AI-102 Implement an agentic solution Practice Question
A company wants to build a customer support agent using Microsoft Copilot Studio. The agent needs to understand natural language and handle complex queries beyond simple keyword matching. The agent should be able to escalate to a human agent when it cannot resolve the issue. Which feature should the agent use to understand natural language?
⚠ Common exam trap
Candidates often confuse entity extraction (Option D) or topic triggers (Option C) with true natural language understanding, not realizing that generative answers powered by LLMs are required for handling complex, unconstrained queries beyond simple keyword matching.
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
✓
Enable generative answers and configure a knowledge source.
Generative answers in Microsoft Copilot Studio use large language models (LLMs) to interpret natural language queries and generate responses based on configured knowledge sources (e.g., SharePoint, websites, or custom data). This enables the agent to handle complex, conversational queries beyond simple keyword matching, and it can escalate to a human agent when confidence is low or the issue cannot be resolved.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Create a Power Automate flow to process queries.
Why it's wrong here
Power Automate flows are for actions, not understanding natural language.
- ✓
Enable generative answers and configure a knowledge source.
Why this is correct
Generative answers use AI to understand natural language and provide responses from knowledge sources.
- ✗
Create topics with trigger phrases.
Why it's wrong here
Topics with trigger phrases use keyword matching, not natural language understanding.
- ✗
Use entities to extract key information.
Why it's wrong here
Entities extract data but do not understand natural language.
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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.