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You have an Azure Databricks workspace that uses serverless compute.
You need to ingest data by using Lakeflow Jobs. New records must be processed as soon as they become available.
Which type of job trigger should you use for the ingestion?
CORRECT ANSWE R: D - Continuous trigger.
According to Microsoft Learn on Lakeflow Jobs triggers, the Continuous trigger keeps the job running perpetually and immediately processes new records as they become available --- this directly satisfies 'New records must be processed as soon as they become available.' The Continuous trigger is specifically designed for near-real-time ingestion scenarios where latency must be minimized. Option A (Manual) requires a human to start each run, adding latency. Option B (File Arrival) triggers a job when new files land in a storage location, which is appropriate for file-based ingestion but introduces per-file trigger overhead rather than true continuous processing. Option C (Scheduled) runs at fixed intervals (e.g., hourly), introducing batch latency that is inconsistent with processing records 'as soon as they become available.'