Microsoft Azure AI Fundamentals Practice Test

Artificial intelligence (AI) is changing the world around us, enabling us to create solutions that weren’t possible yesterday. But you don’t need to be a data scientist or software developer to become an AI professional. Microsoft’s Azure AI Fundamentals certification enables you to validate your foundational knowledge of common AI and machine learning workloads and related Microsoft Azure services. Try our AWS practice test.

The AI-900 exam is a great way to strengthen your skills in machine learning and AI concepts and to understand how these work on the cloud. It also helps you understand how to apply Azure AI services to solve real-world problems.

The AI-900 exam covers a wide range of topics, from getting started with predictive models and building no-code predictive models on Azure Machine Learning to exploring computer vision in Azure Cognitive Services and natural language processing. It also covers some machine learning basics, including regression, classification, and clustering. It also covers text analytics, key phrase extraction, named entity recognition, and speech recognition and synthesis on Azure Cognitive Services. You can prepare for the AI-900 exam by studying the self-paced content on Microsoft Learn and participating in a virtual trAIning day with an instructor.

The AI 900 learning path is one of the best ways to prepare for the Microsoft Azure AI Fundamentals exam. It is designed to help you understand the types of solutions artificial intelligence makes possible and the services on Azure that can be used to create them. It also covers the guiding principles for responsible AI.

The course contains five miniature courses that cover the basics of AI and Azure. It begins with an introduction to artificial intelligence and its impact on the future of business. You then learn about ML on Azure, including regression, classification, and clustering. You will also learn about computer vision and natural language processing. There are practice exams at the end of each module.

This course is suitable for both technical and non-technical people. It does not require any previous experience with ML, but it is recommended that you have a basic understanding of cloud concepts and architecture. It is also helpful to have a working knowledge of Python, the programming language used in this course.

Fundamentals of Surveying candidates often also prepare with our ASBOG practice test for the geology, soil mechanics, and geospatial fundamentals both land and geological surveying licensing exams assess.

You can continue preparing with the az 900 practice exam, which includes answer explanations for every question.

You can continue preparing with the az 900 exam questions, which includes answer explanations for every question.

You can continue preparing with the az-900 practice exam, which includes answer explanations for every question.

Microsoft Azure AI Fundamentals Exam at a Glance

What changed for Microsoft Azure AI Fundamentals in 2026

• Oct 25, 2026: Retake policy (AI-901) changed to 24-hour wait after first failure; 14 days between later attempts; max 5 per 12 months (previously 24-hour wait after a failed attempt; max 5 attempts in 12 months).^[3]
• Oct 25, 2026: Retake fee (AI-901) changed to You must pay for each retake (previously Full exam fee per retake).^[3]
• Oct 25, 2026: Delivery (AI-901) changed to Pearson VUE online proctored (OnVUE); Certiport for students/educators (previously Pearson VUE online proctored or test center; Certiport for students/instructors).^[5]
• Oct 25, 2026: Validity changed to Fundamentals certifications do not expire (previously Does not expire).^[4]

According to Microsoft, “Most Microsoft Certification exams typically contain between 40-60 questions; however, the number can vary depending on the exam.”^[1]

Microsoft Azure AI Fundamentals content outline and where to practise each area

The content areas below are copied from the official Microsoft Azure AI Fundamentals content outline published by Microsoft. The right-hand column shows which of our practice sets covers it.

Worked examples: how to reason through Microsoft Azure AI Fundamentals questions

These are practice questions written for this site, not questions from the real exam. Each explanation shows why the right answer is right and why the others are wrong.

Example 1

Question: To find brand logos in photos, you must train a machine learning model. Which should you employ?

1. Azure Face Service
2. Azure Custom Vision object detection
3. Language Understanding Intelligent Service (LUIS)
4. Azure Custom Vision image classification

Answer: D. Azure Custom Vision image classification

Explanation:

The keyed answer is Azure Custom Vision image classification. Custom Vision lets you train your own model on labelled images, which is what finding brand logos requires. Azure Face Service is wrong because it analyses human faces, not logos. LUIS is wrong because it interprets text utterances, not photos. Object detection is the tricky option: it also trains on your images and returns bounding boxes, so in real projects it fits when you need to know where a logo sits. This question only asks whether a logo is present, so classification is the keyed answer. The rule to remember: classification answers what is in the image as a whole, object detection answers what is in it and where, and language services never process pictures.

Example 2

Question: What is the purpose of a 'model card' in Responsible AI documentation?

1. A business card format for AI researchers to share contact information
2. A structured document that describes a model's intended use, performance metrics, limitations, and ethical considerations
3. A credit card used to pay for Azure AI services
4. A card game used to teach AI concepts to students

Answer: B. A structured document that describes a model's intended use, performance metrics, limitations, and ethical considerations

Explanation:

A model card is a structured document that describes a model's intended use, performance, limitations and ethical considerations, so option B is correct. It supports the transparency principle in Responsible AI because people who deploy or are affected by a model can see what it was built for and where it may fail. A business card for researchers confuses the word card with contact details. A credit card for paying for Azure services confuses it with billing. A card game for teaching students is a pun on the word, not a documentation artifact. The rule to remember: in Responsible AI, documentation such as model cards exists to make a system understandable and accountable.

Example 3

Question: By using ________________, you can swap chatbot activity with other services.

1. turns
2. dialog
3. channels
4. cards

Answer: C. channels

Explanation:

Channels is correct. In bot development, a channel is the connection between a bot and a client application such as web chat, Microsoft Teams or Slack. Because the bot logic stays the same, you can connect it to different services by configuring channels. Turns are wrong because a turn is one exchange: a user message and the bot's reply. Dialog is wrong because a dialog manages a conversation flow, such as collecting several answers in sequence. Cards are wrong because they are rich visual elements inside a message, such as buttons or images. The rule to remember: channels decide where the bot appears, while turns, dialogs and cards shape what happens inside the conversation.

How to use these practice tests

Start with the official Microsoft Learn exam page for AI-901 and read the skills outline, so you know which areas are measured and which service names are current. Then take a practice set on one topic at a time instead of a mixed set. Begin with the machine learning set, then move to computer vision, natural language processing and conversational AI, and finish with responsible AI. Our sets include older Azure service names, so treat them as practice at recognising workloads and match anything unfamiliar against the current Foundry documentation.

After each set, write down every question you missed and the reason in a sentence. Most misses on this exam come from confusing two similar services, so sort your notes by the pair you mixed up, such as classification and object detection. Revisit those notes a few days later and retake only the missed questions.

In the final days, do a mixed set under the 45-minute exam limit and practise reading each scenario for its workload type before looking at the options. Check your OnVUE or testing-centre requirements well before the booking so that technical issues do not cost you time on the day.

If you want to pass the AI-900 Microsoft Azure Artificial Intelligence certification exam, then it is important to have a solid understanding of the concepts. The best way to do this is by taking online tutorials and practicing with practice tests. Then, you can move on to the video courses and Hands-On Labs to build your knowledge and solidify the concepts. In addition, you should also read the Microsoft documentation and use the exam sandbox to test your skills.

The AI-900 exam is an excellent entry point into Azure AI and machine learning, and it can help you advance in your career. It is not mandatory for higher certifications like AI Engineer or Data Scientist Associate, but it can help you grow your knowledge of Microsoft Azure AI and prepare you to pursue them in the future.

The AI-900 exam covers topics such as text analytics, sentiment analysis, key phrase extraction, named entity recognition, and automated translation. It also identifies features and uses cases for conversational AI. This includes identifying capabilities of the Language Understanding Intelligent Service (LUIS) and Azure tools for conversational AI, such as the QnA Maker service and Bot framework.

The Microsoft Azure AI Fundamentals certification is a great way to gain knowledge of artificial intelligence (AI) and machine learning. It’s designed for both technical and non-technical people. It covers the basic concepts of reinforcement learning, neural networks, and natural language processing. It also includes a number of hands-on labs, videos, and articles on Azure AI.

Earning the Microsoft Certified: Azure AI Fundamentals certification validates your foundational knowledge of machine learning and AI concepts, along with related Microsoft Azure services. You don’t need a data science or software engineering background to pass the exam, but it’s recommended that you have some general programming experience. You can take this exam via self-paced content on Learn or by attending an instructor-led virtual training day through a Microsoft Learning Partner.

Build skills that help you create technology possibilities at Azure Virtual Training Days. At these free training events, you’ll learn the foundational cloud concepts required to successfully deploy applications and manage services across multiple clouds and on-premises. You’ll also dive into DevOps tools and processes to identify how you can achieve the most value from your investment in Azure.

Discover the power of artificial intelligence (AI) with a Microsoft AI Fundamentals certification. Whether you’re an IT administrator, developer or solution architect, you can build solutions and improve apps with AI to meet your business needs. You can also use your AI skills to advance technology in fields like healthcare, financial management and environmental protection.

Get started with your Azure certification by studying self-paced content on Microsoft Learn, attending a virtual trAIning event or signing up for an instructor-led trAIning class through a partner. You can then take the practice assessment to validate your knowledge and earn your certificate. Achieving your certification will help you land a job or boost your salary in the field of IT.

Artificial intelligence (AI) and machine learning are enabling us to build solutions that seemed like science fiction only a short time ago, bringing about incredible advances in health care, financial management, environmental protection, and so much more. Microsoft Azure makes it easy for anyone to take advantage of AI and ML technologies.

The Azure AI Fundamentals certification exam is an entry-level qualification that validates your understanding of common machine learning and AI workloads and related services on Azure. This certification can help you prepare for other Azure role-based credentials, such as the Azure Data Scientist Associate or Azure AI Engineer Associate. The certification exam is designed for technical and non-technical people who want to demonstrate basic knowledge of AI concepts. It is recommended that you have some general programming experience, but it is not required.

The AI-900 exam is best suited for candidates who work with Microsoft AI solutions such as natural language processing and agents. These include AI Engineers, Data Scientists, and Developers who build ML models and applications that meet business needs. The certification also teaches them how to select the right architecture and services to meet performance and scalability goals.

Those who pass the AZ-900 certification will gain an understanding of key concepts in cloud computing, including high availability and scalability. It will also teach them how to deploy and manage Azure solutions. The AZ-900 is an entry-level exam, so it’s suitable for both IT pros and non-IT professionals who want to learn about the fundamentals of cloud computing.

The AZ-900 certification is an excellent first step for IT professionals looking to start their career in the cloud, and it can even help them transition into a new role. It is also a great stepping stone for future certifications such as the Azure Database Administrator Associate or the Azure AI Engineer Associate.

The exam questions in AI-900 cover a variety of AI topics and include a range of question types, including multiple choice, true/false, drag and drop, and select from the list. The exam is designed for both technical and non-technical people. You don’t need to have a background in data science or software engineering, but some general programming knowledge would be helpful. There are many resources available to help you prepare for the exam, including practice tests and study guides.

Passing the exam will give you a foundational level of understanding of AI and machine learning technologies. It will also demonstrate that you have the skills to use ML and AI workloads in Azure. You can then move on to earn more advanced role-based certifications.

If you work around artificial intelligence and machine learning technology on a regular basis, this certification may be worth the investment. However, if you do not work with this technology in any capacity, it’s probably not a good idea to pursue this certification. You could find yourself out of a job down the road.

Sources & last verified

1. Microsoft — number of questions, time limit (official source). “Most Microsoft Certification exams typically contain between 40-60 questions; however, the number can vary depending on the exam.” Verified Oct 25, 2026 · source checked Oct 17, 2026.
2. Microsoft — passing score (official source). “All technical exam scores are reported on a scale of 1 to 1,000. A passing score is 700 or greater.” Verified Oct 25, 2026 · source checked Oct 17, 2026.
3. Microsoft — retake fee, retake policy (official source). “You must pay to retake the exam (if applicable.)” Verified Oct 25, 2026 · source checked Oct 17, 2026.
4. Microsoft — validity, renewal (official source). “Fundamentals certifications do not expire.” Verified Oct 25, 2026 · source checked Oct 17, 2026.
5. Microsoft — delivery (official source). “Microsoft partners with Pearson VUE to deliver online exams to your home or office.” Verified Oct 25, 2026 · source checked Oct 17, 2026.
6. Microsoft — other (official source). “identify ai concepts and capabilities” Verified Nov 1, 2026.

How we verify: editorial & fact-checking policy. Report an error: contact us.

Pros and Cons at a Glance

Sample Microsoft Azure AI Fundamentals Practice Questions

Try these questions from our free Microsoft Azure AI Fundamentals practice tests. The correct answer and an explanation follow each question.

1. What is the purpose of the Azure AI Foundry (formerly Azure AI Studio)?

   • A. To manage virtual machine fleets for AI compute
   • B. To provide a unified platform for building, evaluating, and deploying generative AI applications
   • C. To monitor network traffic for AI workloads
   • D. To automate database migrations for AI applications

Answer: B. To provide a unified platform for building, evaluating, and deploying generative AI applications

Azure AI Foundry is Microsoft's platform for developing, evaluating, and deploying enterprise-grade generative AI solutions and agents.

Answer: A. Movere

Microsoft acquired Movere in 2019. Movere is a company specializing in cloud migration tools that help customers discover, assess, and migrate their IT environments to Microsoft Azure. Its technology assists in inventorying IT assets and planning the migration process efficiently.

Answer: B. Pre-built AI APIs and models accessible via REST endpoints without requiring ML expertise

Azure Cognitive Services (rebranded as Azure AI Services) are pre-built AI capabilities exposed as REST APIs that developers can consume without deep machine learning knowledge.

Answer: B. The most important phrases that summarize the content of a document

Key phrase extraction identifies and returns the main talking points of a text, useful for quickly summarizing large volumes of content.

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