A team needs to compare training runs with different datasets, parameters, and metrics. Which SageMaker capability should be evaluated?

1. Managed MLflow experiment tracking with the relevant run inputs, parameters, and evaluation metrics.
2. Only Feature Store current online records.
3. Only endpoint autoscaling history.
4. Only the newest model filename.