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Databricks Exam Syllabus

Machine Learning Professional syllabus, skills measured, and exam topics

"Achieve Databricks Machine Learning Professional Certification to validate your expertise in machine learning and data science."

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Exam details

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Total number of scored questions 59
Question types Multiple choice
Delivery Method Online or test center
Prerequisites None, but related training highly recommended
Recommended experience 1+ years of hands-on experience performing the machine learning tasks outlined in the exam guide
Recertification Recertification is required every two years to maintain your certified status. To recertify, you must take the current version of the exam. Please review the “Getting Ready for the Exam” section below to prepare for your recertification exam.
Unscored content Exams may include unscored items to gather statistical information for future use. These items are not identified on the form and do not impact your score. Additional time is factored into the exam to account for this content.

What to know before you study

These sections explain the role, audience, and exam framing behind the outline.

Databricks Certified Machine Learning Professional

  • The Databricks Certified Machine Learning Professional certification exam assesses an individual's ability to design, implement, and manage enterprise-scale machine learning solutions using advanced Databricks platform capabilities. This includes proficiency in building scalable ML pipelines with SparkML, implementing distributed training and hyperparameter tuning, leveraging advanced MLflow features, and utilizing Feature Store concepts for automated feature pipelines. The certification exam evaluates expertise in MLOps practices, including testing strategies, environment management with Databricks Asset Bundles, automated retraining workflows, and monitoring using Lakehouse Monitoring for drift detection. Additionally, test-takers are assessed on their ability to implement deployment strategies, custom model serving, and model rollout management. Individuals who pass this certification exam can be expected to perform advanced machine learning engineering tasks at enterprise scale, implementing production-ready ML systems with comprehensive monitoring, testing, and deployment practices using the full feature set of Databricks.
  • Model Development - 44%
  • ML Ops - 44%
  • Model Deployment - 12%

Getting Ready for the Exam

  • Review the Machine Learning Professional Exam Guide to understand what will be on the exam
  • Take the related training outlined in the Exam Guide
  • Register for the exam
  • Review the technical requirements and run a system check
  • Review the exam guide again to identify any gaps
  • Study to fill in the gaps
  • Take your exam!
  • The certification exam will assess the tester’s ability to use SQL. In all cases, the SQL in this certification exam adheres to ANSI SQL standards.

Registration

  • To register for a certification exam, please log in or create an account on our exam delivery platform .