AI-102 Plan and manage an Azure AI solution Practice Question
You are deploying an Azure AI Search solution that indexes customer support tickets. The solution must support fuzzy search for misspelled keywords and boost results from premium customers. Which two features should you configure?
⚠ Common exam trap
Candidates often confuse fuzzy search parameters with custom analyzers or synonym maps, but fuzzy search is a query-time parameter (e.g., searchMode=any&fuzzy=true) that does not require index-level configuration, while scoring profiles are the correct mechanism for boosting results.
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
✓
Scoring profiles
Scoring profiles allow you to boost search results based on specific criteria, such as customer tier, by assigning higher weights to certain fields or adding functions that increase scores for premium customers. This directly supports the requirement to prioritize results from premium customers.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Scoring profiles
Why this is correct
Scoring profiles allow boosting based on fields like customer tier.
- ✗
Synonym maps
Why it's wrong here
Synonym maps expand search terms but do not handle misspellings or boosting.
- ✗
Suggesters
Why it's wrong here
Suggesters enable autocomplete and did-you-mean, not boosting.
- ✗
Custom analyzers
Why it's wrong here
Custom analyzers control tokenization but do not provide boosting.
- ✓
Fuzzy search parameters
Why this is correct
Fuzzy search handles misspellings by allowing approximate matches.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.