Microsoft Azure AI Engineer Associate AI-102 Practice Question
You need to build a custom conversational agent using Azure AI Studio. The agent must 1) use an Azure OpenAI GPT-4 deployment for language generation, 2) perform retrieval-augmented generation over corporate PDFs stored in Blob storage, and 3) keep chat history between turns. Before you start creating the agent in Azure AI Studio, which set of Azure resources must already exist in the same subscription so that you can satisfy all three requirements with built-in connectors only?
Azure Storage account, Azure AI Search service, and Azure Cosmos DB account
Azure OpenAI resource with a GPT-4 deployment, Azure Storage account, and Azure AI Search service
Azure OpenAI resource only (the agent service provisions storage and search automatically)
Azure OpenAI resource, Azure Cosmos DB account, and an App Service plan
Building a solution in Azure AI Studio often involves orchestrating several other Azure resources, which must be provisioned first. Language generation requires an Azure OpenAI resource that contains a GPT-4 model deployment. Retrieval-augmented generation over unstructured files is enabled by an Azure AI Search service that indexes the documents; the search indexer pulls the PDFs from an Azure Blob Storage account that you supply when you configure the data connection. Conversation memory is stored automatically by the service in a linked Azure Cosmos DB account when you deploy the agent as a web app. Because the resource for chat history is created for you upon deployment, it does not have to exist beforehand, whereas the OpenAI, Blob Storage, and AI Search services do. The other answer choices omit at least one mandatory resource or include services that are optional for this scenario.
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Why is Azure AI Search necessary for retrieval-augmented generation?
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How does Azure Blob Storage integrate with Azure AI Search for this solution?
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Microsoft Azure AI Engineer Associate AI-102
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