Exam Databricks-Machine-Learning-Professional Topic 4 Question 155 Discussion

Actual exam question for Databricks's Databricks-Machine-Learning-Professional exam
Question #: 155
Topic #: 4
A Machine Learning Engineer is responsible for maintaining a fraud detection model deployed on Databricks. They want to implement a retraining pipeline that automatically starts when the model's F1 score drops below a threshold or when input feature distributions change significantly.
Which two actions should the engineer take to implement this automated retraining? (Choose two.)

Suggested Answer: D,E Vote an answer

Databricks Lakehouse Monitoring stores model performance and data drift metrics in Delta tables, which can be monitored using Databricks SQL alerts. By creating alerts on F1 score degradation or significant feature drift and configuring those alerts to send webhook notifications, the engineer can automatically trigger a retraining job whenever predefined conditions are met, enabling event-driven, automated retraining aligned with MLOps best practices.

by Leo at Jun 22, 2026, 10:15 AM

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