Microsoft Azure AI Fundamentals (AI-901) Practice Exam
Microsoft Azure AI Fundamentals (AI-901) Practice Exam
About Microsoft Azure AI Fundamentals (AI-901) Exam
The Microsoft Azure AI Fundamentals (AI-901) Practice Exam is designed for learners who want to understand the fundamentals of Artificial Intelligence and how AI-powered solutions are implemented using Microsoft Azure. It serves as an ideal starting point for students, beginners, business professionals, and IT professionals looking to explore AI, Machine Learning, and Azure AI services without requiring advanced technical expertise.
Skills Validated
The Microsoft Azure AI Fundamentals (AI-901) certification validates foundational knowledge of Artificial Intelligence concepts and Azure AI services.
- The exam focuses on understanding common AI workloads, machine learning principles, computer vision, natural language processing, generative AI, and responsible AI practices.
- Unlike advanced AI certifications, AI-901 is intended for candidates from both technical and non-technical backgrounds. It helps learners understand how AI solutions are used in real business environments and how Microsoft Azure provides services for developing intelligent applications.
Who should take this Exam?
The AI-901 certification is suitable for a wide range of learners interested in Artificial Intelligence and Azure AI technologies. This practice exam is recommended for:
- Students and freshers exploring AI careers
- IT professionals beginning with Azure AI
- Developers and cloud professionals
- Business analysts and consultants
- Non-technical professionals working with AI projects
- Career switchers entering AI or cloud computing
Even candidates without prior AI or programming experience can use this certification to build foundational knowledge and understand how AI solutions are implemented in modern organizations.
Career Opportunities
After preparing for the AI-901 certification, learners can explore entry-level opportunities related to AI, cloud technologies, and intelligent business solutions. The certification also acts as a foundation for advanced Microsoft Azure certifications.
- AI Support Associate
- Azure AI Associate
- Junior AI Engineer
- Cloud Support Executive
- Data and AI Analyst
- AI Operations Assistant
- Machine Learning Support Professional
What will you learn?
- Fundamentals of Artificial Intelligence and AI workloads
- Basics of Machine Learning concepts and models
- Computer Vision and image analysis concepts
- Natural Language Processing (NLP) fundamentals
- Generative AI and Large Language Model concepts
- Conversational AI and chatbot technologies
- Responsible AI principles and ethical AI practices
- Azure AI services and their real-world applications
- AI-powered business solutions and automation use cases
- Core concepts of Azure Machine Learning and AI development
Skills Required
The Microsoft Azure AI Fundamentals (AI-901) certification is beginner-friendly and does not require advanced technical expertise. However, having the following basic skills can help learners prepare more effectively:
- Basic computer and internet knowledge
- Interest in Artificial Intelligence and cloud technologies
- Familiarity with digital applications and data concepts
- Basic understanding of business or technology workflows
- Curiosity about AI-driven tools and automation
- No prior programming, data science, or Azure experience is mandatory for this certification.
Knowledge Gained
After completing the AI-901 Practice Exam preparation, learners will gain practical understanding of how Artificial Intelligence solutions are designed, deployed, and used within Microsoft Azure environments.
- How AI systems solve real-world business problems
- Different types of AI workloads and use cases
- Fundamentals of machine learning and predictive models
- AI services available within Microsoft Azure
- Ethical and responsible use of AI technologies
- Modern Generative AI concepts and AI copilots
- Speech, language, and image-based AI applications
- Conversational AI and virtual assistant technologies
- AI implementation concepts used across industries
- Foundational knowledge required for advanced Azure AI certifications
Course Outline
The Microsoft Azure AI Fundamentals (AI-901) Exam covers the following topics -
Domain 1 - Describe and Identify AI concepts and capabilities (40–45%)
1.1 Explain principles of responsible AI
- Learn considerations for fairness in an AI solution
- Learn considerations for reliability and safety in an AI solution
- Learn considerations for privacy and security in an AI solution
- Learn considerations for inclusiveness in an AI solution
- Learn considerations for transparency in an AI solution
- Learn considerations for accountability in an AI solution
1.2 Identify AI model components and configurations
- Learn how generative AI models work
- Learn to identify an appropriate AI model, based on capabilities
- Learn to identify appropriate model deployment options and configuration parameters
1.3 Identify AI workloads
- Learn to identify scenarios for common AI workloads, including generative and agentic AI, text analysis, speech, computer vision, and information extraction
- Learn about common text analysis techniques, including keyword extraction, entity detection, sentiment analysis, and summarization
- Learn to identify features and capabilities of speech recognition and speech synthesis
- Learn to identify features and capabilities of computer vision and image-generation models
- Learn to identify techniques to extract information from text, images, audio, and videos
Domain 2 - Explain to implement AI solutions by using Microsoft Foundry (55–60%)
2.1 Explain and implement generative AI apps and agents by using Foundry
- Learn to create effective system and user prompts for generative AI models
- Learn to deploy a model and interact with it in the Foundry portal
- Learn to create a lightweight chat client application by using the Foundry SDK
- Learn to create and test a single-agent solution in the Foundry portal
- Learn to create a lightweight client application for an agent
2.2 Implement AI solutions for text and speech by using Foundry
- Learn to build a lightweight application that includes text analysis
- Learn to respond to spoken prompts by using a deployed multimodal model
- Learn to build a lightweight application by using Azure Speech in Foundry Tools
2.3 Implement AI solutions with computer vision and image-generation capabilities by using Foundry
- Learn to interpret visual input in prompts by using a deployed multimodal model
- Learn to create new visual outputs by using generative models
- Learn to build a lightweight application that includes vision capabilities
2.4 Implement AI solutions for information extraction by using Foundry
- Learn to extract information from documents and forms by using Azure Content Understanding in Foundry Tools
- Learn to extract information from images by using Content Understanding
- Learn to extract information from audio and video by using Content Understanding
- Learn to build a lightweight application with information extraction capabilities by using Content Understanding
