- A
Add synonyms and phrase list to the LUIS application.
Why wrong: LUIS is not used in custom question answering; synonyms are configured directly in the knowledge base.
- B
Add alternative question phrases to the QnA pairs in the custom question answering project.
Why wrong: While adding alternative questions is useful, the question specifically asks about synonyms and phrase lists, not alternative questions.
- C
Define entities in the custom question answering project to capture key information.
Why wrong: Entities are used in LUIS and conversational language understanding, not in custom question answering.
- D
Add synonyms and phrase list to the custom question answering project.
Synonyms and phrase lists help match varied user utterances to the correct QnA pair.
Quick Answer
The correct configuration is to add synonyms and phrase lists to the custom question answering project. This works because synonyms and phrase lists normalize user utterances by mapping equivalent terms—like “cost,” “price,” and “fee”—to the same intent, allowing the Language service to recognize varied phrasing without requiring exact matches. On the AI-102 exam, this tests your understanding of intent mapping optimization within Azure Cognitive Service for Language, often appearing as a scenario where a chatbot fails to handle paraphrased questions. A common trap is assuming that retraining the model alone solves the issue, but the key is explicitly defining linguistic variations through phrase lists. Remember the memory tip: “Synonyms sync the sense, phrases fix the phrasing”—if your chatbot can’t understand “how much” when trained on “price,” you need a phrase list, not more data.
AI-102 Practice Question: Implement natural language processing solutions
This AI-102 practice question tests your understanding of implement natural language processing solutions. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company is building a chatbot using Azure Cognitive Service for Language. They need to ensure that user utterances are correctly mapped to the appropriate intent in a custom question answering project. What should they configure?
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
Add synonyms and phrase list to the custom question answering project.
Option D is correct because adding synonyms and phrase lists to a custom question answering project directly improves the mapping of user utterances to intents by normalizing variations in phrasing. This configuration allows the project to recognize equivalent terms (e.g., 'cost' and 'price') as the same intent, ensuring accurate intent mapping without requiring exact matches.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Add synonyms and phrase list to the LUIS application.
Why it's wrong here
LUIS is not used in custom question answering; synonyms are configured directly in the knowledge base.
- ✗
Add alternative question phrases to the QnA pairs in the custom question answering project.
Why it's wrong here
While adding alternative questions is useful, the question specifically asks about synonyms and phrase lists, not alternative questions.
- ✗
Define entities in the custom question answering project to capture key information.
Why it's wrong here
Entities are used in LUIS and conversational language understanding, not in custom question answering.
- ✓
Add synonyms and phrase list to the custom question answering project.
Why this is correct
Synonyms and phrase lists help match varied user utterances to the correct QnA pair.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse the role of synonyms/phrase lists in custom question answering with the separate LUIS service, or mistakenly think alternative question phrases (Option B) are the primary mechanism for intent mapping, when in fact they only expand answer triggers, not intent classification.
Trap categories for this question
Keyword trap
While adding alternative questions is useful, the question specifically asks about synonyms and phrase lists, not alternative questions.
Detailed technical explanation
How to think about this question
Under the hood, custom question answering uses a ranker that matches user utterances to QnA pairs based on semantic similarity and keyword overlap; synonyms and phrase lists enhance this by expanding the token set considered during matching, reducing false negatives. For example, if a user says 'repair' and the QnA pair uses 'fix', a synonym list ensures both map to the same intent. In real-world scenarios, this is critical for handling industry jargon or regional variations (e.g., 'lift' vs. 'elevator') without requiring exhaustive manual question additions.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
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FAQ
Questions learners often ask
What does this AI-102 question test?
Implement natural language processing solutions — This question tests Implement natural language processing solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Add synonyms and phrase list to the custom question answering project. — Option D is correct because adding synonyms and phrase lists to a custom question answering project directly improves the mapping of user utterances to intents by normalizing variations in phrasing. This configuration allows the project to recognize equivalent terms (e.g., 'cost' and 'price') as the same intent, ensuring accurate intent mapping without requiring exact matches.
What should I do if I get this AI-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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.
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