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DATABRICKS

Databricks Certified Machine Learning Professional

Databricks Certified ML Professional

The Databricks Certified Machine Learning Professional certification validates your ability to design, implement, and manage enterprise-scale machine learning solutions using advanced Databricks platform capabilities. It is for experienced ML engineers who build scalable pipelines, implement MLOps practices, and deploy production-ready models. Earning it demonstrates you can deliver comprehensive monitoring, testing, and deployment at scale.

Exam formatMultiple choice
Duration120 minutes
DeliveryDatabricks
Free questions230

Content last reviewed 30 July 2026 · Up to date

The certification

What Databricks Certified Machine Learning Professional proves, and what it asks of you

What this certification covers, who it is written for, and what the exam itself looks like on the day.

3domains
11objectives
63concepts
$200exam fee
What it is

What this certification is

What it validates, who it is written for, and the experience it assumes.

About this certification

The Databricks Certified Machine Learning Professional certification assesses your ability to design, implement, and manage enterprise-scale machine learning solutions using advanced Databricks platform capabilities. This includes 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 exam also evaluates your expertise in MLOps practices, including testing strategies, environment management with Declarative Automation Bundles, automated retraining workflows, and monitoring using Lakehouse Monitoring for drift detection. You will be assessed on your ability to implement deployment strategies, custom model serving, and model rollout management.

Individuals who pass this certification 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.

Who it’s for

This certification is for machine learning engineers and data scientists who are responsible for building, deploying, and maintaining machine learning models in production on the Databricks platform. It is designed for practitioners who need to manage enterprise-scale ML workloads and implement MLOps best practices. You should have hands-on experience with Databricks Machine Learning, including building pipelines, managing experiments, and deploying models. The exam assumes familiarity with advanced features like MLflow, Feature Store, and Lakehouse Monitoring.

Recommended experience

1+ years of hands-on experience performing the machine learning tasks outlined in the exam guide. Building scalable ML pipelines with SparkML; Implementing distributed training and hyperparameter tuning; Using advanced MLflow features for experiment tracking and model management; Applying Feature Store concepts for automated feature pipelines; Implementing MLOps practices including testing, monitoring, and deployment

The syllabus

What you’ll learn

Every domain and objective Databricks measures, with the weight they carry on the exam.

The official Databricks exam outline · checked 30 July 2026 · See the source

Model Development
  • Using Spark ML
  • Scaling and Tuning
  • Advanced MLflow Usage
  • Advanced Feature Store Concepts
4 objectives · 77 free questions · 17 pages
ML Ops
  • Model Lifecycle Management
  • Validation Testing
  • Environment Architectures
  • Automated Retraining
  • Drift Detection and Lakehouse Monitoring
5 objectives · 121 free questions · 26 pages
Model Deployment
  • Deployment Strategies
  • Custom Model Serving
2 objectives · 32 free questions · 7 pages
On the day

The exam itself

Everything Databricks publishes about sitting it, and nothing we inferred.

Prerequisites

No mandatory prerequisites — this certification has no required predecessor exam or credential.

CertificationDatabricks Certified Machine Learning Professional
Exam formatMultiple choice
Duration120 minutes
Questions59 scored questions
DeliveryDatabricks
LanguagesEnglish
Pricing$200
Certification levelProfessional
After you pass

Where this credential goes next

The path Databricks lays out, how the credential is kept, and where to book.

Step-by-step path to Databricks Certified Machine Learning Professional

Databricks Certified Machine Learning Professional badgeCredential earnedDatabricks Certified Machine Learning Professional Professional level certification
Renewal and maintenance

The Databricks Certified Machine Learning Professional certification is valid for two years. To recertify, you must take the current version of the exam. Stay current with the latest technologies and maintain your certification.

Learn more about renewal requirements
Lifecycle status

This certification is currently active and available. Databricks maintains this certification to validate current skills and industry relevance.

Exam status: ActiveMaintained by Databricks

Exam registration

Register for the exam through Databricks, Databricks’s authorized testing partner.

Schedule your exam

Visit the official Databricks certification page for exam policies and requirements.

View the official page
Your coach

And when you are serious, your coach Pip takes over

Your coach in the app reads what you have answered with the book closed and tells you one thing to do tonight. It will not count an answer you gave with the page open, and it will tell you when you are not ready.

See how the coach works
Before you book

Questions people ask

How does the Machine Learning Professional exam relate to the Machine Learning Associate exam?

The Professional exam is a higher-level certification that builds on the Associate level. While the Associate exam covers basic ML tasks, the Professional exam focuses on advanced, enterprise-scale ML engineering and MLOps. There is no formal prerequisite, but the Associate certification is a recommended foundation.

Is there a hands-on or lab component in the exam?

No. The exam consists of multiple-choice questions only. There is no hands-on lab or performance-based component.

What is the retake policy if I fail the exam?

Databricks does not publish a specific retake policy for this exam. You should review the exam terms and conditions or contact Databricks support for details on waiting periods between attempts.

Can I recertify by passing a different Databricks exam?

No. To recertify, you must take the current version of the Machine Learning Professional exam. Passing a different exam does not renew this certification.

What job roles does this certification map to?

This certification is designed for machine learning engineers and data scientists who build, deploy, and maintain ML models in production on Databricks. It is also relevant for MLOps engineers and data science managers overseeing ML pipelines.

Are there any test aides allowed during the exam?

No. Test aides are not allowed. The exam is closed-book and you cannot use external resources.

How soon will I receive my exam results?

Databricks does not publish a specific timeline for score reports. You should check the exam delivery platform or contact Databricks support for information on when results are available.

Information freshness · Content last reviewed on 2026-07-30 Up to date
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