Databricks Machine Learning Professional Question 93
Select 3A machine learning team is developing a CI/CD pipeline for deploying models to production. They want to ensure that their models meet quality standards and prevent regressions during updates. Which roles does automated testing play in this ML CI/CD pipeline?
- A
Validates the integrity and reliability of the data used for training and testing models
- B
Helps identify and prevent model performance regressions during updates
- C
Ensures that the model's predictions are explainable to end-users
- D
Checks the correctness of the feature engineering and transformation logic
- E
Guarantees that the deployed model will outperform all previous models
Show answer and explanation
Correct answers: A, B, D
Explanation
Automated testing in ML CI/CD pipelines is essential for maintaining the quality and reliability of models. It ensures data integrity, prevents regressions in performance, and checks the correctness of pipeline components like feature engineering. However, automated testing does not address explainability directly or guarantee performance superiority, as its goal is to validate consistency and adherence to predefined standards.
- A. Correct.
Automated testing can include tests for data validation, ensuring the training and testing data conform to expected schemas and distributions, which helps maintain model reliability.
- B. Correct.
Automated tests, such as performance regression tests, are crucial for ensuring that model updates do not degrade performance.
- C. Incorrect.
While explainability is important in machine learning, it is not typically the role of automated testing in a CI/CD pipeline.
- D. Correct.
Automated testing can include unit tests or integration tests for feature engineering and transformation logic, ensuring correctness in reproducible pipelines.
- E. Incorrect.
Automated testing cannot guarantee that a new model will always outperform previous models. It ensures adherence to defined quality standards but doesn't guarantee superiority.