You are an ML engineer at a retail company. You need to automate a recurring retraining workflow for a demand forecasting model. The workflow involves dependencies across hybrid environments and must execute the following sequential steps: 1. Trigger a shell script on an on-premises server to extract legacy sales data and send it to a Cloud Storage bucket. 2. Trigger a pipeline in Agent Platform Pipelines to train and validate the new model. 3. Push the validation metrics to a third-party API. You need a fully managed orchestration service that provides native connectors to handle these cross-platform dependencies. You want to use the most stable, robust solution. What should you do?
Select one answer.
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