AI-901

Microsoft AI-901 - Study Material - Microsoft Azure AI Fundamentals

Microsoft Azure AI Fundamentals covers machine learning fundamentals, natural language processing, computer vision, and bot development, with practice questions for Azure AI beginners.

· Updated November 10, 2026

77 practice questions Instant feedback Ask AI on every question 🆓 Free — no signup

CERTIFICATION NAME

N/A

FREE — NO SIGNUP

Start the free AI-901 practice test

Real exam-style questions
Instant answers & explanations
Ask AI on every question
See your readiness score

Start Free Practice Test

Free forever · No payment details asked

The 1st AI-901 AI-Enabled Practice Test

Ask AI under every question
Works with your ChatGPT, Gemini, Claude or Copilot
Concept explanations, not just answers
Free to start

AI-901 Study4Pass Exam Detail

Get ready to conquer the Microsoft AI-901 – Microsoft Azure AI Fundamentals certification with Study4Pass. Our platform combines realistic exam simulations, up-to-date content, and an intuitive interface to guide you every step of the way and boost your confidence on exam day.

Question & Answers

Free Updates

90 Days

Free 90 days update

Latest updated date

November 10, 2026

What is in the AI-901 Premium File?

Microsoft Azure AI Fundamentals FAQ's

Introduction of Microsoft AI-900 Exam!

Microsoft AI-900 is the Microsoft Azure AI Fundamentals certification exam. It is designed to validate the foundational knowledge and skills required to understand and implement Microsoft Azure AI services. The exam covers topics such as machine learning, natural language processing, computer vision, and conversational AI.

What is the Duration of Microsoft AI-900 Exam?

The Microsoft AI-900 exam is a one-hour exam.

What are the Number of Questions Asked in Microsoft AI-900 Exam?

There are 40 questions in the Microsoft AI-900 exam.

What is the Passing Score for Microsoft AI-900 Exam?

The passing score for the Microsoft AI-900 exam is 700 out of 1000.

What is the Competency Level required for Microsoft AI-900 Exam?

The Microsoft AI-900 exam is designed for individuals who have a basic understanding of artificial intelligence (AI) concepts and technologies. The exam does not require any specific competency level. However, it is recommended that candidates have a basic understanding of AI concepts and technologies, such as machine learning, natural language processing, computer vision, and robotics. Additionally, it is recommended that candidates have experience with Azure services, such as Azure Machine Learning, Azure Cognitive Services, and Azure Bot Service.

What is the Question Format of Microsoft AI-900 Exam?

The Microsoft AI-900 exam consists of multiple-choice, short answer, and drag-and-drop questions.

How Can You Take Microsoft AI-900 Exam?

The Microsoft AI-900 exam can be taken either online or at a testing center. To take the online exam, you must first register and purchase an exam voucher and then schedule your exam date. Once the exam date is scheduled, you will receive an email with the exam voucher and instructions on how to access the exam. To take the exam at a testing center, you must register for the exam at a Pearson VUE testing center and then schedule and pay for the exam. You will then receive an email confirmation from Pearson VUE providing you with the details of your exam.

What Language Microsoft AI-900 Exam is Offered?

Microsoft AI-900 exam is offered in English only.

What is the Cost of Microsoft AI-900 Exam?

The Microsoft AI-900 exam is offered at a cost of $165 USD.

What is the Target Audience of Microsoft AI-900 Exam?

The target audience for the Microsoft AI-900 exam is IT professionals who have experience with artificial intelligence (AI) and machine learning (ML). This includes data scientists, software developers, DevOps engineers, and other IT professionals working with AI and ML solutions.

What is the Average Salary of Microsoft AI-900 Certified in the Market?

It is difficult to provide an accurate average salary estimate for an individual who has passed the Microsoft AI-900 exam, as salaries can vary greatly depending on a variety of factors such as job title, geographic location, years of experience, and company. Generally, however, individuals who have passed the Microsoft AI-900 exam can command higher salaries than those who have not.

Who are the Testing Providers of Microsoft AI-900 Exam?

The testing provider for the Microsoft AI-900 exam is Pearson VUE, both at test centers and through its online proctored service.

What is the Recommended Experience for Microsoft AI-900 Exam?

Microsoft recommends that candidates for the AI-900 exam have at least six months of hands-on experience working with AI solutions and the Microsoft Azure platform. Additionally, experience with the following topics is beneficial: • Understanding of machine learning and deep learning concepts. • Knowledge of Azure AI-related services, such as Azure Machine Learning and Azure Cognitive Services. • Understanding of natural language processing and computer vision. • Knowledge of how to develop and manage AI solutions. • Understanding of how to integrate AI solutions with existing systems and data sources. • Familiarity with the end-to-end AI solution life cycle.

What are the Prerequisites of Microsoft AI-900 Exam?

The Microsoft AI-900 exam does not have any official prerequisites. It is recommended that candidates have some basic knowledge of Microsoft Azure and its services, as well as general knowledge of artificial intelligence concepts.

What is the Expected Retirement Date of Microsoft AI-900 Exam?

The Microsoft AI-900 exam is the current version of the Microsoft Azure AI Fundamentals exam, and Microsoft has not announced a retirement date for it. When Microsoft introduces a newer version, the retirement date for the older version is published on the Microsoft certification site.

What is the Difficulty Level of Microsoft AI-900 Exam?

The difficulty level of the Microsoft AI-900 exam is considered to be intermediate.

What is the Roadmap / Track of Microsoft AI-900 Exam?

The Microsoft AI-900 Exam Certification Track/Roadmap is a series of exams designed to help IT professionals gain the skills and knowledge needed to develop and deploy AI solutions. The track consists of four exams: AI-900: Microsoft Azure AI Fundamentals, AI-100: Designing and Implementing an Azure AI Solution, AI-102: Developing AI Solutions with Microsoft Azure, and AI-900: Microsoft Azure AI Fundamentals for Data Scientists. Each exam covers a different area of AI development, from fundamentals to advanced topics. The exams are designed to help IT professionals gain the skills and knowledge needed to develop and deploy AI solutions.

What are the Topics Microsoft AI-900 Exam Covers?

The Microsoft AI-900 exam covers five main topics: 1. Machine Learning: This topic covers the fundamentals of machine learning, including supervised and unsupervised learning, clustering, and neural networks. 2. Natural Language Processing (NLP): This topic covers techniques used to process and interpret natural language, such as text analysis, sentiment analysis, and entity extraction. 3. Computer Vision: This topic covers the use of computer vision algorithms to extract information from images and videos. 4. Bot Framework: This topic covers the use of the Microsoft Bot Framework to create and deploy intelligent bots. 5. Cognitive Services: This topic covers the use of Microsoft’s cognitive services to build intelligent applications.

What are the Sample Questions of Microsoft AI-900 Exam?

1. What is the purpose of the Azure AI Platform? 2. What are the components of the Microsoft AI Platform? 3. What are the differences between supervised and unsupervised learning? 4. How can Azure Machine Learning be used to create predictive models? 5. What are the components of the Microsoft Cognitive Services suite? 6. What are the benefits of using Azure Cognitive Services? 7. How can Azure Bot Service be used to create intelligent chatbots? 8. What are the best practices for designing and deploying AI solutions using Azure? 9. What are the security considerations when using Azure AI Platform? 10. What are the differences between Azure Machine Learning and Azure Cognitive Services?