The Microsoft AI-901 exam, Microsoft Azure AI Fundamentals, is designed for people at the beginning of their AI solution-development career.
Unlike older introductory AI exams that focused mainly on concepts, AI-901 expects candidates to understand both AI fundamentals and practical implementation using Microsoft Foundry. Microsoft also expects familiarity with Python syntax, Azure resources, REST APIs, SDKs, and command-line tools.
That means the best preparation strategy is not simply memorizing definitions.
A stronger approach is:
Learn the AI concepts → Practice Foundry → Understand Python/API basics → Review responsible AI → Complete practice questions → Test yourself under time pressure
Microsoft AI-901 Exam at a Glance
| Exam Detail | Current Information |
| Exam Code | AI-901 |
| Certification | Microsoft Certified: Azure AI Fundamentals |
| Level | Beginner |
| Passing Score | 700 |
| Main Focus | AI concepts and implementation with Microsoft Foundry |
| Current Blueprint | Effective April 15, 2026 |
| Practice Assessment | Available |
| Recommended Skills | Python basics, Azure resources, REST APIs, SDKs, CLIs |
Microsoft updated the English-language AI-901 exam on April 15, 2026, so candidates should make sure they are using current preparation material. Localized versions may be updated later than the English exam.
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Current AI-901 Exam Domains
The current exam is divided into two major areas:
| Domain | Weight |
| Identify AI concepts and capabilities | 40–45% |
| Implement AI solutions using Microsoft Foundry | 55–60% |
The implementation section represents more than half of the exam, so practical Foundry knowledge deserves the greatest share of your study time.
1. Start With the Current AI-901 Blueprint
Before beginning a course, review the current exam objectives.
Build your study plan around the two official domains.
Domain 1
Identify AI concepts and capabilities
This includes topics such as:
- Responsible AI
- AI solution characteristics
- Model concepts
- Generative AI
- AI workloads
- Content understanding
Domain 2
Implement AI solutions using Microsoft Foundry
This is the larger section and requires more practical preparation.
Create a checklist and mark each objective as:
Not studied → Learning → Practiced → Confident
This makes progress easier to measure.
2. Learn Responsible AI Principles
Responsible AI remains an important part of the exam.
You should understand principles involving:
- Fairness
- Reliability and safety
- Privacy and security
- Inclusiveness
- Transparency
- Accountability
Do not memorize these as isolated words.
Instead, understand what each principle means in a practical scenario.
For example:
If an AI model consistently performs worse for one group of users, the relevant concern is likely fairness.
If users need to understand why an automated system produced a recommendation, transparency becomes important.
Scenario-based understanding is more useful than simple memorization.
3. Spend More Time on Microsoft Foundry
Because Foundry implementation represents 55–60% of the current exam, this should be your main practical focus.
You should become familiar with how AI solutions are created and managed.
Practice areas should include:
- Creating AI resources
- Working with models
- Building AI applications
- Using agents
- Testing prompts
- Connecting data
- Evaluating outputs
The goal is to recognize which Foundry capability is appropriate for a particular scenario.
4. Learn Basic Python Before the Exam
AI-901 is beginner-level, but Microsoft still expects candidates to know basic Python syntax and programming techniques.
You do not need to be an advanced developer.
Focus on:
- Variables
- Strings
- Lists
- Functions
- Conditions
- Loops
- Basic JSON
- Calling APIs
For example, you should understand the general idea of:
Send request → receive JSON response → extract useful result
The exam is more likely to test whether you understand the workflow than whether you can write a large application from scratch.
5. Understand REST APIs, SDKs, and CLIs
Microsoft explicitly recommends familiarity with:
- REST APIs
- SDKs
- CLIs
You should understand the difference between them.
REST API
Used to communicate with a service through HTTP requests.
SDK
Provides programming libraries that simplify interaction with a service.
CLI
Allows you to manage resources through command-line instructions.
A scenario may ask which interface is most appropriate for a particular task.
Understanding the role of each one can help you eliminate incorrect answers.
6. Practice Generative AI Concepts
Generative AI is central to modern AI workloads.
Make sure you understand concepts such as:
- Foundation models
- Prompts
- Tokens
- Model responses
- Grounding
- Retrieval
- Context
- Agents
You should also understand why generative AI systems may produce incorrect or unsupported outputs and how grounding or additional context can improve reliability.
Do not focus only on definitions.
Think about how these concepts influence the design of an AI solution.
7. Build Small Hands-On Exercises
Hands-on practice makes AI-901 significantly easier.
Try small tasks such as:
- Create an AI resource.
- Explore an available model.
- Send a prompt.
- Change the prompt.
- Compare responses.
- Test structured output.
- Connect an application to the service.
You do not need a complex project.
Even a small AI application can make concepts such as endpoints, authentication, APIs, models, prompts, and responses much easier to remember.
8. Use Practice Questions to Identify Weak Areas
Once you understand the major domains, begin using exam-focused questions.
Cert Empire provides Microsoft AI-901 exam questions that can support revision alongside the current exam blueprint, practical Foundry exercises, and structured study.
When reviewing a question, ask:
- Which domain is being tested?
- What requirement is the scenario describing?
- Which service or AI concept best matches it?
- Why are the other options less appropriate?
- Do I understand the concept well enough to answer it if the wording changes?
This approach turns question practice into active learning.
9. Use the Official Practice Assessment
The current AI-901 exam has a Practice Assessment available through the AI Skills Navigator. Microsoft recommends using it to test exam readiness.
Use the assessment after you have studied both major domains.
Do not use it only to memorize answers.
Instead:
- Record weak topics
- Review explanations
- Return to the objective
- Practice the concept
- Retest later
The purpose is to measure knowledge rather than simply achieve a high practice score.
10. Learn Through Scenarios
Many certification questions are easier when you recognize the scenario type.
For example:
Scenario
A company wants an AI system that converts natural-language content into structured information.
Ask:
- Is this language processing?
- Is information extraction required?
- Which capability addresses the requirement?
Another scenario may describe:
- A chatbot
- A classification problem
- An image-analysis requirement
- A responsible AI issue
Train yourself to identify the requirement before looking at the answers.
11. Focus on Understanding, Not Memorization
AI technologies change quickly.
Memorizing every service description is not the best approach.
Instead, understand:
Problem → AI capability → service/application approach
For example:
Need to generate text → Generative AI
Need to analyze images → Computer vision
Need to classify language → Natural language processing
Need safer AI behavior → Responsible AI controls
This method remains useful even when question wording changes.
12. Use an 6-Week AI-901 Study Plan
Week 1
Study:
- AI fundamentals
- Common AI workloads
- Responsible AI
Week 2
Focus on:
- Generative AI
- Models
- Prompts
- Content understanding
Week 3
Practice:
- Microsoft Foundry
- Resources
- Models
- AI application workflows
Week 4
Learn:
- Python basics
- REST APIs
- SDKs
- CLI concepts
Week 5
Complete:
- Topic-based questions
- Foundry exercises
- Weak-area review
Week 6
Focus on:
- Mixed practice questions
- Practice Assessment
- Final revision
- Exam-style scenarios
This schedule can be shortened if you already have Azure or programming experience.
13. Review Weak Topics, Not Everything
During the final week, divide your topics into:
Strong
You can explain the concept without notes.
Moderate
You understand it but occasionally make mistakes.
Weak
You repeatedly answer questions incorrectly.
Spend most of your final revision time on the moderate and weak groups.
This is much more efficient than restarting the entire course.
14. Practice Exam-Time Decision Making
Certification questions may contain several answers that look possible.
A useful method is:
- Read the question carefully.
- Identify the required outcome.
- Look for key limitations.
- Eliminate irrelevant options.
- Select the answer that best satisfies the scenario.
Pay attention to words such as:
- BEST
- MOST appropriate
- FIRST
- LEAST
- REQUIRED
These words can completely change the expected answer.
15. Use the Exam Sandbox
Microsoft provides an exam sandbox so candidates can become familiar with the certification testing interface.
Explore it before exam day.
Understanding the interface can help you become familiar with:
- Navigation
- Question layout
- Review options
- Exam controls
That way, your attention during the real exam can stay focused on the questions.
Common AI-901 Preparation Mistakes
Avoid:
- Using old AI-900 material as your main guide
- Ignoring Microsoft Foundry
- Skipping Python basics
- Memorizing terminology only
- Ignoring REST APIs and SDK concepts
- Avoiding hands-on practice
- Studying only generative AI
- Ignoring responsible AI
- Repeating the same practice questions until memorized
- Waiting until the final day to take a full assessment
The current AI-901 exam is broader than simple AI theory.
How Do You Know You Are Ready?
You should be able to explain:
- Core AI workloads
- Responsible AI principles
- Generative AI concepts
- Microsoft Foundry
- Basic Python
- APIs
- SDKs
- CLI concepts
- AI application implementation
You should also perform consistently across different practice sets.
One high score is less meaningful than several strong results across different question sets.
Can Beginners Pass AI-901?
Yes.
AI-901 is specifically aimed at candidates beginning their careers in AI solution development.
However, beginner does not mean zero preparation.
You should still gain foundational technical knowledge in:
- Azure
- Python
- AI concepts
- Foundry
- APIs
A candidate with these basics can approach the exam much more confidently.
Final First-Attempt Strategy
A practical strategy is:
Week 1–2: Learn AI concepts.
Week 3: Work with Foundry.
Week 4: Strengthen Python/API knowledge.
Week 5: Complete practice questions.
Week 6: Take full assessments and review weaknesses.
During the final days:
- Review domain weights
- Revisit weak areas
- Complete one final timed assessment
- Avoid learning large new topics
- Review responsible AI concepts
Conclusion
Passing Microsoft AI-901 on your first attempt requires a combination of conceptual knowledge and practical familiarity with modern Azure AI tools.
The current exam focuses on:
- AI concepts and capabilities – 40–45%
- Implementing AI solutions with Microsoft Foundry – 55–60%
Microsoft also expects basic familiarity with Python, Azure resources, REST APIs, SDKs, and CLIs.
The strongest preparation strategy is:
Follow the current blueprint → Learn AI fundamentals → Practice Foundry → Build Python/API basics → Complete practice questions → Review weak areas → Take timed assessments
If you focus on understanding how AI concepts are applied instead of memorizing individual answers, you will be much better prepared for scenario-based questions on exam day.
FAQs
Is AI-901 suitable for beginners?
Yes. AI-901 is designed for candidates beginning their AI solution-development careers, although basic Python and Azure familiarity are recommended.
What is the passing score for AI-901?
The current passing score is 700 or greater.
What are the current AI-901 domains?
The exam covers AI concepts and capabilities at 40–45% and implementing AI solutions with Microsoft Foundry at 55–60%.
Do I need Python for AI-901?
You should understand basic Python coding syntax and programming techniques. Microsoft lists this as expected foundational technical knowledge.
Is there an official AI-901 practice assessment?
Yes. A Practice Assessment is currently available through the AI Skills Navigator.
Has AI-901 replaced AI-900?
AI-901 is the current Microsoft Azure AI Fundamentals exam in 2026 and represents the updated beginner AI certification path.
Read More: How Practice Tests Improve IT Certification Exam Preparation