Databricks Certified Machine Learning Professional — Question 7

Which of the following describes the concept of MLflow Model flavors?

Answer options

• A. A convention that deployment tools can use to wrap preprocessing logic into a Model
• B. A convention that MLflow Model Registry can use to version models
• C. A convention that MLflow Experiments can use to organize their Runs by project
• D. A convention that deployment tools can use to understand the model
• E. A convention that MLflow Model Registry can use to organize its Models by project

Correct answer: D

Explanation

The correct answer is D because MLflow Model flavors provide a framework for deployment tools to interpret different models. Options A, B, and C refer to other aspects of MLflow, such as preprocessing, versioning, and organizing experiments, which do not directly relate to the concept of model flavors.