Model Development Model Development 44%

Model DevelopmentModel Development
Proficiency in building scalable ML pipelines with SparkML; Implementing distributed training and hyperparameter tuning; Leveraging advanced MLflow features; Utilizing Feature Store concepts for automated feature pipelines

ML Ops ML Ops 44%

ML OpsML Ops
Expertise in MLOps practices; Testing strategies; Environment management with Databricks Asset Bundles; Automated retraining workflows; Monitoring using Lakehouse Monitoring for drift detection

Model Deployment Model Deployment 12%

Model DeploymentModel Deployment
Implementing deployment strategies; Custom model serving; Model rollout management

Question TypesMultiple Choice, Multiple Select

FormatLinear

Online ProctoringAvailable

ID RequirementsGovernment-issued photo ID with full name. Name must match Webassessor registration exactly.

RenewalRequired -- Certifications valid for 2 years. Renew by retaking the current version of the exam.

PrerequisitesDatabricks Certified Machine Learning Associate recommended (recommended)

Retake Policy14-day waiting period after failed attempt. Full exam fee required for retake.

LanguagesEnglish

Databricks Certified Machine Learning Professional (ML Professional) Exam Blueprint