Microsoft Azure AI Engineer Associate AI-102 Practice Question
You are configuring an Azure AI Search indexer that imports data from an Azure SQL Database table containing a LastModifiedDate column of type datetime2. After the first full crawl, the indexer should process only those rows that were inserted or updated since the previous run, so that each incremental execution finishes quickly and minimizes database load. Which setting must you add to the indexer definition to meet this requirement?
Set the indexer schedule interval to a short period, such as every five minutes.
Configure a HighWaterMarkChangeDetectionPolicy that points to the LastModifiedDate column.
Set the parameters.batchSize value to 1,000 documents per batch.
Enable a SoftDeleteColumnDeletionDetectionPolicy on the LastModifiedDate column.
Incremental indexing is enabled by adding a HighWaterMarkChangeDetectionPolicy to the indexer. You specify the name of a monotonically increasing column (such as LastModifiedDate) and the indexer automatically stores the highest value it has seen. On the next run it requests only rows where the column value is greater than that stored watermark, thereby importing just new or updated data. Changing the schedule merely determines when runs occur, batchSize controls how many items are sent per batch, and a SoftDeleteColumnDeletionDetectionPolicy is used to detect deletions, not updates.
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