DP-100 Question #551: Real Exam Question with Answer & Explanation

Question

You manage an Azure AI Foundry project. You plan to develop a RAG solution from a set of PDF files. To achieve this, you plan to create a vector index from the data. You need to select the location of the data you plan to index. Which two data sources can you use? Each correct answer presents a complete solution. (Choose two.) NOTE: Each correct selection is worth one point.

Options

• AAzure Blob Storage
• BData in Azure AI Foundry
• COneLake in Microsoft Fabric
• DAzure Data Lake Storage Gen2

Explanation

Azure AI Foundry vector indexes for RAG solutions support Azure Blob Storage and data already registered within Azure AI Foundry as input data sources.

Common mistakes.

• C. OneLake in Microsoft Fabric is not a supported input data source for vector index creation in the Azure AI Foundry vector index workflow.
• D. Azure Data Lake Storage Gen2 is not listed as a supported data source for the Azure AI Foundry vector index creation wizard or SDK flow.

Concept tested. Azure AI Foundry vector index supported data sources for RAG

Reference. https://learn.microsoft.com/en-us/azure/ai-studio/how-to/index-add

No community discussion yet for this question.