Never leave a blank
A wrong answer simply earns nothing: no points are deducted. A guess can only help you.
The exam is full of look-alikes: two AI ideas or Azure options that sound almost the same, like RAG and fine-tuning, or fairness and inclusiveness. Each question asks which one fits, and you get 45 minutes for the whole exam. This guide shows how the exam thinks, what changed from AI-900, and how to split your days. Three interactive parts, zero walls of text, and nobody asks you to train a neural network by hand.
Before any strategy, the facts, exactly as Microsoft publishes them. AI-901 is a beginner level exam, but it is not AI-900 with a new number: Microsoft writes it for someone at the start of a career in AI solution development, with basic Python and some familiarity with Azure resources.
A wrong answer simply earns nothing: no points are deducted. A guess can only help you.
On most multi-part questions you earn one point per correct part. Three statements right out of four still counts, so never skip a whole set.
Microsoft tests new questions on real candidates and does not tell you which ones. Treat every question as real, and do not panic at a strange one.
Two details people miss. The score runs from 1 to 1,000 and is scaled, so 700 is not the same as “70% correct”. And if you already passed AI-900, you keep Azure AI Fundamentals: it is the same certification, and AI-901 is now the only exam that leads to it.
Microsoft publishes the weight of each section as a share of the scored content. Here is how the points split:
Read it like this. Section 2 alone is 55 to 60% of the exam, and its verbs are Create, Deploy and Build, not Describe. Section 1 gives you the vocabulary every Foundry question assumes, so start there, then spend most of your days on section 2.
Pick a number: the days are split in proportion to the points, and each one comes with its three tools, in this order. It assumes about an hour a day.
Section 1 tools are free. Sections 2 to 2 open with the full Study Kit. Using other material? The split still holds: spend your hours where the points are.
This is the real skill the exam tests: telling two look-alikes apart under time pressure. Six pairs below. Each clue describes one of the two. Pick the right one before you see the rule, because on exam day nobody hands you the rule.
A loan model approves similar applicants at different rates depending on their neighborhood.
Answer: Fairness. Similar people get different results, fairness. Some people cannot use the system at all, inclusiveness.
An assistant must answer from the company's price list, which changes every week.
Answer: RAG. Private or changing facts, RAG. A consistent style or format, fine-tuning.
A bank's prompts must be processed inside the EU, at pay-per-token prices.
Answer: Data Zone Standard. No residency need, Global Standard. Processing must stay in the EU or US, Data Zone Standard.
A news site wants every person, company and city named in each article, with its type.
Answer: Entity detection. Main subjects or tags, keyword extraction. People, places and dates with a type, entity detection.
A shop wants a photo of a shelf turned into a short answer: is the cereal box upside down?
Answer: Multimodal model. Describe or answer about a picture, multimodal model. Make or edit a picture, image generation.
An HR agent must book a meeting room in the calendar when an employee asks.
Answer: Action tool. Look up a policy or a rate, knowledge tool. Book, create or send something, action tool.
Some look-alikes are a whole family. The free Section 1 Concept Map puts the deployment types side by side: where your prompts are processed, how you pay, and how fast the answer comes back. Tap a type to open its card, exactly as on a Concept Map.
Clue words in a question
The best wrong answers are not random. They are the reflex answer, the one your brain reaches for first. Each card below is one of the free practice questions: the reflex, what the question actually asked, and the rule to keep.
A chat app answers the first question well, then answers the follow-up “What about in winter?” with something unrelated. The app sends only the latest message.
Carry this: models are stateless between calls. Conversation memory is something the app provides by resending the history.
A developer deploys gpt-5-mini under the name support-chat. The code asks for gpt-5-mini and gets “deployment not found”.
Carry this: code calls a deployment by its deployment name, which can differ from the model's name.
An expenses agent with only a model and instructions gives a plausible taxi limit that is not the company's real policy.
Carry this: plausible but wrong on company facts means the agent is not grounded. Add the company's documents as knowledge.
A European insurer must keep prompt processing in the EU, wants pay-per-token pricing and the highest default quota within that rule.
Carry this: residency plus quota is Data Zone. Global processes anywhere, Standard stays in one geography with lower quotas, Provisioned is reserved capacity.
On the real exam you only learn whether you passed. Here, every option is explained, the wrong ones too, because that is where the learning is. Pick an answer.
A support team wants a generative model to find common complaints in chat transcripts that contain customer names, emails and card numbers. What should happen before the text is sent?
Rule to carry forward: minimize data before it reaches the model: remove personal details the task does not need.
Reading about look-alikes is not the same as spotting them. These three are free, with no sign-up, and they cover Section 1 and the first ten practice questions.
Practice improves your chances. Nobody can promise a pass. Section 1 is free; Sections 2 to 2 come with the full Study Kit.
Microsoft publishes no out-of-scope list. The official skills outline gives a lot away anyway: section 1 says Describe and Identify, section 2 says Create, Deploy and Build, but always a lightweight app, a single agent, a simple client.
Our reading of the official skills outline. Microsoft does not publish this list.
Recognize each idea and Foundry feature, pick the one a scenario needs, and read a short Python client without panic.
Lightweight is not a soft word. You will never ship a production app, but you must know which client, which deployment name and which tool makes the few lines work.