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Exam Databricks-Certified-Professional-Data-Engineer Topic 5 Question 19 Discussion

Actual exam question for Databricks's Databricks-Certified-Professional-Data-Engineer exam
Question #: 19
Topic #: 5
You would like to build a spark streaming process to read from a Kafka queue and write to a Delta table every
15 minutes, what is the correct trigger option

Suggested Answer: D Vote an answer

Explanation
The answer is trigger(processingTime = "15 Minutes")
Triggers:
*Unspecified
This is the default. This is equivalent to using processingTime="500ms"
*Fixed interval micro-batches .trigger(processingTime="2 minutes")
The query will be executed in micro-batches and kicked off at the user-specified intervals
*One-time micro-batch .trigger(once=True)
The query will execute a single micro-batch to process all the available data and then stop on its own
*One-time micro-batch.trigger .trigger(availableNow=True) -- New feature a better version of (once=True) Databricks supports trigger(availableNow=True) in Databricks Runtime 10.2 and above for Delta Lake and Auto Loader sources. This functionality combines the batch processing approach of trigger once with the ability to configure batch size, resulting in multiple parallelized batches that give greater control for right-sizing batches and the resultant files.

by Jo at Jan 29, 2026, 06:51 AM

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