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DP-750 · 4.2.3 · Deploy and maintain data pipelines and workloads

Schedule a job

Schedule a job

Use a scheduled trigger for calendar-based execution and choose timezone and cadence to match the business requirement.

Schedule from the business clock

Microsoft Learn Lakeflow Jobs UI showing a multi-task job DAG with branching logic and a scheduled trigger.

A scheduled trigger is appropriate when clock time, rather than data arrival, is the business requirement.

Resolve the scheduling inputs

  1. 1Freshness targetHow often must output update?
  2. 2Source readinessWhen is input complete?
  3. 3Job durationCan runs overlap?
  4. 4TimezoneWhich local clock matters?
Scheduling decisions

Use the intended business timezone so daylight-saving behavior stays aligned with local expectations.

Avoid accidental overlap

  • Overlap is unsafeLimit concurrent runs
  • Source arrival should drive executionUse an event trigger instead
Next run starts before prior run ends

Do not schedule frequently by habit when file or table events can start work more efficiently.

Key points

  • Schedule: Time-based recurring job trigger
  • Timezone: Interpret business clock time correctly
  • Cadence: Match freshness needs without unnecessary runs
  • Concurrency: Prevent overlapping schedules when unsafe

Exam trap

Do not assume a fixed UTC offset when the business schedule follows a timezone with daylight-saving changes.

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