Exam Certified Machine Learning Professional topic 1 question 54 discussion

Actual exam question from Databricks's Certified Machine Learning Professional

Question #: 54
Topic #: 1

[All Certified Machine Learning Professional Questions]

A machine learning engineer wants to move their model version model_version for the MLflow Model Registry model model from the Staging stage to the Production stage using MLflow Client client. At the same time, they would like to archive any model versions that are already in the Production stage.
Which of the following code blocks can they use to accomplish the task?

A.
B.
C.
D.
E. It is not possible to transition models from Production to Archived.

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Suggested Answer: D 🗳️

by GVR76 at Jan. 9, 2024, 4:56 p.m.

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victorcolome

11 months, 3 weeks ago

Selected Answer: D

The answer is D. In the transition_model_version_stage function, when setting the archive_existing_versions flag to True, all existing model versions in the specified stage will be automatically moved to the archived stage. https://mlflow.org/docs/latest/python_api/mlflow.client.html#mlflow.client.MlflowClient.transition_model_version_stage

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