Databricks Machine Learning Certification

The Databricks Machine Learning Certification is a free intermediate-level, 20-minute skill test from Science of Apps. It tests readiness for the Databricks Certified Machine Learning Associate exam and ML work on Databricks — workspace, data preparation and features, model development with Spark ML and AutoML, MLflow tracking and Models in Unity Catalog, and deployment, serving and monitoring — written to the Databricks ML documentation, Feature Store documentation, MLflow documentation and the Databricks certification page for 2026. Score 70% or more on its 20 questions to earn a verifiable Databricks Machine Learning Proficiency certificate (SOA-DML). Every question is based on published standards and research — including Databricks machine learning documentation (Databricks), MLflow documentation (MLflow (Linux Foundation)), Feature engineering and serving (Feature Store in Unity Catalog) (Databricks) — and each answer is explained with its source.

Science of Apps offers a free Databricks Machine Learning Certification, updated for 2026 and 2027. It measures workspace, data preparation and features, model development with spark ML and AutoML, MLflow tracking and models in unity catalog and deployment, serving and monitoring and gives instant results with a shareable certificate.

Read the four skill areas on this page, then take the 20-minute test online — no fee, course or sign-up. You see every answer explained when you finish. Score 70% or more and you get a Databricks Machine Learning Proficiency certificate straight away, on screen, as a PDF and by email, with a credential ID anyone can verify.

Yes. The questions are original scenarios written by Science of Apps, and each one is based on a public source you can read: Databricks machine learning documentation (Databricks); MLflow documentation (MLflow (Linux Foundation)); Feature engineering and serving (Feature Store in Unity Catalog) (Databricks); Mosaic AI Model Serving (Databricks). The source is shown under each question and linked in the answer review. Science of Apps doesn't copy questions from other tests.

Four skill areas with five questions each, drawn from a bank of 10 per area so a retake brings new questions: Workspace, Data Preparation and Features (Runtime and Features); Model Development with Spark ML and AutoML (Pipelines and Tuning); MLflow Tracking and Models in Unity Catalog (Runs and Registry); Deployment, Serving and Monitoring (Serving, Batch and Drift). Every question is an original scenario written to the 2026–2027 standard, with the published source named under it.

Machine learning engineer, Data scientist on Databricks, MLOps engineer, Data engineer supporting ML and Analytics engineer moving into ML. It suits anyone who wants a quick, verifiable way to show Databricks Machine Learning knowledge in 2026 and 2027, from students and career switchers to experienced professionals.

It covers using Databricks for machine learning: Databricks Runtime for ML, AutoML, feature engineering with the Feature Store in Unity Catalog, model development and tuning, MLflow experiment tracking and model management, and deploying models for batch and real-time inference.

MLflow is an open-source platform, deeply integrated into Databricks, for tracking experiments (parameters, metrics and artefacts), packaging models, and managing model versions and aliases in a registry such as Models in Unity Catalog.

Yes. The test is online, in English and free everywhere — people take it from India, the US, the UK, Europe, Africa, Latin America and Asia-Pacific. Your certificate is dated with your own local date and can be verified from anywhere at scienceofapps.com/certification/verify/.

20 questions — 5 from each of 4 skill areas — with a 20-minute limit. You need 70% (14 of 20) to pass and 90% for distinction.

We rate it Intermediate: assumes hands-on experience in the role. It has 20 scenario questions — 5 from each of 4 skill areas — and a 20-minute limit. You need 70% (14 of 20) to pass and 90% for distinction.

Nothing. There is no fee to take a test, to receive the certificate, to have it emailed or to verify it, and no sign-up.

On our server, not in your browser. The answers never reach the page until you submit, so a certificate can only be earned by passing. Each certificate gets a unique credential ID stored by Science of Apps.

You see your score for each area and every question with the correct answer and why, with the published source behind it. You can retake after 30 minutes, and the retake draws questions you haven't seen yet.

No. Every certificate is dated, so it always shows when you passed. Retake a test any time for a newer date or a higher score.

Yes. After you pass, Add to LinkedIn opens the Licenses & certifications form with the certificate name, Science of Apps as the issuer, the issue date, your credential ID and the verification link filled in. You can also download it as a PDF or PNG, and it's emailed to you as a PDF.

Every certificate has a credential ID and a QR code. Scanning it, or entering the ID at scienceofapps.com/certification/verify/, shows the holder's name, the certification, the score and the issue date from our records.

No. They are Science of Apps' own assessments of applied skill. They aren't issued by a university or standards body, and they work best alongside a portfolio that shows the skills in real work.