Microsoft Azure AI Engineer Associate AI-102 Practice Question
You are building an Azure AI solution that uses Python Autogen to coordinate three specialized agents created with Semantic Kernel: a "Research" agent that invokes a web-search skill, a "Translate" agent that calls a language-translation function, and a "Summarize" agent that invokes a report-writing skill. The agents must collaborate in a single conversation where the output from one agent becomes the input for the next without additional orchestration code.
Which Autogen component should you use to broker this multi-turn conversation among the agents?
Autogen's GroupChatManager supervises a conversation that involves more than two agents. It receives every message posted to the associated GroupChat object, determines whose turn it is, and dispatches the message to the correct agent. Because the manager handles sequencing and context sharing, you do not have to write manual routing code.
GroupChat alone only stores the shared message history; it does not decide which agent should speak next.
AssistantAgent and UserProxyAgent represent single participants and cannot coordinate multiple other agents.
OpenAIWrapper merely abstracts the model endpoint and provides no orchestration logic.
Therefore, GroupChatManager is the correct choice for autonomous multi-agent coordination.
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Microsoft Azure AI Engineer Associate AI-102
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