In a scenario where you are working with a team of data scientists using MLflow for experiment tracking and model management, you are tasked with identifying the best run based on a specific metric. Describe the steps you would take to use the MLflow Client API to identify the best run, and explain how you would use the API to log metrics, artifacts, and models in an MLflow Run.