- A
Apply a filter
Why wrong: Filters restrict results, not expand them.
- B
Configure a scoring profile
Why wrong: Scoring profiles affect ranking, not query expansion.
- C
Enable semantic search
Why wrong: Semantic search re-ranks results but does not handle synonyms.
- D
Add a synonym map to the index
Synonyms map equivalent terms to improve recall.
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
This AI-102 practice question tests your understanding of implement knowledge mining and information extraction solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
Your team is using Azure AI Search to index a large collection of technical manuals. Users report that searches for 'disk failure' do not return relevant results because the manuals use terms like 'hard drive crash'. Which feature should you implement to improve recall?
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 a synonym map to the index
A synonym map in Azure AI Search allows you to define equivalent terms (e.g., 'disk failure' = 'hard drive crash') so that queries automatically expand to include synonyms. This directly addresses the vocabulary mismatch between user queries and indexed content, improving recall without requiring changes to the documents or queries.
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.
- ✗
Apply a filter
Why it's wrong here
Filters restrict results, not expand them.
- ✗
Configure a scoring profile
Why it's wrong here
Scoring profiles affect ranking, not query expansion.
- ✗
Enable semantic search
Why it's wrong here
Semantic search re-ranks results but does not handle synonyms.
- ✓
Add a synonym map to the index
Why this is correct
Synonyms map equivalent terms to improve recall.
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 often confuse semantic search (which improves ranking via language models) with synonym expansion (which directly addresses vocabulary mismatch by broadening the query), leading them to choose option C instead of D.
Detailed technical explanation
How to think about this question
Under the hood, a synonym map is defined as a JSON object with 'format' set to 'solr' and a list of synonym rules (e.g., 'disk failure, hard drive crash'). When a query is executed, Azure AI Search expands the query terms using the synonym map before performing the search against the inverted index. In a real-world scenario, if a technical manual uses 'hard drive crash' but a user searches 'disk failure', without a synonym map the BM25 scoring would assign zero score to those documents; with the map, the query effectively becomes 'disk failure OR hard drive crash', dramatically improving recall.
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 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
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FAQ
Questions learners often ask
What does this AI-102 question test?
Implement knowledge mining and information extraction solutions — This question tests Implement knowledge mining and information extraction solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Add a synonym map to the index — A synonym map in Azure AI Search allows you to define equivalent terms (e.g., 'disk failure' = 'hard drive crash') so that queries automatically expand to include synonyms. This directly addresses the vocabulary mismatch between user queries and indexed content, improving recall without requiring changes to the documents or queries.
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: Jul 4, 2026
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