Databricks Certified Associate Developer for Apache Spark 3.5-Python Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question # 16 Topic 2 Discussion

Databricks Certified Associate Developer for Apache Spark 3.5-Python Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question # 16 Topic 2 Discussion

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Exam Topic 2 Question 16 Discussion:
Question #: 16
Topic #: 2

Given this code:

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question 16

.withWatermark("event_time","10 minutes")

.groupBy(window("event_time","15 minutes"))

.count()

What happens to data that arrives after the watermark threshold?

Options:


A.

Records that arrive later than the watermark threshold (10 minutes) will automatically be included in the aggregation if they fall within the 15-minute window.


B.

Any data arriving more than 10 minutes after the watermark threshold will be ignored and not included in the aggregation.


C.

Data arriving more than 10 minutes after the latest watermark will still be included in the aggregation but will be placed into the next window.


D.

The watermark ensures that late data arriving within 10 minutes of the latest event_time will be processed and included in the windowed aggregation.


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