AI-102 Implement agentic AI solutions Practice Question
A company is developing an agent that uses Azure AI Language to extract entities and intents from user queries. The agent receives a query: 'Book a flight to Paris on Friday.' The agent should extract the intent as 'BookFlight' and entities as 'Paris' (destination) and 'Friday' (date). The team uses a custom entity extraction model. After testing, the model extracts 'Paris' as location but fails to extract 'Friday' as date. What should the team do to fix this?
⚠ Common exam trap
Watch out — candidates often confuse the need for more training data (Option C) with the use of prebuilt components (Option B), assuming prebuilt entities can fix custom model gaps, but prebuilt entities are not part of the custom entity extraction pipeline and would require a different project type.
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
✓
Train the entity extraction model with more examples of dates.
The custom entity extraction model in Azure AI Language requires sufficient labeled examples for each custom entity type to learn patterns. Since the model extracts 'Paris' (location) but fails on 'Friday' (date), the issue is specifically with the date entity's training data, not the location. Adding more diverse examples of date expressions (e.g., 'next Monday', 'tomorrow', 'March 5th') will improve the model's ability to recognize 'Friday' as a date entity.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the training data for location entities.
Why it's wrong here
This does not address the date issue.
- ✗
Add a prebuilt entity component for date.
Why it's wrong here
Prebuilt components may not be suitable for custom models.
- ✓
Train the entity extraction model with more examples of dates.
Why this is correct
More training examples improve entity recognition.
- ✗
Use a different intent classification model.
Why it's wrong here
Entity extraction is separate from intent classification.
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