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Implement Generative AI And Agentic SolutionshardMultiple ChoiceObjective-mapped

AI-103 Implement Generative AI And Agentic Solutions Practice Question

You are orchestrating a multi-agent system in Microsoft Foundry where Agent A generates code and Agent B reviews it. Agent B frequently gets stuck in a loop trying to optimize minor syntax formatting. How should you design the agentic workflow to prevent this infinite refinement loop?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Configure a maximum turn counter and state transition condition in the orchestrator workflow to terminate the loop after a set threshold.

Establishing a strict iteration limit or state machine check within the orchestrator prevents agents from looping indefinitely.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Disable function calling for Agent B so it can only output text responses.

    Why it's wrong here

    Disabling function calling does not address the logic loop between code generation and review.

  • Configure a maximum turn counter and state transition condition in the orchestrator workflow to terminate the loop after a set threshold.

    Why this is correct

    Explicit termination conditions and state management are essential pattern controls in multi-agent orchestration.

  • Increase the model's presence penalty so Agent B is forced to generate novel review comments.

    Why it's wrong here

    Presence penalty encourages new topics but does not stop agent loops or manage workflow termination.

  • Use a smaller model for Agent B to reduce the quality of its reviews.

    Why it's wrong here

    Degrading model quality does not solve workflow control issues.

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Last reviewed August 2026 · checked against the official Microsoft exam blueprint

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