Databricks Certified Data Engineer - Associate

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What approach should a Data Engineer use to guarantee that Workflows are triggered according to their scheduled timetable?

Exam-Like

A

Scheduled Workflows require an always-running cluster, which is more expensive but reduces processing latency.

5.5%

B

Scheduled Workflows process data as it arrives at configured sources.

9.5%

C

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Scheduled Workflows can reduce resource consumption and expense since the cluster runs only long enough to execute the pipeline.

79.6%

D

Scheduled Workflows run continuously until manually stopped.

5.5%

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