Agent Decomposition & Workflow Design — AI-500 Practice Question
A representative Microsoft Multi-Agent AI Solutions Expert (AI-500) exam question on Agent Decomposition & Workflow Design. Work through it below, then read why each option is right or wrong.
This question is part of the free Microsoft Multi-Agent AI Solutions Expert practice test.
Short answer
The correct answer is C. Decompose into three specialized agents: a Route Optimizer agent, a Risk Assessment agent, and a Dispute Handler agent, each with defined tool access and escalation triggers to human operators for high-stakes decisions..
Effective decomposition assigns each agent a focused responsibility (routing, risk assessment, dispute handling) with appropriate tool access and clear escalation criteria. This enables parallel execution, reduces cognitive load per agent, and creates explicit human control points for high-stakes decisions. A monolithic agent loses the benefits of specialization and parallelism. Full tool access without specialization creates security and accountability risks. Zone-based agents duplicate logic and reduce human oversight for critical disputes.
The Question
A logistics company is building a multi-agent system to manage package delivery optimization. The system must evaluate delivery routes, identify high-risk deliveries that require signature verification, and escalate customer disputes to human support. Which decomposition best separates agent responsibilities while maintaining clear human control boundaries?
Why C is correct
Effective decomposition assigns each agent a focused responsibility (routing, risk assessment, dispute handling) with appropriate tool access and clear escalation criteria. This enables parallel execution, reduces cognitive load per agent, and creates explicit human control points for high-stakes decisions. A monolithic agent loses the benefits of specialization and parallelism. Full tool access without specialization creates security and accountability risks. Zone-based agents duplicate logic and reduce human oversight for critical disputes.
Why the other options are wrong
Option A does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (C) is the only one that fully meets every constraint stated in the question.
Option B does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (C) is the only one that fully meets every constraint stated in the question.
Option D does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (C) is the only one that fully meets every constraint stated in the question.
Key idea: Agent Decomposition & Workflow Design
Effective decomposition assigns each agent a focused responsibility (routing, risk assessment, dispute handling) with appropriate tool access and clear escalation criteria. This enables parallel execution, reduces cognitive load per agent, and creates explicit human control points for high-stakes decisions. A monolithic agent loses the benefits of specialization and parallelism. Full tool access without specialization creates security and accountability risks. Zone-based agents duplicate logic and reduce human oversight for critical disputes. On the AI-500 exam, questions in the "Architect multi-agent solutions" domain test whether you can map a scenario's constraints to the right choice. Read the requirement carefully, eliminate options that violate any single constraint, and pick the one that satisfies all of them with the least operational overhead.
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