Microsoft Azure AI Engineer Associate AI-102 Practice Question

Your internal support tool must run this workflow: classify messages with GPT-3.5-turbo, branch to a fine-tuned GPT-4 reply generator only when the classifier's confidence ≥ 0.7, and expose the whole process as a single HTTPS endpoint that you can later containerize for Azure Container Apps with step-level tracing. Which Azure capability lets you orchestrate this multi-model flow with minimal custom code?

  • Create a prompt flow in Azure AI Studio (or Azure AI Foundry) and deploy the flow as a managed endpoint.

  • Build the workflow in Azure Logic Apps Standard using the Azure OpenAI connector for both model calls.

  • Implement the pattern with an Azure Durable Function that uses fan-out/fan-in orchestration between two HTTP-triggered functions.

  • Publish both model endpoints to Azure Event Grid and use event subscriptions with advanced filters to control routing.

Microsoft Azure AI Engineer Associate AI-102
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