AI-102 Implement an agentic solution Practice Question
You are using Microsoft Copilot Studio to create an agent that handles customer support. The agent needs to understand the user's intent from free-text input. Which feature should you use to map user utterances to specific topics?
⚠ Common exam trap
Candidates often confuse entity extraction (Option C) with intent recognition, assuming that extracting key phrases is sufficient to understand the user's intent, whereas in Copilot Studio, trigger phrases are the dedicated feature for mapping utterances to topics.
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
✓
Define trigger phrases for each topic
In Microsoft Copilot Studio, trigger phrases are the primary mechanism for mapping user utterances to specific topics. When a user types a free-text input, the agent's natural language understanding (NLU) engine compares the input against the defined trigger phrases for each topic. The topic with the highest confidence score based on semantic similarity is triggered, enabling intent recognition without requiring exact keyword matches.
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 variables to capture user input
Why it's wrong here
Variables store data, not map intent.
- ✗
Add actions to process the input
Why it's wrong here
Actions perform tasks, not map utterances.
- ✗
Create custom entities to extract key phrases
Why it's wrong here
Entities extract details, not intent.
- ✓
Define trigger phrases for each topic
Why this is correct
Trigger phrases match user utterances to topics.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-102 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-102 exam.