Context: MLflow plays a crucial role in machine learning with Azure Databricks, seamlessly integrating key operational processes within the Azure Databricks environment. It simplifies the model development process, enabling data scientists to train models and deploy them efficiently without extensive coding requirements. Question: Which of the following are the core components of MLflow? (Select four.)