Databricks-Machine-Learning-Professional Exam Dumps | A team is building a machine learning pipeline, which includes feature engineering, model training, model

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Question 15/96

A team is building a machine learning pipeline, which includes feature engineering, model training, model evaluation, and model deployment. Over the last year, the project has grown a lot, with multiple contributors working on it. Currently, they are manually testing their pipelines and functions. However, they are looking to build out a MLOps process and want to organize their unit tests. Which approach to organizing functions and unit tests should they take?

A. Organize functions and unit tests together in multiple notebooks, grouping them by feature or component.

B. Write unit tests only after deployment to avoid slowing down development.

C. Place all functions and their corresponding unit tests in a single notebook or script.

D. Separate functions into dedicated modules and place all unit tests in a separate test suite or notebook.

Question 15/96

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