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Copy file name to clipboardExpand all lines: articles/active-directory/verifiable-credentials/get-started-request-api.md
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}
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```
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For the complete code, check out one of the following code samples, [C#](https://github.com/Azure-Samples/active-directory-verifiable-credentials-dotnet/blob/main/1-asp-net-core-api-idtokenhint/IssuerController.cs) and [Node.js](https://github.com/Azure-Samples/active-directory-verifiable-credentials-node/blob/main/1-node-api-idtokenhint/issuer.js).
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For the complete code, check out one of the following code samples, [C#](https://github.com/Azure-Samples/active-directory-verifiable-credentials-dotnet/blob/main/AspNetCoreVerifiableCredentials/IssuerController.cs) and [Node.js](https://github.com/Azure-Samples/active-directory-verifiable-credentials-node/blob/main/1-node-api-idtokenhint/issuer.js).
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## Presentation request example
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}
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```
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Forthecompletecode, seethe [issuance](https://github.com/Azure-Samples/active-directory-verifiable-credentials-dotnet/blob/main/1-asp-net-core-api-idtokenhint/IssuerController.cs) and [presentation](https://github.com/Azure-Samples/active-directory-verifiable-credentials-dotnet/blob/main/1-asp-net-core-api-idtokenhint/VerifierController.cs) code on the GitHub repo.
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Forthecompletecode, seethe [issuance](https://github.com/Azure-Samples/active-directory-verifiable-credentials-dotnet/blob/main/AspNetCoreVerifiableCredentials/IssuerController.cs) and [presentation](https://github.com/Azure-Samples/active-directory-verifiable-credentials-dotnet/blob/main/AspNetCoreVerifiableCredentials/VerifierController.cs) code on the GitHub repo.
Copy file name to clipboardExpand all lines: articles/applied-ai-services/form-recognizer/concept-custom.md
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ms.service: applied-ai-services
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ms.subservice: forms-recognizer
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ms.topic: conceptual
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ms.date: 10/07/2021
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ms.date: 10/16/2021
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ms.author: lajanuar
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recommendations: false
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---
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***Composed models**. A composed model is created by taking a collection of custom models and assigning them to a single model that encompasses your form types. When a document is submitted to a composed model, the service performs a classification step to decide which custom model accurately represents the form presented for analysis.
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:::image type="content" source="media/analyze.png" alt-text="Screenshot: Form Recognizer tool analyze-a-custom-form window.":::
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:::image type="content" source="media/analyze-studio.png" alt-text="Screenshot: Form Recognizer tool analyze-a-custom-form window.":::
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## What is a custom model?
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With composed models, you can assign multiple custom models to a composed model called with a single model ID. This is useful when you have trained several models and want to group them to analyze similar form types. For example, your composed model may include custom models trained to analyze your supply, equipment, and furniture purchase orders. Instead of manually trying to select the appropriate model, you can use a composed model to determine the appropriate custom model for each analysis and extraction.
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## Try Form Recognizer Studio (Preview)
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## Form Recognizer Studio (Preview)
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* Form Recognizer studio is available with the preview (v3.0) API.
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> [!div class="nextstepaction"]
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> [Try Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio/customform/projects)
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## Try Form Recognizer Sample labeling tool
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## Sample Labeling tool
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You can see how data is extracted from custom forms by trying our Sample Labeling tool. You'll need the following:
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* An Azure subscription—you can [create one for free](https://azure.microsoft.com/free/cognitive-services/)
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* A [Form Recognizer instance](https://ms.portal.azure.com/#create/Microsoft.CognitiveServicesFormRecognizer)) in the Azure portal. You can use the free pricing tier (`F0`) to try the service. After your resource deploys, click **Go to resource** to get your API key and endpoint.
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* A [Form Recognizer instance](https://ms.portal.azure.com/#create/Microsoft.CognitiveServicesFormRecognizer) in the Azure portal. You can use the free pricing tier (`F0`) to try the service. After your resource deploys, click **Go to resource** to get your API key and endpoint.
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:::image type="content" source="media/containers/keys-and-endpoint.png" alt-text="Screenshot: keys and endpoint location in the Azure portal.":::
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* The total size of the training data is 500 pages or less.
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* If your PDFs are password-locked, you must remove the lock before submission.
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* For unsupervised learning (without labeled data):
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*data must contain keys and values.
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*keys must appear above or to the left of the values; they can't appear below or to the right.
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*Data must contain keys and values.
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*Keys must appear above or to the left of the values; they can't appear below or to the right.
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> [!TIP]
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> **Training data**
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* Explore our [**REST API (preview)**](https://westus.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v3-0-preview-1/operations/AnalyzeDocument) to learn more about the preview version and new capabilities.
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### Try signature detection
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1. Build your training data set.
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1. Navigate to the [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio) and select **Custom form** under Custom models:
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:::image type="content" source="media/label-tool/select-custom-form.png" alt-text="Screenshot: Form Recognizer Studio select custom form.":::
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1. Follow the workflow to create a new project:
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1. Follow the Custom model input requirements.
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1. Create a label with the type **Signature**.
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1. Label your documents. For signature fields, using region labeling is recommended for better accuracy.
Once your training set has been labeled, you can train your custom model and use it to analyze documents. The signature fields will specify whether a signature was detected or not.
Copy file name to clipboardExpand all lines: articles/automation/change-tracking/remove-vms-from-change-tracking.md
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---
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title: Remove VMs from Azure Automation Change Tracking and Inventory
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description: This article tells how to remove VMs from Change Tracking and Inventory.
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title: Remove machines from Azure Automation Change Tracking and Inventory
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description: This article tells how to remove Azure and non-Azure machines from Change Tracking and Inventory.
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services: automation
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ms.subservice: change-inventory-management
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ms.topic: conceptual
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ms.date: 05/26/2021
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ms.date: 10/20/2021
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---
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# Remove VMs from Change Tracking and Inventory
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# Remove machines from Change Tracking and Inventory
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When you're finished tracking changes on the VMs in your environment, you can stop managing them with the [Change Tracking and Inventory](overview.md) feature. To stop managing them, you will edit the saved search query `MicrosoftDefaultComputerGroup` in your Log Analytics workspace that is linked to your Automation account.
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When you're finished tracking changes on your Azure or non-Azure machines in your environment, you can stop managing them with the [Change Tracking and Inventory](overview.md) feature. To stop managing them, you will edit the saved search query `MicrosoftDefaultComputerGroup` in your Log Analytics workspace that is linked to your Automation account.
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## Sign into the Azure portal
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Sign in to the [Azure portal](https://portal.azure.com).
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## To remove your VMs
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## To remove your machines
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1. In the Azure portal, launch **Cloud Shell** from the top navigation of the Azure portal. If you are unfamiliar with Azure Cloud Shell, see [Overview of Azure Cloud Shell](../../cloud-shell/overview.md).
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2. Use the following command to identify the UUID of a machine that you want to remove from management.
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2. Use the following method to identify the UUID of an Azure virtual machine or non-Azure machine that you want to remove from management.
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```azurecli
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az vm show -g MyResourceGroup -n MyVm -d
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```
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# [Azure VM](#tab/azure-vm)
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```azurecli
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az vm show -g MyResourceGroup -n MyVm -d
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```
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# [Non-Azure machine](#tab/non-azure-machine)
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```kusto
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Heartbeat
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| where TimeGenerated > ago(30d)
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| where ResourceType == "machines" and (ComputerEnvironment == "Non-Azure")
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| summarize by Computer, VMUUID
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```
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---
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3. In the Azure portal, navigate to **Log Analytics workspaces**. Select your workspace from the list.
Copy file name to clipboardExpand all lines: articles/automation/update-management/remove-vms.md
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title: Remove VMs from Azure Automation Update Management
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description: This article tells how to remove machines managed with Update Management.
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title: Remove machines from Azure Automation Update Management
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description: This article tells how to remove Azure and non-Azure machines managed with Update Management.
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services: automation
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ms.topic: conceptual
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ms.custom: mvc
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# Remove VMs from Update Management
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When you're finished managing updates on your VMs in your environment, you can stop managing VMs with the [Update Management](overview.md) feature. To stop managing them, you will edit the saved search query `MicrosoftDefaultComputerGroup` in your Log Analytics workspace that is linked to your Automation account.
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When you're finished managing updates on your Azure or non-Azure machines in your environment, you can stop managing them with the [Update Management](overview.md) feature. To stop managing them, you will edit the saved search query `MicrosoftDefaultComputerGroup` in your Log Analytics workspace that is linked to your Automation account.
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## Sign into the Azure portal
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Sign in to the [Azure portal](https://portal.azure.com).
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## To remove your VMs
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## To remove your machines
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1. In the Azure portal, launch **Cloud Shell** from the top navigation of the Azure portal. If you are unfamiliar with Azure Cloud Shell, see [Overview of Azure Cloud Shell](../../cloud-shell/overview.md).
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2. Use the following command to identify the UUID of a machine that you want to remove from management.
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2. Use the following method to identify the UUID of an Azure virtual machine or non-Azure machine that you want to remove from management.
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```azurecli
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az vm show -g MyResourceGroup -n MyVm -d
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```
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# [Azure VM](#tab/azure-vm)
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```azurecli
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az vm show -g MyResourceGroup -n MyVm -d
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```
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# [Non-Azure machine](#tab/non-azure-machine)
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```kusto
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Heartbeat
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| where TimeGenerated > ago(30d)
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| where ResourceType == "machines" and (ComputerEnvironment == "Non-Azure")
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| summarize by Computer, VMUUID
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```
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---
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6. From the table, click the icon **Run query** to the right of the item **MicrosoftDefaultComputerGroup** with the **Legacy category** value **Updates**.
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7. In the query editor, review the query and find the UUID for the VM. Remove the UUID for the VM and repeat the steps for any other VMs you want to remove.
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7. In the query editor, review the query and find the UUID for the machine. Remove the UUID for the machine and repeat the steps for any other machines you want to remove.
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> [!NOTE]
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> For added protection, before making edits be sure to make a copy of the query. Then you can restore it if a problem occurs.
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## Next steps
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To re-enable managing your virtual machine, see [Enable Update Management by browsing the Azure portal](enable-from-portal.md) or [Enable Update Management from an Azure VM](enable-from-vm.md).
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To re-enable managing your Azure or non-Azure machine, see [Enable Update Management by browsing the Azure portal](enable-from-portal.md) or [Enable Update Management from an Azure VM](enable-from-vm.md).
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