Databricks Certified Associate Developer for Apache Spark 3.5-Python Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question # 20 Topic 3 Discussion

Databricks Certified Associate Developer for Apache Spark 3.5-Python Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question # 20 Topic 3 Discussion

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Exam Topic 3 Question 20 Discussion:
Question #: 20
Topic #: 3

A data engineer is working on a real-time analytics pipeline using Apache Spark Structured Streaming. The engineer wants to process incoming data and ensure that triggers control when the query is executed. The system needs to process data in micro-batches with a fixed interval of 5 seconds.

Which code snippet the data engineer could use to fulfil this requirement?

A)

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question 20

B)

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question 20

C)

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question 20

D)

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question 20

Options:


A.

Uses trigger(continuous='5 seconds') – continuous processing mode.


B.

Uses trigger() – default micro-batch trigger without interval.


C.

Uses trigger(processingTime='5 seconds') – correct micro-batch trigger with interval.


D.

Uses trigger(processingTime=5000) – invalid, as processingTime expects a string.


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