Databricks Machine Learning Associate Practice Questions - Databricks Certified Machine Learning Associate Exam

Keeping training code in source control and logging run parameters and artifacts with MLflow Relying on notebook revision history alone and skipping experiment tracking Letting each data scientist rename columns locally before training Saving only the final predictions because metrics can be recalculated later