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articles/ai-services/document-intelligence/faq.yml

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The Copy API enables this scenario by allowing you to copy custom models from one Document Intelligence account or into others, which can exist in any supported geographical region. Follow [this document](disaster-recovery.md) for detailed instructions. The copy operation is limited to copying models within the specific cloud environment the model was trained in. For instance, copying models from the public cloud to the Azure Government clod isn't supported.
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Why was I charged for Layout when running custom training?
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Layout is required to generate lables for your dataset. If the data set you run custom training on does not have label files available, they will be auto-generated for you.
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- name: Storage account
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articles/communication-services/quickstarts/email/enable-user-engagement-tracking.md

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:::image type="content" source="./media/email-domains-custom-overview.png" alt-text="Screenshot that shows the overview page of the domain." lightbox="media/email-domains-custom-overview-expanded.png":::
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5. The navigation lands in Domain Overview page where you'll able to see User interaction tracking Off by default.
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5. Click turn on to enable engagement tracking.
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:::image type="content" source="./media/email-domains-user-engagement.png" alt-text="Screenshot that shows the user engagement turn-on page of the domain." lightbox="media/email-domains-user-engagement-expanded.png":::
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6. Click turn on to enable engagement tracking.
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**Your email domain is now ready to send emails with user engagement tracking. Please be aware that user engagement tracking is applicable to HTML content and will not function if you submit the payload in plaintext.**
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You can now subscribe to Email User Engagement operational logs - provides information related to 'open' and 'click' user engagement metrics for messages sent from the Email service.

articles/hdinsight/hdinsight-hadoop-create-linux-clusters-azure-powershell.md

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ms.topic: how-to
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ms.tool: azure-powershell
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ms.custom: hdinsightactive, devx-track-azurepowershell
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ms.date: 09/19/2023
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ms.date: 01/29/2024
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# Create Linux-based clusters in HDInsight using Azure PowerShell
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The following script demonstrates how to create a new cluster:
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[!code-powershell[main](../../azure_powershell_scripts/hdinsight/create-cluster/create-cluster.ps1?range=5-82)]
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[!code-powershell[main](../../azure_powershell_scripts/hdinsight/create-cluster/create-cluster.ps1?range=5-74)]
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The values you specify for the cluster login are used to create the Hadoop user account for the cluster. Use this account to connect to services hosted on the cluster such as web UIs or REST APIs.
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articles/spring-apps/concept-manage-monitor-app-spring-boot-actuator.md

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You can now go back to the app overview pane and wait until the Provisioning Status changes to "Succeeded". There will be more than one running instance.
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> [!Note]
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> [!NOTE]
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> Once you expose the app to public, these actuator endpoints are exposed to public as well. You can hide all endpoints by deleting the environment variables `management.endpoints.web.exposure.include`, and set `management.endpoints.web.exposure.exclude=*`
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## View the actuator endpoint to view application information

articles/spring-apps/how-to-appdynamics-java-agent-monitor.md

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## Next steps
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* [Use Application Insights Java In-Process Agent in Azure Spring Apps](./how-to-application-insights.md)
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[Use Application Insights Java In-Process Agent in Azure Spring Apps](./how-to-application-insights.md)

articles/spring-apps/how-to-dynatrace-one-agent-monitor.md

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## Next steps
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* [Use Application Insights Java In-Process Agent in Azure Spring Apps](how-to-application-insights.md)
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[Use Application Insights Java In-Process Agent in Azure Spring Apps](how-to-application-insights.md)

articles/spring-apps/how-to-launch-from-source.md

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## Next steps
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* [Quickstart: Monitoring Azure Spring Apps with logs, metrics, and tracing](./quickstart-logs-metrics-tracing.md)
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[Quickstart: Monitoring Azure Spring Apps with logs, metrics, and tracing](quickstart-logs-metrics-tracing.md)
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More samples are available on GitHub: [Azure Spring Apps Samples](https://github.com/Azure-Samples/azure-spring-apps-samples).

articles/spring-apps/how-to-new-relic-monitor.md

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## Next steps
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* [Use Application Insights Java In-Process Agent in Azure Spring Apps](how-to-application-insights.md)
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[Use Application Insights Java In-Process Agent in Azure Spring Apps](how-to-application-insights.md)

articles/spring-apps/how-to-prepare-app-deployment.md

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This article explains the dependencies, configuration, and code that are required to run a .NET Core Steeltoe app in Azure Spring Apps. For information about how to deploy an application to Azure Spring Apps, see [Deploy your first Spring Boot app in Azure Spring Apps](./quickstart.md).
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>[!Note]
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> [!NOTE]
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> Steeltoe support for Azure Spring Apps is currently offered as a public preview. Public preview offerings allow customers to experiment with new features prior to their official release. Public preview features and services are not meant for production use. For more information about support during previews, see the [FAQ](https://azure.microsoft.com/support/faq/) or file a [Support request](../azure-portal/supportability/how-to-create-azure-support-request.md).
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## Supported versions

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