Prepare for the Microsoft AI-901: Azure AI Fundamentals certification with exam-focused practice questions covering Artificial Intelligence concepts, Generative AI, Microsoft Foundry, AI agents, Natural Language Processing, Computer Vision, Speech, Responsible AI, and real-world Azure AI scenarios.

AI-901: Microsoft Azure AI Fundamentals is a beginner-level Microsoft certification designed for candidates starting their journey in Artificial Intelligence and AI solution development on Microsoft Azure.

The certification validates foundational knowledge of AI concepts, common AI workloads, Generative AI, responsible AI principles, AI models, and implementing AI solutions using Microsoft Foundry.

Candidates should have conceptual knowledge of AI solutions in Azure. Basic familiarity with Python programming, Azure resources, cloud storage, compute, authentication, and authorization is also useful.

The current AI-901 exam focuses on two major skill areas:

• Identify AI Concepts and Capabilities – 40–45%
• Implement AI Solutions by Using Microsoft Foundry – 55–60%

The exam evaluates your understanding of AI concepts as well as your ability to recognize how Microsoft Azure AI services can be used to build practical AI solutions.

AI-901 is suitable for:

• Students and Freshers
• Beginners interested in Artificial Intelligence
• Software Developers
• Data Analysts
• Data Engineers
• Cloud Professionals
• Azure Professionals
• Python Developers
• Application Developers
• AI and Machine Learning Beginners
• Business and Technical Professionals
• Professionals interested in Generative AI
• Candidates planning to move into AI Engineer roles

AI-901 is especially useful for professionals who want to build a strong foundation before moving into advanced Azure AI and Generative AI technologies.

1. Responsible AI Principles

Understand important Responsible AI concepts, including:

• Fairness
• Reliability and Safety
• Privacy and Security
• Inclusiveness
• Transparency
• Accountability
• Ethical AI considerations

2. AI Models and Configurations

Learn the fundamentals of:

• Generative AI models
• How Generative AI works
• Selecting the right AI model
• Model capabilities
• Model deployment options
• Model configuration parameters
• Large Language Models

3. Common AI Workloads

Understand common Artificial Intelligence workloads such as:

• Generative AI
• Agentic AI
• Natural Language Processing
• Speech AI
• Computer Vision
• Information Extraction
• Text Analysis
• Image Generation

4. Natural Language Processing

Learn common NLP techniques such as:

• Sentiment Analysis
• Entity Recognition
• Keyword Extraction
• Text Summarization
• Language Understanding
• Text Processing
• AI-powered conversational experiences

5. Speech AI

Understand capabilities related to:

• Speech Recognition
• Speech-to-Text
• Text-to-Speech
• Speech Synthesis
• Voice-enabled AI applications

6. Computer Vision

Learn the fundamentals of:

• Image Analysis
• Image Recognition
• Computer Vision
• Image Generation
• AI models for visual workloads
• Extracting information from images and videos

7. Microsoft Foundry

Understand how Microsoft Foundry can be used to build AI solutions, including:

• Deploying AI models
• Working with models in the Foundry portal
• Interacting with deployed models
• Foundry SDK
• AI application development
• Model selection and deployment

8. Generative AI Applications

Learn how to build Generative AI applications using:

• System prompts
• User prompts
• Prompt Engineering
• Large Language Models
• Chat-based AI applications
• AI model interactions
• Foundry SDK

9. AI Agents

Understand the fundamentals of Agentic AI, including:

• AI agents
• Agent-based applications
• Automated AI workflows
• AI reasoning and actions
• Generative AI agents

10. Information Extraction

Learn how AI can extract meaningful information from:

• Text
• Documents
• Images
• Audio
• Videos

Candidates should also understand how Microsoft Foundry Content Understanding can support information-extraction scenarios.

Earning the Microsoft AI-901 certification can help you:

• Build a strong foundation in Artificial Intelligence
• Understand Generative AI technologies
• Learn Microsoft Azure AI concepts
• Gain exposure to Microsoft Foundry
• Understand AI agents and modern AI applications
• Develop prompt engineering knowledge
• Improve your understanding of Responsible AI
• Strengthen your resume with a Microsoft certification
• Prepare for advanced Azure AI certifications
• Start preparing for AI Engineer roles
• Improve confidence in AI-related interviews
• Understand how AI is applied in real-world business scenarios

AI-901 can be an excellent starting point for professionals planning careers in Artificial Intelligence, Generative AI, Azure AI, Data Engineering, Software Development, and Cloud Technologies.

Practice important AI-901 exam-style questions and answers covering the latest Microsoft Azure AI Fundamentals objectives.

✅ Exam-focused practice questions
✅ Generative AI concepts
✅ Microsoft Foundry concepts
✅ Responsible AI principles
✅ AI Agent concepts
✅ NLP, Speech & Computer Vision
✅ Prompt Engineering
✅ Scenario-based questions
✅ Quick revision before the exam

Prepare Smarter. Build Your AI Fundamentals. Get Ready for the Microsoft AI-901 Certification Exam.

A) Transparency
B) Fairness
C) Accountability
D) Reliability
Answer: B) Fairness

A) Computer Vision
B) Natural Language Processing
C) Speech Synthesis
D) Image Generation
Answer: B) Natural Language Processing

A) Text-to-Speech
B) Speech-to-Text
C) Image Analysis
D) Sentiment Analysis
Answer: B) Speech-to-Text

A) Create databases
B) Improve AI model responses through effective instructions
C) Configure virtual networks
D) Encrypt storage accounts
Answer: B) Improve AI model responses through effective instructions

A) Computer Vision
B) Speech Recognition
C) Text Summarization
D) Language Translation
Answer: A) Computer Vision

A) Only store data
B) Reason, make decisions, and perform tasks toward a goal
C) Replace cloud storage
D) Manage database backups only
Answer: B) Reason, make decisions, and perform tasks toward a goal