OpenAI Certification Practice Questions
We are building an MCQ practice bank for OpenAI’s certification exam. OpenAI has not yet published the exam domains, so there are no questions here yet. Follow along on the blog and we will map our content to the official blueprint as soon as it is released.
The full question bank is in final review. Sign-ups open at launch. Our study guides and the research behind the method are live today.
Three reasons learners actually pass.
The platform is built around retrieval practice: what the published research finds works, and what works in front of the examiner.
Mapped to the Official Blueprint
OpenAI has not yet released the exam domains or their weightings. When it does, we will organise every question against that blueprint rather than guessing at the structure in advance.
Track Progress by Domain
Our other qualifications show mastery topic by topic so you can see where revision time is best spent. The OpenAI bank will work the same way once the exam structure is published.
An Explanation With Every Answer
Every question we write carries a detailed explanation of why the answer is right. The reported emphasis on judgement in this exam makes the reasoning matter more than the recall.
From landing here to passing the paper.
You're answering real questions before you finish reading this page. No content gating and no pre-assessment funnel.
We Wait for the Blueprint
OpenAI has partnered with ETS on the psychometric design and Credly by Pearson on badging. Until the exam domains are published there is nothing reliable to practise against, so we are not going to invent one.
We Build the Bank
Once the domains and weightings are public, we write questions against them at all three difficulty levels, with an explanation on every answer.
You Practise and Track Progress
At launch you will get a free unit with no card required, a dashboard showing mastery by domain, and the rest of the bank on subscription.
Active recall is the literature.
Decades of cognitive-science research find that retrieval practice (answering questions you might get wrong) produces more durable learning than re-reading or highlighting. We built a question bank disciplined enough to use it.