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articles/azure-functions/durable/durable-functions-packages.md

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@@ -59,7 +59,7 @@ Users of [Extension Bundles](../functions-bindings-register.md#extension-bundles
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## GitHub repositories
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Durable Functions is developed in the open as OSS. Users are welcome to contribute to it's development, request features, and to report issues in the appropiate repositories:
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Durable Functions is developed in the open as OSS. Users are welcome to contribute to it's development, request features, and to report issues in the appropriate repositories:
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* [azure-functions-durable-extension](https://github.com/Azure/azure-functions-durable-extension): For .NET in-process and the Azure Storage storage provider.
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* [durabletask-dotnet](https://github.com/microsoft/durabletask-dotnet): For .NET isolated.

articles/container-apps/microservices-dapr-azure-resource-manager.md

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> - Create an Azure Blob Storage for use as a Dapr state store
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> - Deploy a Container Apps environment to host container apps
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> - Deploy two dapr-enabled container apps: one that produces orders and one that consumes orders and stores them
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> - Assign a user-assigned identity to a container app and supply it with the appropiate role assignment to authenticate to the Dapr state store
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> - Assign a user-assigned identity to a container app and supply it with the appropriate role assignment to authenticate to the Dapr state store
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> - Verify the interaction between the two microservices.
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With Azure Container Apps, you get a [fully managed version of the Dapr APIs](./dapr-overview.md) when building microservices. When you use Dapr in Azure Container Apps, you can enable sidecars to run next to your microservices that provide a rich set of capabilities.

articles/hdinsight/interactive-query/llap-schedule-based-autoscale-best-practices.md

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- Query completes successfully without any impact.
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> [!NOTE]
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> It is recommended to plan approprite down time with the users during the scale down schedules.
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> [!NOTE]
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> It is recommended to plan appropriate down time with the users during the scale down schedules.
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<b>2. What happens to the running Spark jobs when using Hive Warehouse Connector to execute queries in the LLAP Cluster with Auto scale enabled?</b>

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