Crucial Exams

Microsoft Azure AI Engineer Associate AI-102 Practice Question

Your team is prototyping a development assistant that uses three specialized Azure AI Foundry agents (Researcher, Coder, Tester). At run time the model must decide which agent to call next and repeat the Researcher-Coder-Tester cycle until the Tester reports success or a maximum iteration limit is reached. Project managers need to inject clarifying chat messages at any point in the conversation, and the workflow should answer them before continuing without rebuilding the plan. Within Semantic Kernel, which mechanism provides this built-in iterative orchestration and human-in-the-loop support without writing external workflow code?

  • Register the three agent functions and enable FunctionChoiceBehavior.Auto so the kernel's built-in function-calling loop decides which agent to invoke until completion.

  • Implement the workflow in Azure Logic Apps with sequential actions and a Do-Until loop.

  • Create a SequentialPlanner plan that chains the agent functions inside a loop conditioned on the Tester result.

  • Publish each agent as an Azure Function and pass messages between them with Service Bus topics and subscriptions.

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