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Databricks Certified Machine Learning - Associate

Databricks Certified Machine Learning - Associate

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What is the correct method to delete a specific version of a registered model in the MLflow Model Registry?

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Explanation:

To delete a specific version of a registered model in the MLflow Model Registry, the client.delete_model_version function is used. This function requires two arguments: name, which specifies the name of the registered model, and version, which indicates the specific version of the model to be deleted. Other options such as remove_model, erase_model_version, or delete_model either refer to deleting the entire registered model or are not standard functions for this purpose. Therefore, client.delete_model_version(name=model_name, version=1) is the correct and recommended approach for version-specific deletion.

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