Databricks Certified Machine Learning Professional — Question 60

A machine learning engineer has developed a random forest model using scikit-learn and registered the model using MLflow. They now want to deploy that model in parallel.

Which of the following operations can they use to create a function they can use to deploy the registered scikit-learn model in parallel?

Answer options

• A. It is not possible to deploy a scikit-learn model in parallel.
• B. mlflow.spark.pandas_udf
• C. mlflow.sklearn.spark.udf
• D. mlflow.pyfunk.spark.udf

Correct answer: C

Explanation

The correct answer is C, as mlflow.sklearn.spark.udf allows the deployment of scikit-learn models in parallel. Option A is incorrect because it is indeed possible to deploy such models in parallel. Options B and D are related to other types of functions and do not specifically apply to scikit-learn models.