The log_metric function is used to log a numeric metric value to the current MLflow run. It takes the name of the metric and the value as arguments. In this case, the name of the metric is “rmse” and the value is the variable rmse. The log_metric function can be used multiple times to log different metrics or update the same metric. The log_artifact function is used to log a file or directory as an artifact to the current MLflow run. The log_model function is used to log a model with a specified flavor to the current MLflow run. The log_param function is used to log a key-value pair as a parameter to the current MLflow run. There is a way to store values like this using the log_metric function, so option E is incorrect.https://docs.databricks.com/