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Answer: interval, frequency
To create a time-based schedule with a recurrence pattern in Azure Machine Learning Python SDK v2, the two essential properties are 'frequency' and 'interval'. The 'frequency' property defines the unit of time for recurrence (e.g., daily, weekly, monthly), while the 'interval' specifies how often the recurrence pattern repeats (e.g., every 2 days). These properties are core to defining recurrence in Azure ML schedules. The community discussion shows 100% consensus on AE, with upvoted confirmation that this is correct. Other options are less suitable: 'start_time' (B) is optional for defining when the schedule begins but not required for recurrence itself; 'schedule' (C) refers to the overall schedule object, not a specific property for recurrence; 'time_zone' (D) is optional for timezone specification but not mandatory for basic recurrence configuration.
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You are using Azure Machine Learning Python SDK v2 to create a time-based schedule with a recurrence pattern for a pipeline job.
Which two properties must you configure for the trigger? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A
interval
B
start_time
C
schedule
D
time_zone
E
frequency
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