AI-102 Implement an agentic solution Practice Question
You are building an agent using Microsoft Copilot Studio to handle customer returns. The agent must collect the order ID, reason for return, and then provide a return shipping label. The process requires the user to provide information step-by-step. Which type of conversation flow should you implement?
⚠ Common exam trap
The trap here is that candidates might confuse the flexibility of generative answers or adaptive cards with the structured, sequential data collection needed for transactional workflows, overlooking that Copilot Studio's Question nodes are purpose-built for step-by-step input gathering.
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 multiple question nodes in a sequential flow.
Microsoft Copilot Studio uses 'Question' nodes to collect user input one piece at a time in a sequential flow, which matches the step-by-step requirement for order ID, reason, and shipping label. This approach ensures each piece of data is validated before moving to the next, maintaining a guided conversation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use an adaptive card to collect all inputs in one step.
Why it's wrong here
An adaptive card presents all inputs simultaneously, contradicting the step-by-step collection the process requires. It is tempting because cards give a tidy single-form experience, and an adaptive card would be correct when all values are known and can be submitted together.
- ✓
Use multiple question nodes in a sequential flow.
Why this is correct
Sequential question nodes present one prompt at a time and wait for the user's answer before advancing, which matches the requirement to collect order ID and return reason step-by-step. Each node captures a single value, ensuring ordered data collection before the shipping label is generated.
- ✗
Use a single question node to collect all information at once.
Why it's wrong here
A single question node captures one response, so it cannot gather the order ID and reason as separate step-by-step inputs the process demands. It is tempting because it shortens the dialogue, and it would be correct for a simple agent collecting one free-text value.
- ✗
Use a generative answers node to parse the user's intent.
Why it's wrong here
Generative answers nodes retrieve and compose responses from knowledge sources; they do not enforce sequential slot-filling of order ID then reason. It is tempting because it handles free-form phrasing, and it would be correct for an FAQ agent answering questions from a knowledge base.
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