Databricks Certified Machine Learning Professional — Question 18

A machine learning engineer wants to deploy a model for real-time serving using MLflow Model Serving. For the model, the machine learning engineer currently has one model version in each of the stages in the MLflow Model Registry. The engineer wants to know which model versions can be queried once Model Serving is enabled for the model.
Which of the following lists all of the MLflow Model Registry stages whose model versions are automatically deployed with Model Serving?

Answer options

• A. Staging, Production, Archived
• B. Production
• C. None, Staging, Production, Archived
• D. Staging, Production
• E. None, Staging, Production

Correct answer: D

Explanation

The correct answer is D because MLflow Model Serving automatically deploys model versions that are in the Staging and Production stages. Options A, C, and E include stages that do not automatically deploy, like Archived and None, while option B only includes Production and misses Staging, which is also deployed.