Merge pull request #204472 from PatrickFarley/cogserv

[cog svcs] build validation fixes

Author: PRMerger7

articles/applied-ai-services/form-recognizer/concept-model-overview.md

@@ -182,9 +182,9 @@ A composed model is created by taking a collection of custom models and assignin
 | **Model ID** | **Text extraction** | **Language detection** | **Selection Marks** | **Tables** | **Paragraphs** | **Paragraph roles** | **Key-Value pairs** | **Fields** |
 |:-----|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|
 |🆕 [prebuilt-read](concept-read.md#data-extraction) | ✓ | ✓ |  |  | ✓ |   |  |   |  
-|🆕 [prebuilt-tax.us.w2](concept-w2.md#field-extraction) | ✓  |   |  ✓  |  | ✓ |    |  | ✓ |  
-|🆕 [prebuilt-document](concept-general-document.md#data-extraction)| ✓  |   |  ✓ | ✓ | ✓  |    | ✓  |  | 
-| [prebuilt-layout](concept-layout.md#data-extraction)  | ✓  |   | ✓ | ✓ | ✓  | ✓  |  |  |   |  
+|🆕 [prebuilt-tax.us.w2](concept-w2.md#field-extraction) | ✓  |   |  ✓  |  | ✓ |    |  | ✓ |
+|🆕 [prebuilt-document](concept-general-document.md#data-extraction)| ✓  |   |  ✓ | ✓ | ✓  |    | ✓  |  |
+| [prebuilt-layout](concept-layout.md#data-extraction)  | ✓  |   | ✓ | ✓ | ✓  | ✓  |  |  | 
 | [prebuilt-invoice](concept-invoice.md#field-extraction)  | ✓ |   | ✓  | ✓ | ✓ |   | ✓ | ✓ |  
 | [prebuilt-receipt](concept-receipt.md#field-extraction)  | ✓  |   |  |  | ✓ |   |  | ✓ | 
 | [prebuilt-idDocument](concept-id-document.md#field-extraction) | ✓ |   |   |  | ✓ |   |  | ✓ | 

articles/cognitive-services/language-service/question-answering/how-to/authoring.md

@@ -15,7 +15,7 @@ ms.date: 11/23/2021
 The question answering Authoring API is used to automate common tasks like adding new question answer pairs, as well as creating, publishing, and maintaining projects/knowledge bases. 
 
 > [!NOTE]
-> Authoring functionality is available via the REST API and [Authoring SDK (preview)](https://docs.microsoft.com/dotnet/api/overview/azure/ai.language.questionanswering-readme-pre). This article provides examples of using the REST API with cURL. For full documentation of all parameters and functionality available consult the [REST API reference content](/rest/api/cognitiveservices/questionanswering/question-answering-projects).
+> Authoring functionality is available via the REST API and [Authoring SDK (preview)](/dotnet/api/overview/azure/ai.language.questionanswering-readme-pre). This article provides examples of using the REST API with cURL. For full documentation of all parameters and functionality available consult the [REST API reference content](/rest/api/cognitiveservices/questionanswering/question-answering-projects).
 
 ## Prerequisites
 

articles/cognitive-services/openai/how-to/fine-tuning.md

@@ -236,7 +236,7 @@ When you're done with your fine-tuned model, you can delete the deployment and f
 
 ### Delete your model deployment
 
-To delete a deployment, you can use the [Azure CLI](/cli/azure/cognitiveservices/account/deployment?view=azure-cli-latest#az-cognitiveservices-account-deployment-delete), Azure OpenAI Studio or [REST APIs](../reference.md#delete-a-deployment). here's an example of how to delete your deployment with the Azure CLI:
+To delete a deployment, you can use the [Azure CLI](/cli/azure/cognitiveservices/account/deployment?view=azure-cli-latest&preserve-view=true#az-cognitiveservices-account-deployment-delete), Azure OpenAI Studio or [REST APIs](../reference.md#delete-a-deployment). here's an example of how to delete your deployment with the Azure CLI:
 
 ```console
 az cognitiveservices account deployment delete --name

articles/cognitive-services/openai/how-to/managed-identity.md

@@ -22,7 +22,7 @@ In the following sections, you'll use  the Azure CLI to assign roles, and obtain
 
 - An Azure subscription
 - Access granted to service in the desired Azure subscription. 
-- Azure CLI. [Installation Guide](https://docs.microsoft.com/cli/azure/install-azure-cli)
+- Azure CLI. [Installation Guide](/cli/azure/install-azure-cli)
 - The following python libraries: os, requests, json
 
 ## Sign into the Azure CLI

articles/cognitive-services/openai/includes/create-resource-cli.md

@@ -15,15 +15,15 @@ keywords:
 ## Prerequisites
 
 - An Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services)
-- Access granted to service in the desired Azure subscription. This service is currently invite only. You can fill out a new use case request here: <https://aka.ms/oai/access>. Please open an issue on this repo to contact us if you have an issue
+- Access granted to service in the desired AzuFre subscription. This service is currently invite only. You can fill out a new use case request here: <https://aka.ms/oai/access>. Please open an issue on this repo to contact us if you have an issue
 - Azure CLI. [Installation guide](/cli/azure/install-azure-cli)
 
 ## Sign in to the CLI
 
 run the az login command to log in, `az login`
 
 ## Create a new Azure Resource Group
-You must have an Azure resource group in order to create an OpenAI resource. When you create a new resource, you have the option to either create a new resource group, or use an existing one. This article shows how to create a new resource group. You can create a new resource group in the Azure CLI using the `az group create` command. The example below creates a new resource group in the eastus location. you can find the full [reference documentation here](/cli/azure/group?view=azure-cli-latest#az-group-create).
+You must have an Azure resource group in order to create an OpenAI resource. When you create a new resource, you have the option to either create a new resource group, or use an existing one. This article shows how to create a new resource group. You can create a new resource group in the Azure CLI using the `az group create` command. The example below creates a new resource group in the eastus location. you can find the full [reference documentation here](/cli/azure/group?view=azure-cli-latest&preserve-view=true#az-group-create).
 
 ```azurecli
 az group create \
@@ -32,7 +32,7 @@ az group create \
 ```
 
 ## Create a resource
-Run the following command to create an OpenAI resource in the new resource group. In this example, we create a resource called MyOpenAIResource in the resource group called OAIResourceGroup. Make sure to update with your own values for the resource group, resource name and your Azure Subscription ID. You can find the full [reference documentation here](/cli/azure/cognitiveservices/account?view=azure-cli-latest#az-cognitiveservices-account-create).
+Run the following command to create an OpenAI resource in the new resource group. In this example, we create a resource called MyOpenAIResource in the resource group called OAIResourceGroup. Make sure to update with your own values for the resource group, resource name and your Azure Subscription ID. You can find the full [reference documentation here](/cli/azure/cognitiveservices/account?view=azure-cli-latest&preserve-view=true#az-cognitiveservices-account-create).
 
 ```azurecli
 az cognitiveservices account create \
@@ -46,7 +46,7 @@ az cognitiveservices account create \
 
 
 ## Retrieve information from your resource
-Once your resource has been created, you can use the Azure CLI to find useful information about your service such as your REST API endpoint base URL and the access keys. Below are examples on how to do both. You can find the full [reference documentation here](/cli/azure/cognitiveservices/account?view=azure-cli-latest).
+Once your resource has been created, you can use the Azure CLI to find useful information about your service such as your REST API endpoint base URL and the access keys. Below are examples on how to do both. You can find the full [reference documentation here](/cli/azure/cognitiveservices/account?view=azure-cli-latest&preserve-view=true).
 
 1.	**Retrieve your endpoint**: 
 
@@ -66,7 +66,7 @@ Once your resource has been created, you can use the Azure CLI to find useful in
 
 ## Deploy a model
 
-To deploy a model, you can use the Azure CLI to run the following command to deploy an instance of text-curie-001. In this example, we deploy a model called MyModel. Make sure to update with your own values. You don't need to change the `model-version`, `model-format` or `scale-settings-scale-type` values. You can find the full [reference documentation here](/cli/azure/cognitiveservices/account/deployment?view=azure-cli-latest).
+To deploy a model, you can use the Azure CLI to run the following command to deploy an instance of text-curie-001. In this example, we deploy a model called MyModel. Make sure to update with your own values. You don't need to change the `model-version`, `model-format` or `scale-settings-scale-type` values. You can find the full [reference documentation here](/cli/azure/cognitiveservices/account/deployment?view=azure-cli-latest&preserve-view=true).
 
 ```azurecli
 az cognitiveservices account deployment create \
@@ -81,7 +81,7 @@ az cognitiveservices account deployment create \
 
 ## Delete a model from your resource
 
-You can delete any model you've deployed from your resource. To do so, you can use the Azure CLI to run the following command. In this example, we delete a model called MyModel. Make sure to update with your own values. You can find the full [reference documentation here](/cli/azure/cognitiveservices/account/deployment?view=azure-cli-latest#az-cognitiveservices-account-deployment-delete).
+You can delete any model you've deployed from your resource. To do so, you can use the Azure CLI to run the following command. In this example, we delete a model called MyModel. Make sure to update with your own values. You can find the full [reference documentation here](/cli/azure/cognitiveservices/account/deployment?view=azure-cli-latest&preserve-view=true#az-cognitiveservices-account-deployment-delete).
 
 ```azurecli
 az cognitiveservices account deployment delete \