Microsoft Certified: Azure AI Engineer AssociateImplement knowledge mining solutionsMedium
A manufacturing company uses Azure AI Search to index maintenance logs. They need to ensure that search results prioritize documents that are more recent. Which Azure AI Search feature should be configured to achieve this dynamic ranking adjustment?
- AAnalyzers
- BSynonym maps
- CSuggesters
- DScoring profiles
Show answer & explanationAnswer & explanation
Correct answer: D. Scoring profiles
Scoring profiles in Azure AI Search allow you to influence the relevance of search results by applying weights or functions to specific fields. To prioritize recent documents, a scoring profile can be configured with a 'freshness' function on a date/time field.
Why the other options are wrong
- A. Analyzers process text during indexing and querying, affecting how terms are matched but not directly influencing ranking based on document attributes like recency.
- B. Synonym maps expand queries with synonyms, not adjust ranking based on recency.
- C. Suggesters provide query completion suggestions, not result ranking.
Azure AI Search Scoring Profiles
Customizable rules that influence the relevance score of documents in search results based on specific field values or functions.
- Can apply weights to fields.
- Supports functions like 'freshness', 'magnitude', 'distance'.
- Allows for dynamic re-ranking of results.
Memory trick: To 'score' a goal, you need a 'scoring profile' that knows which documents are 'fresh' and exciting.