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articles/machine-learning/how-to-schedule-pipeline-job.md

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@@ -39,6 +39,8 @@ In this article, you'll learn how to programmatically schedule a pipeline to run
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- An Azure Machine Learning workspace. See [Create workspace resources](quickstart-create-resources.md).
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- Understanding of Azure Machine Learning pipelines. See [what are machine learning pipelines](concept-ml-pipelines.md), and how to create pipeline job in [CLI v2](how-to-create-component-pipelines-cli.md) or [SDK v2](how-to-create-component-pipeline-python.md).
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## Schedule a pipeline job
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To run a pipeline job on a recurring basis, you'll need to create a schedule. A `Schedule` associates a job, and a trigger. The trigger can either be `cron` that use cron expression to describe the wait between runs or `recurrence` that specify using what frequency to trigger job. In each case, you need to define a pipeline job first, it can be existing pipeline jobs or a pipeline job define inline, refer to [Create a pipeline job in CLI](how-to-create-component-pipelines-cli.md) and [Create a pipeline job in SDK](how-to-create-component-pipeline-python.md).

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