Microsoft Azure AI Engineer Associate AI-102 Practice Question
You need to configure an Azure AI Search indexer that ingests data from an Azure SQL Database table every hour. During each run the indexer must transmit only rows that were added or updated after the previous crawl; unchanged rows must be ignored to reduce load on the database. Which configuration change should you make when you create the indexer?
Configure the indexer schedule with an interval of 1 hour and no start time.
Enable a high-water-mark change detection policy on the indexer and map it to a LastModified column.
Run the indexer with the reset flag set to true before each scheduled execution.
Add a dataChangeDetectionPolicy with an @odata.type of #Microsoft.Azure.Search.SqlIntegratedChangeTrackingPolicy.
To enable incremental crawling against Azure SQL Database tables, you include a dataChangeDetectionPolicy of type SqlIntegratedChangeTrackingPolicy in the indexer definition. This policy relies on SQL Server's native change tracking feature and allows the indexer to retrieve only the rows that have changed since its last successful execution. While a high-water-mark policy can be used with Azure SQL (typically for views), SqlIntegratedChangeTrackingPolicy is the recommended and most efficient method for tables. Schedule settings alone control when the indexer runs but do not handle delta detection. Resetting the indexer forces a full crawl rather than an incremental one.
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