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articles/search/search-get-started-bicep.md

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@@ -23,7 +23,7 @@ This article walks you through the process for using a Bicep file to deploy an A
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Only those properties included in the template are used in the deployment. If more customization is required, such as [setting up network security](search-security-overview.md#network-security), you can update the service as a post-deployment task. To customize an existing service with the fewest steps, use [Azure CLI](search-manage-azure-cli.md) or [Azure PowerShell](search-manage-powershell.md). If you're evaluating preview features, use the [Management REST API](search-manage-rest.md).
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> [!TIP]
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> For an alternative Bicep template that deploys Azure AI Search with a pre-configured indexer to Cosmos DB for NoSQL, see [Bicep deployment of Azure AI Search](https://github.com/Azure-Samples/azure-search-deployment-template). There's no bicep template support for Azure AI Search data plane operations like creating an index, but you can add a module that calls REST APIs. The template in this sample calls a module that creates an indexer, index, and data source. The indexer is configured with a schedule that refreshes from Cosmos DB on a 5-minute interval.
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> For an alternative Bicep template that deploys Azure AI Search with a pre-configured indexer to Cosmos DB for NoSQL, see [Bicep deployment of Azure AI Search](https://github.com/Azure-Samples/azure-search-deployment-template). There's no bicep template support for Azure AI Search data plane operations like creating an index, but you can add a module that calls REST APIs. The sample includes a module that creates an index, data source connector, and an indexer that refreshes from Cosmos DB at 5-minute intervals.
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## Prerequisites
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