Databricks Machine Learning Associate Question 136
Single answerYou are managing a machine learning model using the Databricks MLflow Model Registry. You want to transition a registered model from the 'Staging' stage to the 'Production' stage using the ML Registry UI page. Which of the following actions must you perform to complete this transition?
- A
Navigate to the registered model's page, click the 'Staging' stage dropdown, and select 'Transition to Production'.
- B
Export the model to a local file and re-upload it to the 'Production' stage.
- C
Navigate to the registered model's page, select the version you want to transition, and request a stage transition to 'Production'.
- D
Submit a manual API request to transition the model to the 'Production' stage.
Show answer and explanation
Correct answer: C
Explanation
To transition a model to a different stage using the MLflow Model Registry UI, you need to navigate to the registered model's page, select the desired version, and explicitly request a transition to the target stage (e.g., 'Production'). Other methods, such as exporting and re-uploading the model or using APIs, are not required for this specific UI-based task.
- A. Incorrect.
Incorrect. While the dropdown allows you to view stages, the transition process requires selecting a specific version and explicitly requesting the stage change.
- B. Incorrect.
Incorrect. Exporting and re-uploading the model is unnecessary, as the MLflow Model Registry supports direct stage transitions for registered models.
- C. Correct.
Correct. In the ML Registry UI, you must navigate to the model's page, identify the version you intend to transition, and explicitly request a stage transition.
- D. Incorrect.
Incorrect. While the API can be used for stage transitions, this question specifically refers to using the ML Registry UI, not programmatic methods.