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articles/azure-functions/functions-deployment-technologies.md

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You can use an external package URL to reference a remote package (.zip) file that contains your function app. The file is downloaded from the provided URL, and the app runs in [Run From Package](run-functions-from-deployment-package.md) mode.
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>__How to use it:__ Add [`WEBSITE_RUN_FROM_PACKAGE`](functions-app-settings.md#website_run_from_package) to your application settings. The value of this setting should be a URL (the location of the specific package file you want to run). You can add settings either [in the portal](functions-how-to-use-azure-function-app-settings.md#settings) or [by using the Azure CLI](/cli/azure/functionapp/config/appsettings#az_functionapp_config_appsettings_set).
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>__How to use it:__ Add [`WEBSITE_RUN_FROM_PACKAGE`](functions-app-settings.md#website_run_from_package) to your application settings. The value of this setting should be a URL (the location of the specific package file you want to run). You can add settings either [in the portal](functions-how-to-use-azure-function-app-settings.md#settings) or [by using the Azure CLI](/cli/azure/functionapp/config/appsettings#az-functionapp-config-appsettings-set).
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>
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>If you use Azure Blob storage, use a private container with a [shared access signature (SAS)](../vs-azure-tools-storage-manage-with-storage-explorer.md#generate-a-sas-in-storage-explorer) to give Functions access to the package. Any time the application restarts, it fetches a copy of the content. Your reference must be valid for the lifetime of the application.
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articles/azure-functions/storage-considerations.md

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_This functionality is current only available when running on Linux._
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You can mount existing Azure Files shares to your Linux function apps. By mounting a share to your Linux function app, you can leverage existing machine learning models or other data in your functions. You can use the [`az webapp config storage-account add`](/cli/azure/webapp/config/storage-account#az_webapp_config_storage_account_add) command to mount an existing share to your Linux function app.
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You can mount existing Azure Files shares to your Linux function apps. By mounting a share to your Linux function app, you can leverage existing machine learning models or other data in your functions. You can use the [`az webapp config storage-account add`](/cli/azure/webapp/config/storage-account#az-webapp-config-storage-account-add) command to mount an existing share to your Linux function app.
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In this command, `share-name` is the name of the existing Azure Files share, and `custom-id` can be any string that uniquely defines the share when mounted to the function app. Also, `mount-path` is the path from which the share is accessed in your function app. `mount-path` must be in the format `/dir-name`, and it can't start with `/home`.
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articles/azure-resource-manager/templates/deploy-cli.md

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You can target your Azure deployment template to a resource group, subscription, management group, or tenant. Depending on the scope of the deployment, you use different commands.
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* To deploy to a **resource group**, use [az deployment group create](/cli/azure/deployment/group#az_deployment_group_create):
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* To deploy to a **resource group**, use [az deployment group create](/cli/azure/deployment/group#az-deployment-group-create):
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```azurecli-interactive
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az deployment group create --resource-group <resource-group-name> --template-file <path-to-template>
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```
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* To deploy to a **subscription**, use [az deployment sub create](/cli/azure/deployment/sub#az_deployment_sub_create):
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* To deploy to a **subscription**, use [az deployment sub create](/cli/azure/deployment/sub#az-deployment-sub-create):
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```azurecli-interactive
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az deployment sub create --location <location> --template-file <path-to-template>
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```
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For more information about subscription level deployments, see [Create resource groups and resources at the subscription level](deploy-to-subscription.md).
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* To deploy to a **management group**, use [az deployment mg create](/cli/azure/deployment/mg#az_deployment_mg_create):
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* To deploy to a **management group**, use [az deployment mg create](/cli/azure/deployment/mg#az-deployment-mg-create):
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```azurecli-interactive
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az deployment mg create --location <location> --template-file <path-to-template>
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```
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For more information about management group level deployments, see [Create resources at the management group level](deploy-to-management-group.md).
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* To deploy to a **tenant**, use [az deployment tenant create](/cli/azure/deployment/tenant#az_deployment_tenant_create):
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* To deploy to a **tenant**, use [az deployment tenant create](/cli/azure/deployment/tenant#az-deployment-tenant-create):
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```azurecli-interactive
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az deployment tenant create --location <location> --template-file <path-to-template>

articles/azure-sql/database/service-tier-hyperscale.md

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## Create a Hyperscale database
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A Hyperscale database can be created using the [Azure portal](https://portal.azure.com), [T-SQL](/sql/t-sql/statements/create-database-transact-sql), [PowerShell](/powershell/module/azurerm.sql/new-azurermsqldatabase), or [CLI](/cli/azure/sql/db#az_sql_db_create). Hyperscale databases are available only using the [vCore-based purchasing model](service-tiers-vcore.md).
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A Hyperscale database can be created using the [Azure portal](https://portal.azure.com), [T-SQL](/sql/t-sql/statements/create-database-transact-sql), [PowerShell](/powershell/module/azurerm.sql/new-azurermsqldatabase), or [CLI](/cli/azure/sql/db#az-sql-db-create). Hyperscale databases are available only using the [vCore-based purchasing model](service-tiers-vcore.md).
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The following T-SQL command creates a Hyperscale database. You must specify both the edition and service objective in the `CREATE DATABASE` statement. Refer to the [resource limits](./resource-limits-vcore-single-databases.md#hyperscale---provisioned-compute---gen4) for a list of valid service objectives.
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## Upgrade existing database to Hyperscale
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You can move your existing databases in Azure SQL Database to Hyperscale using the [Azure portal](https://portal.azure.com), [T-SQL](/sql/t-sql/statements/alter-database-transact-sql), [PowerShell](/powershell/module/azurerm.sql/set-azurermsqldatabase), or [CLI](/cli/azure/sql/db#az_sql_db_update). At this time, this is a one-way migration. You can't move databases from Hyperscale to another service tier, other than by exporting and importing data. For proofs of concept (POCs), we recommend making a copy of your production databases, and migrating the copy to Hyperscale. Migrating an existing database in Azure SQL Database to the Hyperscale tier is a size of data operation.
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You can move your existing databases in Azure SQL Database to Hyperscale using the [Azure portal](https://portal.azure.com), [T-SQL](/sql/t-sql/statements/alter-database-transact-sql), [PowerShell](/powershell/module/azurerm.sql/set-azurermsqldatabase), or [CLI](/cli/azure/sql/db#az-sql-db-update). At this time, this is a one-way migration. You can't move databases from Hyperscale to another service tier, other than by exporting and importing data. For proofs of concept (POCs), we recommend making a copy of your production databases, and migrating the copy to Hyperscale. Migrating an existing database in Azure SQL Database to the Hyperscale tier is a size of data operation.
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The following T-SQL command moves a database into the Hyperscale service tier. You must specify both the edition and service objective in the `ALTER DATABASE` statement.
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| When changing Azure SQL Database service tier to Hyperscale, the operation fails if the database has any data files larger than 1 TB | In some cases, it may be possible to work around this issue by [shrinking](file-space-manage.md#shrinking-data-files) the large files to be less than 1 TB before attempting to change the service tier to Hyperscale. Use the following query to determine the current size of database files. `SELECT file_id, name AS file_name, size * 8. / 1024 / 1024 AS file_size_GB FROM sys.database_files WHERE type_desc = 'ROWS'`;|
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| SQL Managed Instance | Azure SQL Managed Instance isn't currently supported with Hyperscale databases. |
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| Elastic Pools | Elastic Pools aren't currently supported with Hyperscale.|
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| Migration to Hyperscale is currently a one-way operation | Once a database is migrated to Hyperscale, it can't be migrated directly to a non-Hyperscale service tier. At present, the only way to migrate a database from Hyperscale to non-Hyperscale is to export/import using a bacpac file or other data movement technologies (Bulk Copy, Azure Data Factory, Azure Databricks, SSIS, etc.) Bacpac export/import from Azure portal, from PowerShell using [New-AzSqlDatabaseExport](/powershell/module/az.sql/new-azsqldatabaseexport) or [New-AzSqlDatabaseImport](/powershell/module/az.sql/new-azsqldatabaseimport), from Azure CLI using [az sql db export](/cli/azure/sql/db#az_sql_db_export) and [az sql db import](/cli/azure/sql/db#az_sql_db_import), and from [REST API](/rest/api/sql/) is not supported. Bacpac import/export for smaller Hyperscale databases (up to 200 GB) is supported using SSMS and [SqlPackage](/sql/tools/sqlpackage) version 18.4 and later. For larger databases, bacpac export/import may take a long time, and may fail for various reasons.|
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| Migration to Hyperscale is currently a one-way operation | Once a database is migrated to Hyperscale, it can't be migrated directly to a non-Hyperscale service tier. At present, the only way to migrate a database from Hyperscale to non-Hyperscale is to export/import using a bacpac file or other data movement technologies (Bulk Copy, Azure Data Factory, Azure Databricks, SSIS, etc.) Bacpac export/import from Azure portal, from PowerShell using [New-AzSqlDatabaseExport](/powershell/module/az.sql/new-azsqldatabaseexport) or [New-AzSqlDatabaseImport](/powershell/module/az.sql/new-azsqldatabaseimport), from Azure CLI using [az sql db export](/cli/azure/sql/db#az-sql-db-export) and [az sql db import](/cli/azure/sql/db#az-sql-db-import), and from [REST API](/rest/api/sql/) is not supported. Bacpac import/export for smaller Hyperscale databases (up to 200 GB) is supported using SSMS and [SqlPackage](/sql/tools/sqlpackage) version 18.4 and later. For larger databases, bacpac export/import may take a long time, and may fail for various reasons.|
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| Migration of databases with In-Memory OLTP objects | Hyperscale supports a subset of In-Memory OLTP objects, including memory-optimized table types, table variables, and natively compiled modules. However, when any kind of In-Memory OLTP objects are present in the database being migrated, migration from Premium and Business Critical service tiers to Hyperscale is not supported. To migrate such a database to Hyperscale, all In-Memory OLTP objects and their dependencies must be dropped. After the database is migrated, these objects can be recreated. Durable and non-durable memory-optimized tables are not currently supported in Hyperscale, and must be changed to disk tables.|
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| Geo-replication | [Geo-replication](active-geo-replication-overview.md) and [auto-failover groups](auto-failover-group-overview.md) on Hyperscale is now in public preview. |
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| Intelligent Database Features | With the exception of the "Force Plan" option, all other Automatic Tuning options aren't yet supported on Hyperscale: options may appear to be enabled, but there won't be any recommendations or actions made. |

articles/backup/backup-azure-delete-vault.md

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[--yes]
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```
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For more information, see this [article](/cli/azure/backup/protection#az_backup_protection_disable).
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For more information, see this [article](/cli/azure/backup/protection#az-backup-protection-disable).
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- Delete an existing Recovery Services vault:
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articles/cost-management-billing/understand/download-azure-daily-usage.md

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Then use the [az costmanagement export](/cli/azure/costmanagement/export) commands to export usage data to an Azure storage account. You can download the data from there.
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1. Create a resource group or use an existing resource group. To create a resource group, run the [az group create](/cli/azure/group#az_group_create) command:
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1. Create a resource group or use an existing resource group. To create a resource group, run the [az group create](/cli/azure/group#az-group-create) command:
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1. Create a storage account to receive the exports or use an existing storage account. To create an account, use the [az storage account create](/cli/azure/storage/account#az-storage-account-create) command:
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1. Run the [az costmanagement export create](/cli/azure/costmanagement/export#az-costmanagement-export-create) command to create the export:
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```azurecli
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articles/machine-learning/concept-compute-target.md

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> [!NOTE]
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> Azure Machine Learning doesn't support all VM sizes that Azure Compute supports. To list the available VM sizes, use one of the following methods:
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> * [REST API](https://github.com/Azure/azure-rest-api-specs/blob/master/specification/machinelearningservices/resource-manager/Microsoft.MachineLearningServices/stable/2020-08-01/examples/ListVMSizesResult.json)
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> * [Python SDK](/python/api/azureml-core/azureml.core.compute.amlcompute.amlcompute#supported-vmsizes-workspace--location-none-)
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> * [Python SDK](/python/api/azureml-core/azureml.core.compute.amlcompute.amlcompute#azureml-core-compute-amlcompute-amlcompute-supported-vmsizes)
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articles/storage/common/azure-defender-storage-configure.md

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### [Azure CLI](#tab/azure-cli)
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To enable Microsoft Defender for Storage for a storage account via Azure CLI, call the [az security atp storage update](/cli/azure/security/atp/storage#az-security-atp-storage-update) command. Remember to replace values in angle brackets with your own values:
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