Microsoft Azure AI Engineer Associate AI-102 Practice Question

You are designing a conversational solution in Azure AI Studio. The requirement is to let users ask for a travel itinerary, after which the solution must (1) obtain flights, (2) book a hotel, and (3) create a calendar event-calling three different REST-based internal APIs in the correct sequence without any further user prompts. Why is creating a custom agent the most appropriate approach?

  • Durable Functions would be preferable because agents cannot reliably persist conversational state between tool calls.

  • A single chat-completion request with OpenAI function calling can perform all three API calls in one response, so adding an agent adds unnecessary overhead.

  • Logic Apps Standard workflows already include AI model steps and native HTTP actions, so an agent is only needed when you have non-HTTP services.

  • Agents provide built-in planning and tool orchestration, enabling autonomous calls to multiple APIs in sequence for a single user goal.

Microsoft Azure AI Engineer Associate AI-102
Implement an agentic solution
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