The AI-102 exam has been retired
It was retired on June 30, 2026. It was replaced by AI-103 (Microsoft Azure AI Apps and Agents Developer Associate). Go to the AI-103 study guide →
Copyright (c) 2026 MindMesh Academy. All rights reserved. This content is proprietary and may not be reproduced or distributed without permission.
7.1.1.2. Indexers and Data Sources
7.1.1.2. Indexers and Data Sources
Indexers automate the data pipeline from source systems into your search index. Instead of pushing documents manually, indexers pull changes on a schedule.
Supported data sources:
- Azure Blob Storage (documents, images)
- Azure SQL Database
- Azure Cosmos DB
- Azure Table Storage
Change detection strategies:
- High water mark: Track last-modified timestamp column
- SQL integrated: Use SQL change tracking
- Soft delete: Mark deleted items instead of removing
Indexer schedule: Run once, on-demand, or on schedule (minimum 5 minutes interval)
When not to use indexers: Real-time updates (too slow), non-supported sources, complex transformations (use push API instead)
Enroll to unlock the 6 practice questions written for this section, so you can test what you just read while it is fresh.
Enroll to unlock the 1 flashcard for this section and review them on a spaced-repetition schedule.
Written byAlvin Varughese
Founder•18 professional certifications