What is the Databricks Certified Generative AI Engineer Associate exam?
The Databricks Certified Generative AI Engineer Associate validates your ability to design, build, deploy, and monitor LLM-powered applications on the Databricks Lakehouse Platform — covering RAG pipelines, prompt engineering, Vector Search, Model Serving, and MLOps for generative AI.
Questions: 45 (multiple-choice, scored)
Duration: 90 minutes
Passing score: Not officially disclosed
Cost: $200 USD
Validity: 2 years
Prerequisite: None formally required
Heaviest domain: Application Development (30%)
Pass the Databricks Certified Generative AI Engineer Associate exam on your first attempt with TroyTec's verified practice questions, training material, and exam preparation resources — PDF, Online Test Engine, and AI-Assisted formats included.
Certification: Databricks Certified Generative AI Engineer Associate
Format: 45 multiple-choice questions
Duration: 90 minutes
Passing score: Not publicly disclosed
Exam cost: $200 USD
Delivery: Online, proctored (multiple languages available)
Validity: 2 years
Prerequisites: None required
Application Development — 30% — the heaviest domain: chaining, prompt engineering, RAG application design and build workflows
Assembling and Deploying Apps — 22% — putting components together and deploying LLM-enabled apps in production
Design Applications — 14% — architecting GenAI solutions for a given use case
Data Preparation — 14% — preparing and managing data for retrieval and fine-tuning, including Unity Catalog
Evaluation and Monitoring — 12% — evaluation metrics (task-specific benchmarks, not just "highest score wins"), monitoring deployed apps
Governance — 8% — the smallest domain, but still tested: responsible AI, access control, compliance
More than half the exam sits on Application Development and Deployment — this is a platform exam, not a general GenAI theory test. Fluency with the OpenAI API alone won't carry you; Unity Catalog, MLflow, and Mosaic AI Vector Search are where most candidates get caught out.
Engineers and developers building LLM/RAG applications who want a Databricks-specific credential
ML engineers expanding from traditional ML into generative AI workflows
Anyone searching for structured "databricks certified generative ai engineer associate training" or a "databricks certified generative ai engineer associate course" as an alternative to scattered free resources
Candidates who want realistic exam-format practice instead of relying on unverified "exam dumps"
Download or launch instantly — PDF for offline study, Online Test Engine for realistic 90-minute simulation
Practice domain-weighted questions concentrated on Application Development and Deployment, where the real exam concentrates its points
Use AI-Assisted mode to get instant, plain-language breakdowns of RAG design, chaining, and Vector Search questions
Review with confidence — every question is built and verified against the official exam guide, not scraped or copied
Databricks doesn't publish a formal exam code; the certification is referenced by its full name only.
45 multiple-choice questions in 90 minutes.
Most candidates underestimate the platform-specific depth — knowing generative AI concepts isn't enough; you need hands-on familiarity with Unity Catalog, MLflow, and Mosaic AI Vector Search.
No formal prerequisite, but hands-on practice building RAG applications and LLM chains on Databricks is strongly recommended.
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Everything you need to know about the Databricks Certified Generative AI Engineer Associate certification
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Updated July 11, 2026
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