What is the Databricks Certified Machine Learning Professional exam?
The Databricks Certified Machine Learning Professional is the advanced-level certification that validates your ability to build, deploy, and operationalize production-grade machine learning systems on the Databricks Lakehouse Platform — with deep focus on MLOps, model monitoring, and CI/CD for ML.
Questions: 60 (multiple-choice, scored)
Duration:120 minutes
Passing score: ~70% (not officially published)
Cost: $200 USD
Validity: 2 years
Prerequisite: None required (Associate cert or equivalent experience strongly recommended)
Builds on: Databricks Certified Machine Learning Associate
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✅ MLOps-heavy practice matching the real exam's weighting — Model Development and MLOps together make up 88% of the exam
✅ 3 formats included: downloadable PDF, browser-based Online Test Engine, and AI-Assisted mode
✅ MLflow-focused scenarios — model registry, tracking, staging/production transitions, and CI/CD for ML pipelines
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Structured around the 3 official exam domains:
Model Development — 44% — advanced model training pipelines, hyperparameter tuning at scale, algorithm selection, evaluation strategies for production models
MLOps — 44% — MLflow model registry workflows, CI/CD for ML, model monitoring, drift detection, automated retraining, governance
Model Deployment — 12% — production-scale batch, streaming, and real-time serving with Mosaic AI Model Serving
Model Development and MLOps carry equal, dominant weight — this exam expects fluency in operationalizing ML, not just building models.
ML engineers responsible for production model pipelines and MLOps at scale
Associate-certified professionals advancing to the top Databricks ML credential
Data scientists moving into ML engineering roles requiring MLflow expertise
Anyone searching for "MLflow certification" or advanced "certification in machine learning" on Databricks specifically
Download or launch instantly — PDF for offline review, Online Test Engine for realistic 120-minute simulation
Practice MLOps-heavy scenarios — model registry stage transitions, CI/CD pipeline design, drift monitoring, automated retraining triggers
Use AI-Assisted mode for instant explanations on complex MLflow, Hyperopt, and deployment questions
Benchmark readiness with scored practice attempts mapped to the real domain weighting before booking your exam
Databricks doesn't publish a formal exam code; the certification is referenced by its full name.
60 multiple-choice questions in 120 minutes.
Not officially disclosed by Databricks, but widely reported to be around 70%.
Not formally required, but strongly recommended — the Professional exam assumes Associate-level MLflow and model development knowledge and builds on it significantly.
Not exactly — MLflow is a core tool tested throughout this exam (tracking, registry, deployment), but the certification itself covers the full Databricks ML lifecycle, not MLflow in isolation.
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Everything you need to know about the Databricks Certified Machine Learning Professional certification
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Updated July 21, 2026
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