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A media company uses Azure AI Search to index news articles. They notice that queries for 'CEO' do not consistently return articles mentioning 'Chief Executive Officer', and vice versa. Similarly, searches for 'US' might miss articles using 'United States'. To improve search recall, you need to ensure that these related terms are treated as equivalent during searches. Which Azure AI Search feature should you implement?
- AScoring profiles
- BAnalyzers
- CSynonym maps
- DSuggesters
Show answer & explanationAnswer & explanation
Correct answer: C. Synonym maps
Synonym maps allow you to define equivalencies between terms (e.g., 'CEO' and 'Chief Executive Officer'), ensuring that a search for one term will also return results containing its synonyms, thereby improving search recall.
Why the other options are wrong
- A. Scoring profiles adjust result relevance, not query expansion.
- B. Analyzers process text for indexing and querying, but don't define term equivalencies in this manner.
- D. Suggesters provide query completion, not synonym handling.
Azure AI Search Synonym Maps
A feature in Azure AI Search that allows defining a set of equivalent terms, ensuring that a search for one term will also return results containing its synonyms.
- Improves search recall by expanding queries.
- Can be global or language-specific.
- Defined as a JSON object with 'synonyms' property.
Memory trick: Synonym maps make words synonymous.