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Scenario: The Eat-More Corporation, a U.S.-based fast-food chain led by Teresa Payton, operates its headquarters and processing plants in Sedona, Arizona. With restaurants across the United States, the company is now preparing for international expansion. To enhance machine learning experiment management, Eat-More utilizes MLflow within Azure Machine Learning. Teresa wants to streamline model training by ensuring that metrics, model parameters, and artefacts are logged automatically. Question: How can Teresa configure MLflow to efficiently log these components during model training?