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

Separate development, staging, and production environments with versioned code and tracked model artifacts One shared workspace where notebooks are edited directly in production to keep changes fast Manual model file copies between users to avoid registry overhead Training new models whenever a stakeholder asks, without keeping prior run metadata