Databricks Certified Data Engineer Associate — Question 105

Which method should a Data Engineer apply to ensure Workflows are being triggered on schedule?

Answer options

• A. Scheduled Workflows require an always-running cluster, which is more expensive but reduces processing latency.
• B. Scheduled Workflows process data as it arrives at configured sources.
• C. Scheduled Workflows can reduce resource consumption and expense since the cluster runs only long enough to execute the pipeline.
• D. Scheduled Workflows run continuously until manually stopped.

Correct answer: C

Explanation

The correct answer, C, highlights that Scheduled Workflows optimize resource use by only operating the cluster for the duration needed to run the pipeline, thus saving costs. Option A is incorrect because an always-running cluster increases expenses rather than reduces them. Option B misrepresents how Scheduled Workflows function, as they do not process data continuously but instead at specified times. Option D is inaccurate because Scheduled Workflows do not run continuously; they are designed to activate only on schedule.