Databricks Certified Machine Learning Professional Databricks Machine Learning Professional Exam Practice Test

A machine learning engineer wants to view all of the active MLflow Model Registry Webhooks for a specific model.

They are using the following code block:

Which of the following changes does the machine learning engineer need to make to this code block so it will successfully accomplish the task?

A machine learning engineer is using the following code block as part of a batch deployment pipeline:

Which of the following changes needs to be made so this code block will work when the inference table is a stream source?

Which of the following describes the purpose of the context parameter in the predict method of Python models for MLflow?

Which of the following is a simple statistic to monitor for categorical feature drift?

A machine learning engineering team has written predictions computed in a batch job to a Delta table for querying. However, the team has noticed that the querying is running slowly. The team has already tuned the size of the data files. Upon investigating, the team has concluded that the rows meeting the query condition are sparsely located throughout each of the data files.

Based on the scenario, which of the following optimization techniques could speed up the query by colocating similar records while considering values in multiple columns?

A data scientist would like to enable MLflow Autologging for all machine learning libraries used in a notebook. They want to ensure that MLflow Autologging is used no matter what version of the Databricks Runtime for Machine Learning is used to run the notebook and no matter what workspace-wide configurations are selected in the Admin Console.

Which of the following lines of code can they use to accomplish this task?

Which of the following MLflow operations can be used to delete a model from the MLflow Model Registry?