The correct answer is that the query is not phrased as an exact match to the trained question. Custom Question Answering operates on a fixed set of question-answer pairs and relies on intent matching, not semantic rephrasing; when the test query "How many vacation days do I get?" differs from the trained question "What is the vacation policy?", the system finds no direct match and returns no answer. This scenario tests your understanding of how Custom Question Answering handles phrasing mismatch—a common pitfall on the AI-102 exam where candidates assume the service can automatically interpret varied wording. The trap here is confusing semantic similarity with exact intent matching: the JSON defines a specific question, and the service does not infer answers from paraphrased queries unless alternate phrasing is explicitly trained. Remember the memory tip: "Exact phrasing, exact matching—Custom QA won't rephrase your asking."
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.
Exhibit
{
"displayName": "CustomQuestionAnsweringProject",
"language": "en",
"description": "QnA for HR policies",
"qnaDocuments": [
{
"id": "doc1",
"source": "HR_Handbook.pdf",
"questions": [
{
"question": "What is the vacation policy?",
"answer": "Employees accrue 15 days per year."
}
]
}
]
}
Refer to the exhibit. You have a Custom Question Answering project configured with the JSON shown. When you test the project in Azure AI Language Studio, the query 'How many vacation days do I get?' returns no answer. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The query is not phrased as an exact match to the trained question.
The JSON shows that the question is phrased as 'What is the vacation policy?' and the answer is about accruing 15 days. However, the test query 'How many vacation days do I get?' is semantically different. Custom Question Answering uses a fixed set of question-answer pairs and does not automatically rephrase queries; it relies on matching the intent. Option C is correct because the query does not match the trained question. Option A is incorrect because the language is set to English. Option B is incorrect because the answer is present. Option D is incorrect because the confidence threshold is not specified in the exhibit.
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.
✓
The query is not phrased as an exact match to the trained question.
Why this is correct
Custom Question Answering matches questions based on semantic similarity, but if the phrasing is too different, it may not return an answer.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
The language is set to English but the query uses informal language.
Why it's wrong here
The language setting is appropriate; informal language should not cause a total failure.
✗
The answer field is empty in the JSON.
Why it's wrong here
The answer field contains 'Employees accrue 15 days per year.'
✗
The confidence score threshold is set too high.
Why it's wrong here
The exhibit does not show any threshold setting.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Trap categories for this question
Command / output trap
The exhibit does not show any threshold setting.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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: The query is not phrased as an exact match to the trained question. — The JSON shows that the question is phrased as 'What is the vacation policy?' and the answer is about accruing 15 days. However, the test query 'How many vacation days do I get?' is semantically different. Custom Question Answering uses a fixed set of question-answer pairs and does not automatically rephrase queries; it relies on matching the intent. Option C is correct because the query does not match the trained question. Option A is incorrect because the language is set to English. Option B is incorrect because the answer is present. Option D is incorrect because the confidence threshold is not specified in the exhibit.
What should I do if I get this AI-102 question wrong?
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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