DP-100 · Question #265
You manage an Azure Machine Learning workspace. You use Azure Machine Learning Python SDK v2 to configure a trigger to schedule a pipeline job. You need to create a time-based schedule with…
The correct answer is A. interval E. frequency. Configuring a time-based recurrence schedule in Azure ML SDK v2 requires specifying both the unit of time and the numeric interval between job runs.
Question
Options
- Ainterval
- Bstart_time
- Cschedule
- Dtime_zone
- Efrequency
How the community answered
(36 responses)- A92% (33)
- B6% (2)
- C3% (1)
Why each option
Configuring a time-based recurrence schedule in Azure ML SDK v2 requires specifying both the unit of time and the numeric interval between job runs.
interval defines the numeric count between each recurrence (e.g., every 2 hours). It is a required parameter of RecurrenceTrigger.
start_time is an optional parameter that sets when the schedule first activates, not a required property for defining the recurrence pattern itself.
schedule refers to the top-level Schedule object that wraps the trigger, not a property configured on the RecurrenceTrigger.
time_zone is an optional parameter that localizes the schedule's start time and has no effect on whether the recurrence pattern is valid.
frequency defines the time unit (minute, hour, day, week, or month) for the recurrence. Together with interval, these two properties are the minimum required to construct a valid RecurrenceTrigger in SDK v2.
Concept tested: Azure ML SDK v2 RecurrenceTrigger required properties
Source: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-schedule-pipeline-job
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