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Databricks Certified Machine Learning - Associate

Databricks Certified Machine Learning - Associate

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What is the correct method to transition a model version to the 'Stage' stage in the MLflow Model Registry?

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Explanation:

To transition a model version to any stage, including 'Stage', the correct function to use in Python code is client.transition_model_version_stage. This function is specifically designed for changing the stage of a model version in the MLflow Model Registry.

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