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MCP Integration & Legacy Systems — AI-500 Practice Question

A representative Microsoft Multi-Agent AI Solutions Expert (AI-500) exam question on MCP Integration & Legacy Systems. 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 A. Implement a Model Context Protocol (MCP) server that wraps the SOAP API, exposes it as a standard MCP tool, and use Azure API Management to enforce per-tool role-based access control with audit logging..

MCP is designed for standardizing tool integration across systems and supports legacy-system wrapping. Azure API Management adds governance, audit logging, and dynamic permission control without redeployment—critical for compliance. Rewriting legacy code violates the legacy-system compatibility constraint and adds maintenance burden. Static JSON files require redeployment and don't support dynamic governance. Direct Logic Apps calls lack audit logging and governance. The correct answer directly implements MCP-based tool abstraction with Azure API Management governance, as documented in official multi-agent architecture patterns.

The Question

A nonprofit relief organization operates a multi-agent system that must integrate with legacy donation-tracking software (SOAP-based API from 2008), modern cloud databases, and external partner APIs. The organization requires strict governance: every tool invocation must be logged for audit compliance, and tool permissions must be revoked or modified without redeploying agents. Which design pattern best satisfies legacy-system compatibility and governance control?

AImplement a Model Context Protocol (MCP) server that wraps the SOAP API, exposes it as a standard MCP tool, and use Azure API Management to enforce per-tool role-based access control with audit logging.Correct
BUse Azure Logic Apps to call the legacy API directly from each agent, bypassing any abstraction layer to minimize latency.
CStore all tool definitions in a static JSON configuration file embedded in each agent container, and manually update containers whenever permissions change.
DRewrite the legacy SOAP API in Node.js and host it in Azure Container Instances, then connect agents directly without an intermediary layer.

Why A is correct

MCP is designed for standardizing tool integration across systems and supports legacy-system wrapping. Azure API Management adds governance, audit logging, and dynamic permission control without redeployment—critical for compliance. Rewriting legacy code violates the legacy-system compatibility constraint and adds maintenance burden. Static JSON files require redeployment and don't support dynamic governance. Direct Logic Apps calls lack audit logging and governance. The correct answer directly implements MCP-based tool abstraction with Azure API Management governance, as documented in official multi-agent architecture patterns.

Why the other options are wrong

Option B: Use Azure Logic Apps to call the legacy API directly from each agent, bypassing any abstraction layer to minimize latency.

Option B does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (A) is the only one that fully meets every constraint stated in the question.

Option C: Store all tool definitions in a static JSON configuration file embedded in each agent container, and manually update containers whenever permissions change.

Option C does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (A) is the only one that fully meets every constraint stated in the question.

Option D: Rewrite the legacy SOAP API in Node.js and host it in Azure Container Instances, then connect agents directly without an intermediary layer.

Option D does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (A) is the only one that fully meets every constraint stated in the question.

Key idea: MCP Integration & Legacy Systems

MCP is designed for standardizing tool integration across systems and supports legacy-system wrapping. Azure API Management adds governance, audit logging, and dynamic permission control without redeployment—critical for compliance. Rewriting legacy code violates the legacy-system compatibility constraint and adds maintenance burden. Static JSON files require redeployment and don't support dynamic governance. Direct Logic Apps calls lack audit logging and governance. The correct answer directly implements MCP-based tool abstraction with Azure API Management governance, as documented in official multi-agent architecture patterns. On the AI-500 exam, questions in the "Develop multi-agent solutions in Azure" 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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