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Which method should a Data Engineer apply to ensure Workflows are being triggered on schedule?
Scheduled Workflows require an always-running cluster, which is more expensive but reduces processing latency.
Scheduled Workflows process data as it arrives at configured sources.
Scheduled Workflows can reduce resource consumption and expense since the cluster runs only long enough to execute the pipeline.
Scheduled Workflows run continuously until manually stopped.
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