216 practice questions for Databricks Certified Machine Learning Professional, with full explanations.
Every question comes with the correct answer, the reasoning behind it, and a short note on why each wrong option is wrong. Work through it once with the answers, then again with the questions-only copy under exam conditions.
- 216 questions mapped to the Machine Learning Professional exam guide
- Answers and explanations for every question, including the wrong options
- A questions-only PDF for timed practice runs
- Instant delivery by email the moment you check out
- Free monthly updates for as long as the exam is live
- Pass or your money back
A Machine Learning Professional attempt costs US$200. This pack is US$39, paid once.
Try 10 questions free before you buy.
Last updated September 2026 · 216 questions
What makes the Machine Learning Professional exam hard
Machine Learning Professional is widely called the hardest of the Databricks exams, and the rebuilt guide made that reputation official: it collapsed the old four domains into three and put 88% of the marks on model development and MLOps in equal halves.
The format is 59 scored questions in 120 minutes, all Python, and the questions assume a candidate has taken a model from a notebook to a monitored production endpoint more than once.
Model Development covers when Spark ML beats single-node frameworks, distributed hyperparameter tuning with Optuna and Hyperopt, Pandas UDFs for parallel training, and advanced feature engineering. MLOps covers MLflow at depth: experiments, model signatures, the Unity Catalog model registry, model lineage, Lakeflow Jobs for retraining, CI/CD for ML code, and Lakehouse Monitoring for drift. Model Deployment at 12% covers batch, streaming and Model Serving with traffic splitting. The questions are long scenarios with code, and the wrong options usually work at small scale and fail in production.
About the exam
The Databricks Certified Machine Learning Professional validates advanced machine learning engineering on the Databricks Data Intelligence Platform: scalable model development, MLOps with MLflow, Unity Catalog and Lakehouse Monitoring, and model deployment. There are no formal prerequisites; Databricks recommends the Machine Learning Associate and at least a year of hands-on ML engineering on Databricks.
Exam domains
- Model Development: 44%
- MLOps: 44%
- Model Deployment: 12%
59 scored multiple choice questions, 120 minutes, passing score not published by Databricks (commonly cited as 70%), US$200 per attempt, online proctored or test centre, certification valid for two years.
Reviews
There are no reviews yet.