Databricks Certified Machine Learning Associate Practice Mode

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  - To register a model that has been identified by a specific run_id in the MLflow Model Registry, the appropriate line of code is: mlflow.register_model(f"runs:/{run_id}/model", "best_model") This code correctly specifies the path to the model within the run (runs:/{run_id}/model) and registers it under the name "best_model" in the Model Registry. This allows the model to be tracked, managed, and transitioned through different stages (e.g., Staging, Production) within the MLflow ecosystem. Reference MLflow documentation on model registry: https://www.mlflow.org/docs/latest/model-registry.html#registering-a-model