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You collaborate with a data engineering team that has developed a pipeline to clean the dataset and store it in a Cloud Storage bucket. You've created an ML model and aim to refresh it as soon as new data becomes available. As part of your CI/CD workflow, you intend to automate the execution of a Kubeflow Pipelines training job on a Google Kubernetes Engine (GKE) cluster. How should you design this workflow?