AI-102 Practice Question: Implement natural language processing solutions
Which THREE actions should an engineer take when deploying a custom question answering project in Azure Cognitive Service for Language?
⚠ Common exam trap
Many candidates confuse the need for LUIS integration (Option A) with question answering, not realizing that custom question answering is a standalone service that does not require intent detection from LUIS.
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
✓
Set up a multi-turn extraction policy for follow-up questions.
Multi-turn extraction is a core feature of custom question answering that allows the system to handle follow-up questions by maintaining context across turns. This is essential for conversational flows where a user's subsequent query depends on the previous answer, and it is configured via the project settings in Language Studio.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Integrate LUIS for intent detection.
Why it's wrong here
Question answering has its own intent detection.
- ✓
Set up a multi-turn extraction policy for follow-up questions.
Why this is correct
Multi-turn extraction is needed for conversation flow.
- ✓
Enable active learning to improve answer suggestions.
Why this is correct
Active learning helps refine the model.
- ✓
Add chit-chat to handle common conversational phrases.
Why this is correct
Chit-chat improves user experience.
- ✗
Configure a single-turn extraction policy.
Why it's wrong here
Single-turn does not handle follow-up questions.
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