You can see it againUnder pressure people bring back shapes and positions long after the wording has gone.
Picture superiority · Shepard 1967, Standing 1973
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.
Content last reviewed 30 July 2026 · Up to date
What this certification covers, who it is written for, and what the exam itself looks like on the day.
What it validates, who it is written for, and the experience it assumes.
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.
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.
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
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
Everything Databricks publishes about sitting it, and nothing we inferred.
No mandatory prerequisites — this certification has no required predecessor exam or credential.
The path Databricks lays out, how the credential is kept, and where to book.
Step-by-step path to Databricks Certified Machine Learning Professional
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 requirementsThis certification is currently active and available. Databricks maintains this certification to validate current skills and industry relevance.
Register for the exam through Databricks, Databricks’s authorized testing partner.
Schedule your examVisit the official Databricks certification page for exam policies and requirements.
View the official pageYour 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 worksThe 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.
No. The exam consists of multiple-choice questions only. There is no hands-on lab or performance-based component.
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.
No. To recertify, you must take the current version of the Machine Learning Professional exam. Passing a different exam does not renew this certification.
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.
No. Test aides are not allowed. The exam is closed-book and you cannot use external resources.
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.
Every domain, every objective, and every concept Databricks measures — each one written out.





Every objective below is a page you can open and practise now, without an account.
The official Databricks exam outline · checked 30 July 2026 · See the source
In front of every objective the practice pages are already there, free and without an account. This is one objective, opened.
22 questions on this objective, five to a page. Every range above is a real page, open now, with no account.
The curriculum tells you what is on the exam. Proving you know it is a different job — and it is the one the closed-book run does.
The whole bank is open. 5 questions to a page, every answer explained, and a discussion thread on each one.
Every objective, and every page range, is a link — so you can pick up exactly where you left off.
Short enough to finish, long enough to matter.
Not only which one is right — why the others are wrong.
Ask, answer, and vote. Every question has its own thread.
These are not trivia. Each one is written against a concept in the book, so when you get one wrong there is somewhere to go and find out why.

The pages shown here come from our AI-900 book — an example of how each concept is written in plain language and, where the idea needs one, drawn as a full page you can take in at a glance.





Three reasons, and each one is a real finding rather than a slogan.
You can see it againUnder pressure people bring back shapes and positions long after the wording has gone.
Picture superiority · Shepard 1967, Standing 1973
The whole idea at onceWhere it starts, what happens in the middle, what comes out, and the mistake to avoid.
Multimedia principle · Mayer
The look-alikes sit togetherThe pairs the exam tests are drawn side by side, so the difference is seen, not told.
Dual coding · PaivioYou are never asked to read a poster here — only to see how one is built. After that, every other page is legible at a glance.

The idea as a sequence, followed with a finger before a word is read.
What it is, how the machine learns it, when it is the right tool.
The distinction the exam tests, given its own box instead of buried in prose.
The sentence to carry into the exam room.
This is the part that teaches. The illustration and the written explanation stay where they are while you work, so a scenario stops being a memory test and becomes something you can simply look at.
A smartphone uses AI to unlock when the owner looks at the camera. Which AI capability is being used?

The same questions come back with the book closed — that run is the one that counts. After it, your coach picks one thing for tonight, sized to the time you have, and brings pages back before you lose them.
Testing effect · Roediger & Karpicke 2006 · spacing effect · Cepeda et al. 2006
Where the exam is defined, scheduled and scored.
We link to them rather than repeat them, so nothing here goes stale behind them.
We build from the official skills outline, not from a summary of it — 11 objectives, 63 concepts written under them, and free questions against every one. When Databricks changes the outline, this page changes with it.
That is the only question worth answering the night before, and no link answers it. You answer it by taking the questions with the book closed, and seeing what comes back.