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Databricks · DB-MLP · Professional

Databricks Machine Learning Professional — Practice Questions and Mock Exam

Practice real DB-MLP questions, never dumps. Alex explains every answer, and your readiness score tells you when you're ready to pass.

59Questions
120minTime Limit
70/ 100Pass Score

Checked against Databricks · July 2026Current exam version

About the exam

The Databricks Certified Machine Learning Professional exam targets senior practitioners who build production ML systems at scale. It covers advanced model development techniques, MLOps lifecycle management including CI/CD and monitoring, and production deployment strategies. Nearly half the exam focuses on model development depth, while MLOps practices make up the other major portion.

What's on the exam

The exam consists of 59 scored multiple-choice questions to be completed in 120 minutes. No test aids are allowed. Available in English only. Unscored pilot questions may appear. Databricks does not publish an official passing score. The displayed score is a conservative estimate based on industry standards.

Model Development44%

Advanced model development, distributed training, feature engineering at scale, experiment design, hyperparameter optimization with Ray/Optuna, and custom model architectures.

ML Ops44%

MLOps practices, CI/CD for ML, Databricks Asset Bundles for ML, model testing strategies, A/B testing, model monitoring, drift detection, and pipeline automation.

Model Deployment12%

Production model serving, batch vs real-time inference, scaling serving endpoints, and deployment automation.

SourceDatabricks exam page

What to expect

Multiple Choice100%

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Practice real DB-MLP questions

Five sample questions from our Databricks Certified Machine Learning Professional bank. Answer one — Alex, your AI tutor, explains the why. Real prep, never dumps.

Where candidates struggle

This exam expects deep MLOps knowledge. Know Databricks Asset Bundles for ML project deployment, understand distributed hyperparameter tuning with Ray and Optuna, and be prepared for scenario-based questions about model drift detection and retraining strategies. The Model Deployment section is only 10% but tests production-critical knowledge about serving endpoint configuration and scaling.

Exam logistics

Registration fee is $200 USD. Available in English only. No prerequisites required, though 1+ years experience is recommended. Certification is valid for 2 years.

Exam fee$200
DeliveryOnline proctored or test center
Retake policyNo mandatory waiting period. Retake fee applies.
Validity2 years
Career outcomesSenior ML Engineer, MLOps Lead, ML Architect, Principal Data Scientist
RenewalRecertification required every 2 years by taking the current exam version.
Study time~120 hours
Official guideView on vendor site

SourceDatabricks exam page

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