Microsoft · AI-901
Validates foundational knowledge of AI concepts and the technical skills to implement AI solutions using Microsoft Azure. Candidates demonstrate understanding of AI workloads, machine learning principles, computer vision, NLP, and generative AI on Azure, with working knowledge of Python and Azure resources.
Practice Questions
600
≈ 12 practice exams
Duration
60 minutes
Passing Score
700/1000
Difficulty
FoundationalLast Updated
Sep 2026
Microsoft weights the AI-901 exam across two domains, and the split is lopsided by design: Identify AI concepts and capabilities carries 40-45% of your score, while Implement AI solutions by using Microsoft Foundry carries the majority at 55-60%. That second domain is genuinely hands-on: it covers deploying models and building chat clients with the Foundry SDK, creating and testing single-agent solutions, using Azure AI Speech and Content Understanding inside Foundry Tools, and generating images with multimodal models, not just recognizing terminology. The first domain still matters, testing the six responsible AI principles (fairness, reliability and safety, privacy and security, inclusiveness, transparency, accountability), how generative AI models work, and how to match a workload, generative, agentic, text, speech, vision, or information extraction, to the right AI service. AI-901 replaced AI-900, which Microsoft retired on June 30, 2026, and the shift is real: AI-900 candidates leaned on Language, Vision, and Document Intelligence service recognition, while AI-901 pushes Microsoft Foundry, generative AI apps, and agent-building to the center of the exam. This 600-question bank is built to match the current April 15, 2026 skills-measured revision, so Foundry implementation scenarios, prompts, SDK calls, agent configuration, Content Understanding extraction, get the same depth as the responsible AI and workload-identification questions in the smaller domain, rather than a token handful bolted onto AI-900-era content.
On test day, expect roughly 40-60 questions in about 45-60 minutes of active exam time, based on candidate and prep-provider reporting; Microsoft does not publish an exact question count or duration for its fundamentals-level exams, consistent with how AI-900 and AZ-900 were also never given a fixed number. Question formats mix multiple choice, scenario-based items, drag-and-drop, and case studies, delivered through Pearson VUE either at a test center or online via remote proctoring (OnVUE). The passing score is 700 on Microsoft's standard 100-to-1000 scaled range, and results are reported immediately after you finish. The exam ships in English first, with Arabic, Chinese (Simplified and Traditional), French, German, Indonesian, Italian, Japanese, Korean, Portuguese (Brazil), Russian, and Spanish versions following roughly eight weeks after an English-language update, so if you test in a non-English language soon after a revision, you may still see the prior objectives. Candidates whose preferred language isn't yet available can request an extra 30 minutes. Microsoft's registration guidance is specific: use a personal Microsoft account (MSA), not a work or school account, because certification records tied to an organizational account are lost, and unrecoverable, if you leave that organization. Preview the real interface at the official exam sandbox before exam day.
AI-901 has no formal prerequisites; Microsoft's official study guide describes the target candidate as being at the very beginning of an AI solution development career. But it isn't a purely conceptual exam. The audience profile explicitly calls for knowledge of Python coding syntax and programming techniques, familiarity with Azure resources and the Azure portal, and comfort with REST APIs, SDKs, and CLIs, because more than half the exam asks you to reason through actual Foundry implementation steps. Community reports echo this: candidates moving over from AI-900 describe AI-901 as noticeably lighter on classic ML theory and heavier on generative AI, agents, and Foundry tooling. Pricing runs about $99 USD in the United States (Microsoft prices regionally and does not publish one universal figure), and the certification you earn, Microsoft Certified: Azure AI Fundamentals, never expires, since Microsoft's fundamentals-level credentials carry no annual renewal requirement. It's commonly treated as a launchpad toward Azure AI Engineer Associate or Azure Data Scientist Associate rather than a terminal credential. Start with the 30 free questions to see where your Foundry and responsible-AI knowledge stands, then work through the full 600-question bank until your accuracy holds steady across both domains.
The Microsoft Azure AI Fundamentals certification (AI-901) validates foundational knowledge of artificial intelligence concepts and the practical technical skills to implement AI solutions using Microsoft Azure. It replaced the AI-900 exam, which Microsoft retired on June 30, 2026, and reflects the current state of AI development by emphasizing hands-on implementation through Microsoft Foundry, Microsoft's unified platform for building, deploying, and managing AI applications and agents. The exam covers a broad spectrum of AI workloads including generative AI, agentic AI, computer vision, natural language processing, speech, and information extraction.
Updated as of April 15, 2026 and now generally available, AI-901 assesses candidates across two domains: Identify AI concepts and capabilities (40-45%) and Implement AI solutions by using Microsoft Foundry (55-60%). The implementation-heavy structure means candidates must be comfortable with Python coding syntax, the Azure AI Foundry SDK, and Azure resource management, a notable shift from the more conceptual balance of the retired AI-900 exam, which leaned on recognizing Azure AI Language, Vision, and Document Intelligence services rather than building with them.
AI-901 is designed for individuals at the beginning of their career in AI solution development who want to demonstrate both conceptual knowledge of AI and the foundational technical skills to work with Azure AI services. It suits a wide range of roles including aspiring AI engineers, developers, data analysts, IT professionals, and business decision-makers with a technical bent who want to understand what Azure AI can do in practice.
The certification also serves as a stepping stone toward more advanced Microsoft credentials such as Azure AI Engineer Associate or Azure Data Scientist Associate, though it is not a formal prerequisite for those exams. Candidates from non-engineering backgrounds can pursue it, provided they are willing to acquire basic Python familiarity and hands-on Azure Foundry experience before the exam, since more than half the exam is implementation-focused rather than purely conceptual.
There are no mandatory prerequisites to register for or sit the AI-901 exam. Microsoft recommends that candidates have awareness of basic cloud concepts and how client-server applications work. Because AI-901 has a substantial implementation domain (55-60% of the exam), candidates should also have working knowledge of Python coding syntax and programming techniques, as well as familiarity with Azure resources and the Azure portal.
Familiarity with REST APIs, SDKs, and CLIs is explicitly called out in the official study guide as expected background knowledge. Candidates who lack hands-on Azure experience are strongly encouraged to complete Microsoft's self-paced learning paths on Microsoft Learn (AI Concepts and Get Started with AI Apps and Agents) and the official instructor-led course (AI-901T00: Introduction to AI in Azure) before attempting the exam.
The AI-901 exam is a proctored, closed-book assessment delivered online via remote proctoring (OnVUE) or at a Pearson VUE testing center. Microsoft does not publish an exact question count or time allotment for its fundamentals-level exams, but third-party prep providers and candidate reports consistently put AI-901 at roughly 40-60 scored questions across multiple question types, including multiple choice, drag-and-drop, case studies, and scenario-based items, in approximately 45-60 minutes of active exam time (the total appointment window including check-in runs longer).
The passing score is 700 out of 1,000, consistent with all Microsoft certification exams, and is reported on a scaled basis immediately upon completion. The exam ships in English first; Arabic (Saudi Arabia), Chinese (Simplified and Traditional), French, German, Indonesian, Italian, Japanese, Korean, Portuguese (Brazil), Russian, and Spanish versions follow roughly eight weeks after an English-language revision. Candidates whose preferred language is not yet updated may request an additional 30 minutes. Microsoft strongly recommends registering with a personal Microsoft account (MSA) rather than an organizational account, as records tied to a work/school account may be lost if you leave that organization.
Earning the Microsoft Certified: Azure AI Fundamentals credential via AI-901 demonstrates to employers a verified baseline of both AI conceptual knowledge and practical Azure implementation ability, a combination increasingly sought as organizations accelerate AI adoption on the Microsoft platform. The certification is relevant for entry-level roles such as AI support associate, cloud AI analyst, junior AI engineer, and technical roles adjacent to data and AI teams. Because AI-901 involves actual implementation tasks using Microsoft Foundry, it carries more practical signal than a purely conceptual fundamentals certification, and third-party salary aggregators put entry-level AI/cloud roles in roughly the $70,000-$110,000 range in the United States, though actual compensation depends heavily on prior technical experience and role.
As a fundamentals-level credential, AI-901 is positioned as a launchpad rather than a terminal certification. It provides a natural pathway toward higher-value credentials including Azure AI Engineer Associate and Azure Data Scientist Associate (DP-100), which command meaningfully higher salaries as candidates move from foundational awareness to specialized implementation and data science skills. Holding the fundamentals cert demonstrates commitment to that path and gives hiring managers a low-friction signal that a candidate already understands Azure's AI service landscape and responsible AI principles before being handed production-level work.
5 sample questions with answers and explanations. The full bank has 600 questions, enough for 12 full-length practice exams.
Preview — answers shown1. A European healthcare company using Azure AI discovers a data breach that exposed patient records used to train their diagnostic AI model. Under GDPR, what is the maximum timeframe within which the company must notify the relevant supervisory authority after becoming aware of the breach? (Select one!)
Explanation
GDPR requires that organizations notify the relevant supervisory authority within 72 hours of becoming aware of a personal data breach, regardless of industry. This applies to healthcare organizations whose AI systems process personal data. Failure to comply can result in fines of up to €20 million or 4% of annual global turnover, whichever is higher. A 24-hour window is not the GDPR requirement and would be unnecessarily restrictive. Seven calendar days and thirty business days both exceed the 72-hour limit and would place the organization in breach of its regulatory obligations under the privacy and security principle of responsible AI.
2. Fabrikam Media manages an archive of several thousand hours of recorded broadcast interviews that must be transcribed and indexed for search. The operations team prioritizes enterprise-grade transcription accuracy while keeping GPU infrastructure costs as low as possible. Which Microsoft Foundry speech model should they deploy? (Select one!)
Explanation
MAI-Transcribe-1 is Microsoft's first-generation speech recognition model specifically designed for enterprise-accuracy transcription with approximately 50% lower GPU cost compared to alternative models, making it ideal for large-scale archival transcription workloads. MAI-Voice-1 is a text-to-speech synthesis model that generates high-fidelity expressive audio from text input, not a transcription model. MAI-Image-2 is an image generation model with no speech processing capabilities. GPT-4o is a multimodal language model optimized for text understanding, reasoning, and generation rather than dedicated speech-to-text transcription.
3. Fabrikam Financial Services is deploying a generative AI model via Microsoft Foundry. Due to GDPR compliance requirements, all data processing must occur exclusively within EU-regulated compliant regions. The team is not permitted to use a global deployment that spans all Azure regions. Which serverless deployment type should the team select? (Select one!)
Explanation
Data Zone deployments are specifically designed for regulated data scenarios where processing must be restricted to compliant regions only, such as EU-regulated jurisdictions required by GDPR. This deployment type ensures data stays within the defined geographic compliance boundary rather than flowing across all Azure regions. Global Standard deploys across all Azure regions to maximize availability and inference speed, which would violate the geographic processing restriction. Regional Provisioned targets a single specific Azure region and reserves capacity for high-throughput workloads, but its primary purpose is performance optimization rather than compliance zone management. Developer is a low-cost deployment option intended for testing and development purposes, not production compliance scenarios.
4. A visual design team at Relecloud is evaluating Microsoft Foundry to automate the generation of marketing imagery from written product descriptions. The team wants to identify which models available in Microsoft Foundry are specifically designed for text-to-image generation tasks. Which two models support text-to-image generation in Microsoft Foundry? (Select two!)
Multiple correct answersExplanation
DALL-E 3 is OpenAI's image generation model available in Microsoft Foundry that converts text descriptions into high-quality images and is a primary option for text-to-image generation scenarios. MAI-Image-2 is Microsoft's proprietary image generation model, ranked third on the Arena.ai leaderboard, and is designed to produce photorealistic images with strong natural photorealism, in-image text rendering, and support for complex layouts and scenes. GPT-4o is a multimodal language model primarily used for text generation, reasoning, and image understanding tasks but is not a text-to-image generation model. MAI-Transcribe-1 is Microsoft's enterprise speech recognition model that transcribes audio to text and has no image generation capabilities. MAI-Voice-1 is Microsoft's text-to-speech synthesis model that generates expressive spoken audio from text input, not images.
5. A security analyst at Fabrikam Insurance discovers that a user submitted a carefully crafted message to the company's generative AI customer service bot, causing the bot to disregard its system instructions and reveal confidential internal pricing formulas. Which type of AI security threat does this scenario represent? (Select one!)
Explanation
Prompt injection is an adversarial attack where a malicious user crafts input text specifically designed to override or circumvent a model's system instructions, causing the model to behave contrary to its intended configuration. In this scenario the attacker's crafted message caused the model to ignore its system-level guardrails and expose confidential information. Training data poisoning involves corrupting or manipulating the dataset used during model training to introduce backdoors or biases, which occurs before deployment rather than at inference time. A model inversion attack attempts to reconstruct sensitive training data by repeatedly querying the model and analyzing its outputs, which is a different class of threat focused on extracting training information rather than overriding instructions. A membership inference attack tries to determine whether a specific data record was present in the model's training dataset, representing a privacy threat distinct from the runtime instruction-override behavior described here.
Microsoft does not publish an exact count for fundamentals-level exams, but third-party reporting and the standard Microsoft fundamentals format put it at roughly 40-60 questions in about 45-60 minutes of active exam time. Formats mix multiple choice, scenario-based, drag-and-drop, and case-study items, delivered via Pearson VUE at a test center or through online proctoring (OnVUE).
700 out of a 1,000-point scaled range, Microsoft's standard passing threshold across all certification exams, including the retired AI-900.
Per the April 15, 2026 skills-measured revision, there are two domains: Identify AI concepts and capabilities (40-45%) and Implement AI solutions by using Microsoft Foundry (55-60%). The Foundry domain covers generative AI apps and agents, text and speech, computer vision and image generation, and information extraction via Azure Content Understanding.
No. AI-901 replaced AI-900, which Microsoft retired on June 30, 2026. Both lead to the same Microsoft Certified: Azure AI Fundamentals credential, but AI-901's content shifted from AI-900's Language/Vision/Document Intelligence service recognition toward Microsoft Foundry, generative AI, and agent-building, more implementation, less pure terminology recall.
No formal prerequisites. Microsoft's official study guide does recommend candidates have knowledge of Python coding syntax and programming techniques, familiarity with Azure resources, and comfort with REST APIs, SDKs, and CLIs, since more than half the exam tests hands-on Foundry implementation rather than pure concepts.
Approximately $99 USD in the United States. Microsoft prices exams by country or region and does not publish one universal figure, so confirm your local price on the official exam page before registering.
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