AI-102 Agent Handoff Practice Question
You are developing an agentic solution that uses multiple AI agents to collaborate on a complex task. To ensure the agents work together effectively, you need to define a clear handoff protocol. Which approach should you use in Azure AI Agent Service to enable agent-to-agent communication?
⚠ Common exam trap
Candidates often confuse shared memory or sequential orchestration with a proper handoff protocol, not realizing that Azure AI Agent Service's Agent Handoff feature is specifically designed for dynamic, bidirectional agent-to-agent communication without custom development.
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
✓
Use Agent Handoff feature
Azure AI Agent Service provides a built-in Agent Handoff feature that enables seamless agent-to-agent communication by defining a structured handoff protocol. This feature allows agents to pass tasks and context to each other without custom code, ensuring efficient collaboration in multi-agent systems.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Configure a shared memory store
Why it's wrong here
Shared memory is for state persistence, not for handoff protocols.
- ✗
Implement a custom API for agent communication
Why it's wrong here
While possible, it requires extra development and is not the recommended approach.
- ✗
Orchestrate agents sequentially using a script
Why it's wrong here
Sequential orchestration lacks dynamic handoff capabilities.
- ✓
Use Agent Handoff feature
Why this is correct
Agent Handoff is designed for seamless context transfer between agents.
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