A machine learning engineer is migrating a machine learning pipeline to use Databricks Machine Learning. They have programmatically identified the best run from an MLflow Experiment and stored its URI in the model_uri variable and its Run ID in the run_id variable. They have also determined that the model was logged with the name "model". Now, the machine learning engineer wants to register that model in the MLflow Model Registry with the name "best_model".Which of the following lines of code can they use to register the model to the MLflow Model Registry?
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.Which of the following code blocks can they use to accomplish the task?
Which of the following is an advantage of using the python_function(pyfunc) model flavor over the built-in library-specific model flavors?
Which of the following lists all of the model stages are available in the MLflow Model Registry?
Which of the following MLflow Model Registry use cases requires the use of an HTTP Webhook?
A data scientist has created a Python function compute_features that returns a Spark DataFrame with the following schema:The resulting DataFrame is assigned to the features_df variable. The data scientist wants to create a Feature Store table using features_df.Which of the following code blocks can they use to create and populate the Feature Store table using the Feature Store Client fs?
