You manage an Azure AI Foundry project. You plan to create a vector index for a RAG solution. You need to build the index remotely by using a script. Which two data sources can you use? Each correct answer presents a complete solution. (Choose two.) NOTE: Each correct selection is worth one point.

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A. Azure AI Search Azure AI Search can be used as a data source when programmatically building a remote vector index via script, allowing an existing search index to be referenced and embedded. C. Local files and folders Local files and folders are supported as a data source for remote script-based vector index builds in Azure AI Foundry, where the SDK uploads and processes the files during index creation.

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B. GitHub repositories GitHub repositories are not a supported data source for building vector indexes remotely via script in Azure AI Foundry.

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D. OneLake in Microsoft Fabric OneLake in Microsoft Fabric is not a supported data source for remote script-based vector index creation in Azure AI Foundry.

You manage an Azure AI Foundry project. You plan to create a vector index for a RAG solution. You need to build the index remotely by using a script. Which two data sources can you use? Each correct…

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