Databricks certifications
Eight Databricks certifications across data engineering, analytics, machine learning and generative AI, prepared exam by exam with practice tests that follow each exam guide and an AI tutor that explains every answer in your style.
200 free credits · No credit card required
Last updated
Certification paths
Databricks certifications follow the jobs people do on the platform: data engineers, analysts, machine learning engineers and the engineers building AI agents. Each starts at Associate; data engineering and machine learning go on to Professional. Select any certification to see its exam.
Data engineering
Pipelines, Spark and the lakehouse
Data analysis
SQL, dashboards and Genie
Machine learning
Models from training to production
Generative AI
LLM apps and AI agents
All Databricks certifications
Filter by track or level. Every card shows the exam you’ll sit, straight from its page on databricks.com: how many scored questions, how long it runs and how long it stays valid.
8 certifications
AssociateData engineering
Data Engineer
Build pipelines on Databricks: ingestion and loading, transformation and modeling, Lakeflow Jobs, CI/CD, monitoring, and governance and security.
Recommended: Hands-on data engineering on Databricks
AssociateData engineering
Spark Developer
The Spark DataFrame API and Spark SQL: architecture, applications, tuning, Structured Streaming, Spark Connect and the pandas API on Spark.
Recommended: 6+ months of hands-on Spark development
ProfessionalData engineering
Senior Data Engineer
Advanced data engineering in Python and SQL: data quality, sharing and federation, monitoring, cost and performance, security, governance, deployment and data modeling.
Recommended: Hands-on data engineering on Databricks
AssociateData analysis
Data Analyst
Query, analyze and present data with Databricks SQL: SQL warehouses, dashboards and visualizations, AI/BI Genie spaces, data modeling and securing data.
Recommended: 6+ months of hands-on data analysis
AssociateMachine learning
Machine Learning Engineer
Machine learning on Databricks: ML workflows, model development and deployment.
Recommended: 6+ months of hands-on machine learning
ProfessionalMachine learning
Senior Machine Learning Engineer
Model development, MLOps and deployment of machine learning at scale on Databricks.
Recommended: 1+ year of hands-on machine learning
AssociateGenerative AI
Generative AI Engineer
Design, build and deploy LLM applications on Databricks: data preparation, development, deployment, governance, evaluation and monitoring.
Recommended: 6+ months building generative AI solutions
AssociateGenerative AI
Context Engineer
Design and govern what AI agents see at inference time: system prompts, retrieval with AI Search, memory with Lakebase and MLflow, tools through MCP, and governance in Unity Catalog.
Recommended: 6+ months building context for AI agents
Exam details from each certification’s page on databricks.com, checked weekly for changes; last updated November 7, 2026. Every exam costs $200, is proctored online or at a test center, and may include unscored questions, with time added for them. Databricks doesn’t publish passing scores on its exam pages. Databricks and the names of its certifications are trademarks of Databricks, Inc.
Built for Databricks exams
Databricks exams follow each exam guide’s sections closely and ask about the platform as it works today. Every tool works toward the exam you’ll actually sit.
Practice exams weighted like each exam guide and timed like the real thing: 90 minutes for Associate, 120 for Professional.
Learn more: Timed practice examsPractice the pipeline, SQL and model tasks each exam guide lists, in guided labs, until they feel routine.
Learn more: Hands-on labsWork through situations from data and AI teams, and see what each design choice leads to.
Learn more: Real-world scenariosGot one wrong? The tutor explains why, in the way you learn best, and points to the exam guide section behind it.
Learn more: An AI tutor on every answerA readiness score across every section of the exam guide, so you book the exam when the numbers say you’ll pass.
Learn more: Know when you’re readyFAQs
Find quick answers or contact our support team.
The Associate exam for your role: Data Engineer Associate for pipelines, Data Analyst Associate for SQL and dashboards, Machine Learning Associate for models, and Generative AI Engineer or Context Engineer Associate for AI applications and agents. The Professional exams build on them.
Associate exams give you 90 minutes for 45 scored questions (48 for Machine Learning Associate). Professional exams give you 120 minutes for 59. Exams may also include unscored questions, with extra time added for them.
$200 per attempt. You can take it online with a proctor or at a test center.
No prerequisites. Databricks highly recommends its related training, and each exam guide lists the hands-on experience it expects.
Two years. To recertify, you take the current version of the exam.
Certifications are proctored exams that cost $200 and measure what a job role needs. Databricks’ badges are free, unproctored assessments of what you’ve learned on a topic, such as generative AI.
Yes. The free plan includes 200 credits you can spend across the platform, with no credit card required. Upgrade to Pro whenever you want unlimited practice.
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