What is the AI-900 Microsoft Azure AI Fundamentals exam?
The AI-900 Microsoft Azure AI Fundamentals exam, exam code AI-900, is a Microsoft certification exam at the Fundamental level. It sits in the Artificial Intelligence category and checks whether you understand core AI and machine learning ideas along with the AI services available on Azure.
This exam does not test coding skills. It is built for people who want to show they understand what AI can do, how machine learning works at a basic level, and how Azure supports AI workloads such as vision, language, and generative AI. There are no formal prerequisites, though basic familiarity with cloud concepts helps.
Students, business users, analysts, and IT professionals all sit this exam. Some use it as a first look at AI before choosing a specialty. Others use it to add an AI credential to an existing career in data, software, or IT support.
Passing gives you the Microsoft Certified: Azure AI Fundamentals credential. Many people treat it as a first step before moving on to a role based Azure certification later.
How much does the AI-900 Microsoft Azure AI Fundamentals exam cost?
Microsoft charges $99 for the official AI-900 Microsoft Azure AI Fundamentals exam voucher. That price is set by the vendor and applies no matter where you buy the voucher, as long as it is genuine and issued through an authorized channel.
Cyber VK sells the same official voucher for $44.99. That is a saving of $54.01, or 55% off the official price. The voucher is valid for 12 months from the date you buy it, and it works for either Pearson VUE online proctored delivery or a test center, whichever you prefer.
Because the voucher is the same official product either way, the only real difference is price and how you buy it. If you want the exam at a lower price without any change to what you are tested on, you can buy the AI-900 exam voucher through Cyber VK.
What is on the AI-900 Microsoft Azure AI Fundamentals exam?
The exam covers five domains. Each one focuses on a different part of AI on Azure, and all five appear on the exam, so it pays to study each of them rather than focusing on your favorite.
| Domain | What it covers |
|---|---|
| AI Concepts | Core ideas behind artificial intelligence, responsible AI, and the types of problems AI can solve |
| Machine Learning | How machine learning models are trained and used, and the machine learning tools available on Azure |
| Computer Vision | How Azure AI services analyze images, detect objects, and read text from pictures |
| NLP | How Azure AI services process and understand written and spoken language |
| Generative AI | How generative AI models create text, images, and other content, and how Azure supports these workloads |
You do not need to memorize algorithms or write code for this exam. It checks whether you can describe what each service does, name the right service for a given scenario, and explain basic AI and machine learning terms in plain language.
How hard is the AI-900 Microsoft Azure AI Fundamentals exam?
The AI-900 Microsoft Azure AI Fundamentals exam has 60 questions and a time limit of 45 minutes. You need a score of 700 (on 100 to 1000 scale) to pass.
This is a Fundamental level exam, so it is designed to be reachable without deep technical experience. It suits students, business users, and IT professionals who are new to AI, as well as people who work with Azure but have not focused on AI services before.
The main challenge is breadth rather than depth. You are expected to know a little about many topics rather than a lot about one. People who read through each Azure AI service, and try a few of them directly in the portal, tend to find the exam manageable. Skipping straight to memorizing definitions without any context usually makes the exam feel harder than it is.
How to prepare for the AI-900 Microsoft Azure AI Fundamentals exam
A steady plan spread over several weeks works better than cramming the night before. Here is a sample plan you can adjust to fit your schedule and how much AI experience you already have.
- Week one: read through the AI Concepts domain and the idea of responsible AI, and note any terms you do not recognize.
- Week two: study the Machine Learning domain, including how models are trained and the machine learning tools available on Azure.
- Week three: work through the Computer Vision and NLP domains, and look at how each related Azure service works.
- Week four: study the Generative AI domain and review how Azure supports generative AI workloads.
- Week five: try the free AI-900 practice questions on Cyber VK and revisit any domain where you struggled.
- Week six: do a final review of all five domains, read the exam objectives one more time, then book your exam once you feel ready.
You can compress this into 4 weeks if you already know some Azure basics, or stretch it out to 6 weeks or more if AI is completely new to you. What matters most is covering every domain at least once before exam day.
Common mistakes people make
A common mistake is treating this exam as purely theoretical and skipping any hands on look at the actual Azure AI services. Even reading through the service descriptions and demos in the Azure portal helps the concepts stick far better than reading definitions alone.
Another mistake is spending too much time on one domain, often Machine Learning, and running out of time to properly cover Generative AI or NLP. Since every domain appears on the exam, uneven preparation tends to show up directly in your score.
Some people also underestimate the exam simply because it is Fundamental level. The exam is not hard, but it does expect you to know the difference between similar sounding Azure AI services, which requires actual study rather than guessing on exam day.
Finally, some candidates leave preparation until the last few days before their exam date. Given the breadth of topics, spreading study across several weeks, even in short sessions, tends to produce a stronger result than a single long cram session.
Is the AI-900 Microsoft Azure AI Fundamentals certification worth it?
For anyone starting out with AI on Azure, this certification gives a clear, structured way to learn the basics and prove that knowledge to others. It is a reasonable starting point whether you are a student, a business user, or an IT professional moving toward AI focused work.
The credential is not meant to replace hands on experience building AI solutions. What it gives you is a shared vocabulary and a working knowledge of what Azure AI services actually do. That makes it easier to take part in informed conversations about AI projects, even if you are not the one building them day to day.
Because it has no formal prerequisites and covers a wide range of AI topics at an approachable level, this exam works well as an entry point rather than an end point. If you plan to keep building on Azure, this exam pairs well with other Microsoft exams such as AZ-204 Microsoft Azure Developer Associate, DP-203 Microsoft Azure Data Engineer Associate, PL-300 Microsoft Power BI Data Analyst Associate, or AB-900 Microsoft Copilot & Agentic AI Fundamentals, depending on the direction you want to take next.