Microsoft Certified: Azure AI Engineer AssociateImplement knowledge mining solutionsHard
A financial institution is implementing an Azure AI Search solution to index customer correspondence. Due to the sensitive nature of the information, they need to ensure that only authorized personnel can access certain documents. Which Azure AI Search feature can be used to implement document-level security, ensuring that search results are filtered based on the user's permissions?
- ASuggesters
- BScoring profiles
- CSynonym maps
- DSecurity filters (Access Control Lists)
Show answer & explanationAnswer & explanation
Correct answer: D. Security filters (Access Control Lists)
Azure AI Search supports document-level security by integrating with access control lists (ACLs). You can index security identifiers (SIDs) or roles associated with documents and then filter search results based on the current user's identity, ensuring they only see documents they are authorized to access.
Why the other options are wrong
- A. Suggesters provide query completion, not document-level security.
- B. Scoring profiles influence result ranking, not access control.
- C. Synonym maps expand queries with synonyms, they do not control document access.
Azure AI Search Security Filters (ACLs)
A mechanism in Azure AI Search to implement document-level security by filtering search results based on user permissions or roles.
- Requires indexing security identifiers (SIDs) or roles with each document.
- Query time filters are applied based on the authenticated user's identity.
- Ensures users only see documents they are authorized to access.
Memory trick: To keep documents 'secure', you need 'security filters' like bouncers at a club, checking everyone's 'access list'.