Databricks Certified Machine Learning Professional Questions and Answers

200 questions organized by topic with detailed explanations

Databricks

MLP

200 questions

3 topics

Updated May 2026

Model Development

88 questions25 easy41 medium22 hard~44% of exam

What PySpark data type should be used to store dense embedding vectors in a Databricks Feature Store feature table?A data scientist wants to deploy a custom Python class as a model using MLflow pyfunc. Which method must the class imple...A machine learning engineer needs to include a custom helper module `preprocessing_utils.py` when logging a scikit-learn...

ML Ops

88 questions22 easy43 medium23 hard~44% of exam

What does Databricks MLOps Stacks implement for a machine learning project?A data profiling monitor is attached to a Delta table containing timestamped rows of feature data. Which profile type sh...A data scientist wants to enable joining inference table rows with external ground truth labels. Which field in the infe...

Model Deployment

24 questions9 easy11 medium4 hard~12% of exam

An ML engineer updates a custom model serving endpoint to serve a new model version. How does Databricks handle the tran...An ML team wants to deploy a PyTorch transformer model for real-time inference. The model weighs 8 GB and requires GPU a...Which model types can be deployed using Mosaic AI Model Serving?

All Questions

#	Question	Topic	Difficulty
1	An ML engineer updates a custom model serving endpoint to serve a new model version. How does Databr...	Model Deployment	medium
2	What does Databricks MLOps Stacks implement for a machine learning project?	ML Ops	easy
3	A data profiling monitor is attached to a Delta table containing timestamped rows of feature data. W...	ML Ops	medium
4	A data scientist wants to enable joining inference table rows with external ground truth labels. Whi...	ML Ops	medium
5	A team's automated retraining job uses Lakeflow Jobs and detects that the model's performance has de...	ML Ops	hard

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