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You used Vertex AI Workbench user-managed notebooks to develop a TensorFlow model. The model pipeline accesses data from Cloud Storage, performs feature engineering and training locally, and outputs the trained model in Vertex AI Model Registry. The end-to-end pipeline takes 10 hours on the attached optimized instance type. You want to introduce model and data lineage for automated re-training runs for this pipeline only while minimizing the cost to run the pipeline. What should you do?