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Databricks · DB-MLP · Professional

Databricks Certified Machine Learning Professional

Validates advanced ML engineering and MLOps skills on Databricks including production ML pipelines, model lifecycle management, and deployment at scale. 59+ AI-generated practice questions with explanations. Free trial, pass guarantee.

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59 Questions
120min Time Limit
70/ 100 Pass Score
$200 Exam Fee

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 Development 47%

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

Model Lifecycle Management 43%

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 Deployment 10%

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

What to expect

multiple choice
100%

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.

Delivery Online proctored or test center
Retake policy No mandatory waiting period. Retake fee applies.
Validity 2 years
Career outcomes Senior ML Engineer, MLOps Lead, ML Architect, Principal Data Scientist
Renewal Recertification required every 2 years by taking the current exam version.
Study time ~120 hours
Official guide View on vendor site

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