What is the Databricks Certified Generative AI Engineer Associate exam?
The Databricks Certified Generative AI Engineer Associate exam is an official Databricks certification at the Associate level, in the Generative AI category. It checks whether you can work with generative AI concepts and tools inside the Databricks platform. The exam is built around three domains: the Databricks Platform, Data Engineering, and Analytics.
Passing the exam earns you the official Databricks Certified Generative AI Engineer Associate credential from Databricks. It suits people who already spend time building or supporting generative AI work on Databricks, rather than someone who has never used the platform. Databricks places this certification alongside its other Databricks credentials, so it fits naturally into a wider Databricks career path. Generative AI is a newer category for Databricks, sitting next to its longer-running data engineering, machine learning, and analytics certifications, and it reflects how much generative AI work now happens on top of existing Databricks data platforms.
How much does the Databricks Certified Generative AI Engineer Associate exam cost?
Databricks sets the official price for this exam at $200. Cyber VK sells the same official voucher for $179.99, which saves you $20.01, or 10%, off the official price. It is the same voucher Databricks issues, just at a lower price, so you get the same exam and the same credential.
You can buy your Databricks Certified Generative AI Engineer Associate exam voucher through Cyber VK. The voucher is delivered to your email, and it stays valid for 12 months from the date you buy it. That gives you room to pick a study pace and a sitting date that actually suits you, rather than rushing to use the voucher before it expires.
What is on the Databricks Certified Generative AI Engineer Associate exam?
Databricks groups the content of this exam into three domains. The table below summarizes what each one covers, based on the domain names Databricks publishes for this certification. Use it as a checklist while you study, and come back to it once you have finished a first pass through the material.
| Domain | What it covers |
|---|---|
| Databricks Platform | Working inside the Databricks Data Intelligence Platform to support generative AI work, including the core workspace tools and services you use day to day. |
| Data Engineering | Preparing, moving, and managing the data that feeds generative AI applications, using Databricks data engineering tools and practices. |
| Analytics | Analyzing data and reviewing application results to support decisions on generative AI projects built on Databricks. |
Because generative AI applications depend heavily on the data behind them, expect the Data Engineering and Analytics domains to connect closely with the Databricks Platform domain, rather than standing apart as separate skill sets. Strong candidates tend to move between the three domains naturally, since real Databricks work rarely stays inside just one of them.
How hard is the Databricks Certified Generative AI Engineer Associate exam?
Databricks has not published the question count, time allowed, or passing score for this exam. Treat any page that states those numbers with confidence as unconfirmed, and check the official Databricks exam guide before you book, since Databricks can update exam details without much notice.
As an Associate-level exam, it expects solid working knowledge rather than deep specialist expertise. If you already use the Databricks Platform for data engineering or analytics work, and you have started applying generative AI concepts in that environment, the exam should feel manageable. If generative AI on Databricks is new to you, budget more study time before you book a sitting, since the domains build on practical, hands-on familiarity rather than pure theory. Reading about the platform is a starting point, not a substitute for using it.
How to prepare for the Databricks Certified Generative AI Engineer Associate exam
- Week 1: Read the official Databricks exam guide for Databricks Certified Generative AI Engineer Associate and map its stated topics against the Databricks Platform, Data Engineering, and Analytics domains, so you know where your gaps are.
- Week 2: Work through Databricks documentation and any official training for the Databricks Platform, focusing on the workspace tools that generative AI projects rely on.
- Week 3: Study data engineering practices on Databricks, since generative AI applications depend on clean, well-managed data pipelines feeding them.
- Week 4: Study the analytics side of the platform, including how to review, interpret, and act on the output of generative AI applications.
- Week 5: Try the free Databricks Certified Generative AI Engineer Associate practice questions on Cyber VK to check your understanding across all three domains, then go back and revisit any weak spots you find.
- Week 6: Do a final review of your notes and any flagged topics, rest well the day before, and book your official sitting.
Cyber VK offers twenty-nine free Databricks Certified Generative AI Engineer Associate practice questions so you can check your knowledge across all three domains before exam day, at no cost.
Common mistakes people make
Some candidates lean on general generative AI knowledge from outside Databricks and skip the official Databricks exam guide, then get caught out by questions that are specific to the Databricks Platform. Others spend most of their study time on platform tools and give little attention to the Analytics domain, even though it still counts toward the pass.
A common scheduling mistake is buying a voucher and then leaving it unused for months. The voucher Cyber VK sells is valid for 12 months, so pick a target sitting date early and study back from it. Finally, some people underestimate how much hands-on Databricks experience matters here. Reading alone rarely prepares you as well as time spent actually working in the platform, on real data engineering and analytics tasks. Skipping practice questions is another common gap, since they show you how the domains get tested, not just what they cover.
Is the Databricks Certified Generative AI Engineer Associate certification worth it?
If your work touches generative AI on Databricks, or you want it to, this certification is a clear way to show you can apply that knowledge in practice, not just describe it. It signals that you understand the Databricks Platform, Data Engineering, and Analytics well enough to support generative AI projects on the platform.
It also sits alongside other Databricks credentials Cyber VK offers vouchers for, including the Databricks Certified Data Engineer Associate, the Databricks Certified Data Engineer Professional, the Databricks Certified Associate Developer for Apache Spark, the Databricks Certified Machine Learning Professional, the Databricks Certified Machine Learning Associate, and the Databricks Certified Data Analyst Associate. If you plan to build a wider set of Databricks certifications over time, this one is a natural fit alongside those. Whether it is worth it for you comes down to how central Databricks and generative AI are to your current or planned role, and how much you expect that role to keep growing.