Databricks Certified Machine Learning Professional — Question 47

Which of the following Databricks-managed MLflow capabilities is a centralized model store?

Answer options

• A. Models
• B. Model Registry
• C. Model Serving
• D. Feature Store
• E. Experiments

Correct answer: B

Explanation

The correct answer is B, Model Registry, which serves as a centralized location for managing and versioning machine learning models. The other options, while related to MLflow capabilities, do not function as a centralized store; for example, Models refers to the collection of models, and Feature Store pertains to storing features rather than models.