AI-102 Practice Question: Implement natural language processing solutions
A company is building a chatbot using Azure AI Language. The chatbot must understand user intents and extract entities like dates and locations. The solution should minimize manual labeling effort. Which feature should the team use?
⚠ Common exam trap
Azure often tests the distinction between prebuilt intents and prebuilt entity components, leading candidates to mistakenly choose prebuilt intents when the question emphasizes entity extraction, not intent recognition.
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
✓
CLU prebuilt entity components
CLU prebuilt entity components provide ready-made entity extraction for common types like dates and locations without requiring manual labeling. This minimizes manual effort while still allowing the chatbot to understand user intents and extract entities, as the prebuilt components are domain-agnostic and cover a wide range of entity types out of the box.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Conversational Language Understanding (CLU) Orchestration Workflow
Why it's wrong here
Orchestration Workflow routes to different projects but does not extract entities.
- ✗
CLU prebuilt intents
Why it's wrong here
Prebuilt intents cover common intents, not entities.
- ✓
CLU prebuilt entity components
Why this is correct
Prebuilt entity components recognize common entities like dates and locations without manual labeling.
- ✗
Azure AI QnA Maker
Why it's wrong here
QnA Maker is for FAQ, not intent/entity extraction.
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JA
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.