data and field extraction](concept-tax-document.md#field-extraction-1099-nec)|&#9679; [**Document Intelligence Studio**](https://documentintelligence.ai.azure.com/studio/prebuilt?formCategory=tax.us.1099)</br>&#9679; [**REST API**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true&pivots=programming-language-rest-api#analyze-document-post-request)</br>&#9679; [**C# SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Python SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Java SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**JavaScript**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)|
+|[**prebuilt-tax.us.1099{`variation`}**](concept-tax-document.md)|Extract information from 1099-form variations.|&#9679; </br>&#9679; [Data and field extraction](concept-tax-document.md#field-extraction-1099-nec) [**Document Intelligence Studio**](https://documentintelligence.ai.azure.com/studio/prebuilt?formCategory=tax.us.1099)</br>&#9679; [**REST API**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true&pivots=programming-language-rest-api#analyze-document-post-request)</br>&#9679; [**C# SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Python SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Java SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**JavaScript**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)|
 
 > [!div class="nextstepaction"]
 > [Return to model types](#prebuilt-models)
@@ -487,7 +486,7 @@ You can use Document Intelligence to automate document processing in application
 
 | Model ID |Description|Development options |
 |----------|--------------|-----------------|
-|**prebuilt-tax.us.1040**|Extract information from 1040-form variations.</br>&#9679; [Data and field extraction](concept-tax-document.md#field-extraction-1040-tax-form)|&#9679; [**Document Intelligence Studio**](https://documentintelligence.ai.azure.com/studio/prebuilt?formCategory=tax.us.1040)</br>&#9679; [**REST API**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true&pivots=programming-language-rest-api#analyze-document-post-request)</br>&#9679; [**C# SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Python SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Java SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**JavaScript**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)|
+|**prebuilt-tax.us.1040**|Extract information from 1040-form variations.|&#9679; </br>&#9679; [Data and field extraction](concept-tax-document.md#field-extraction-1040-tax-form) [**Document Intelligence Studio**](https://documentintelligence.ai.azure.com/studio/prebuilt?formCategory=tax.us.1040)</br>&#9679; [**REST API**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true&pivots=programming-language-rest-api#analyze-document-post-request)</br>&#9679; [**C# SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Python SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Java SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**JavaScript**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)|
 
 ::: moniker range="<=doc-intel-3.1.0"
 
@@ -539,7 +538,7 @@ You can use Document Intelligence to automate document processing in application
 
 | About | Description |Automation use cases | Development options |
 |----------|--------------|-------------------------|-----------|
-|[**Custom Neural model**](concept-custom-neural.md)| The custom neural model is used to extract labeled data from structured (surveys, questionnaires), semi-structured (invoices, purchase orders), and unstructured documents (contracts, letters).|Extract text data, checkboxes, and tabular fields from structured and unstructured documents.|&#9679; [**Document Intelligence Studio**](https://formrecognizer.appliedai.azure.com/studio/custommodel/projects)</br>&#9679; [**REST API**](/rest/api/aiservices/document-models/build-model?view=rest-aiservices-2023-07-31&preserve-view=true&tabs=HTTP)</br>&#9679; [**C# SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)</br>&#9679; [**Java SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)</br>&#9679; [**JavaScript SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)</br>&#9679; [**Python SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)|
+|[**Custom Neural model**](concept-custom-neural.md)| The custom neural model is used to extract labeled data from structured (surveys, questionnaires), semi-structured (invoices, purchase orders), and unstructured documents (contracts, letters).|Extract text data, checkboxes, and tabular fields from structured and unstructured documents.|[**Document Intelligence Studio**](https://formrecognizer.appliedai.azure.com/studio/custommodel/projects)</br>&#9679; [**REST API**](/rest/api/aiservices/document-models/build-model?view=rest-aiservices-2023-07-31&preserve-view=true&tabs=HTTP)</br>&#9679; [**C# SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)</br>&#9679; [**Java SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)</br>&#9679; [**JavaScript SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)</br>&#9679; [**Python SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)|
 
 > [!div class="nextstepaction"]
 > [Return to custom model types](#custom-models)

articles/aks/TOC.yml

@@ -352,6 +352,8 @@
           href: use-tags.md
         - name: Labels
           href: use-labels.md
+        - name: Node taints
+          href: use-node-taints.md
     - name: Security
       items:
         - name: Container security

articles/aks/manage-node-pools.md

@@ -322,50 +322,7 @@ When creating a node pool, you can add taints, labels, or tags to it. When you a
 
 ### Set node pool taints
 
-1. Create a node pool with a taint using the [`az aks nodepool add`][az-aks-nodepool-add] command. Specify the name *taintnp* and use the `--node-taints` parameter to specify *sku=gpu:NoSchedule* for the taint.
-
-    ```azurecli-interactive
-    az aks nodepool add \
-        --resource-group myResourceGroup \
-        --cluster-name myAKSCluster \
-        --name taintnp \
-        --node-count 1 \
-        --node-taints sku=gpu:NoSchedule \
-        --no-wait
-    ```
-
-2. Check the status of the node pool using the [`az aks nodepool list`][az-aks-nodepool-list] command.
-
-    ```azurecli-interactive
-    az aks nodepool list -g myResourceGroup --cluster-name myAKSCluster
-    ```
-
-    The following example output shows that the *taintnp* node pool is *Creating* nodes with the specified *nodeTaints*:
-
-    ```output
-    [
-      {
-        ...
-        "count": 1,
-        ...
-        "name": "taintnp",
-        "orchestratorVersion": "1.15.7",
-        ...
-        "provisioningState": "Creating",
-        ...
-        "nodeTaints":  [
-          "sku=gpu:NoSchedule"
-        ],
-        ...
-      },
-     ...
-    ]
-    ```
-
-The taint information is visible in Kubernetes for handling scheduling rules for nodes. The Kubernetes scheduler can use taints and tolerations to restrict what workloads can run on nodes.
-
-* A **taint** is applied to a node that indicates only specific pods can be scheduled on them.
-* A **toleration** is then applied to a pod that allows them to *tolerate* a node's taint.
+AKS supports two kinds of node taints: node taints and node initialization taints (preview). For more information, see [Use node taints in an Azure Kubernetes Service (AKS) cluster][use-node-taints].
 
 For more information on how to use advanced Kubernetes scheduled features, see [Best practices for advanced scheduler features in AKS][taints-tolerations]
 
@@ -583,4 +540,4 @@ When you use an Azure Resource Manager template to create and manage resources,
 [use-tags]: use-tags.md
 [az-extension-add]: /cli/azure/extension#az_extension_add
 [az-extension-update]: /cli/azure/extension#az_extension_update
-
+[use-node-taints]: ./use-node-taints.md