Câu 31: Databricks Certified Machine Learning Professional

A data scientist has developed and logged a scikit-learn random forest model model, and then they ended their Spark session and terminated their cluster. After starting a new cluster, they want to review the feature_importances_ of the original model object. Which of the following lines of code can be used to restore the model object so that feature_importances_ is available?

1. A. mlflow.load_model(model_uri)
2. B. client.list_artifacts(run_id)["feature-importances.csv"]
3. C. mlflow.sklearn.load_model(model_uri) — đáp án hiện tại
4. D. This can only be viewed in the MLflow Experiments UI
5. E. client.pyfunc.load_model(model_uri)