In a scenario where you need to share artifacts from an MLflow Run with other team members, explain how you would access and download the artifacts using the MLflow UI, and discuss the benefits of using MLflow for artifact management.

Simulated

Use the MLflow Client API to programmatically access and download the artifacts from the run.

20.6%

Go to the run's page in the MLflow UI, click on the 'Artifacts' tab, and manually download the desired artifacts.

55.9%

Use the MLflow UI to create a shared folder and move the artifacts from the run into the folder for easy access by other team members.

23.5%

Manually copy the artifact files from the MLflow tracking server's file system and share them with the team members.

0.0%

Databricks Certified Machine Learning - Associate