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A retail company uses a machine learning model to predict customer demand. Cleaned and prepared training data is uploaded to an Amazon S3 bucket every 3-4 days. The company has an Amazon SageMaker pipeline for retraining the model, which is currently triggered manually. How can the ML engineer automate triggering the pipeline with the least operational effort? (Select two)