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Microsoft AI-901 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals (AI-900) Exam |
| Exam Number: | AI-900 |
| Exam Format: | Multiple response, Drag and drop, Multiple choice, Case study (limited) |
| Passing Score: | 700 (out of 1000) |
| Related Certifications: | Microsoft Azure Data Fundamentals (DP-900) Microsoft Azure Fundamentals (AZ-900) |
| Certificate Validity Period: | Does not expire (Fundamentals certification) |
| Exam Price: | Approx. 99 USD (varies by region) |
| Available Languages: | Japanese, German, Korean, Chinese (Traditional), English, Spanish, Chinese (Simplified), French, Portuguese (Brazil) |
| Real Exam Qty: | 40-60 |
| Exam Duration: | 60 minutes |
| Recommended Training: | Microsoft Learn - AI-900 Learning Path Azure AI Fundamentals Course |
| Exam Registration: | Microsoft Certification Portal Schedule exam via Pearson VUE |
| Sample Questions: |  |
| Exam Way: | Online proctored exam or in-person test center |
| Pre Condition: | No formal prerequisites required. Basic understanding of cloud computing and AI concepts is recommended. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/ |
Microsoft AI-901 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Describe features of generative AI workloads on Azure | 10-15% | - Azure OpenAI and generative services
|
| Describe Artificial Intelligence workloads and considerations | 20-25% | - Identify features of common AI workloads
|
| Describe features of computer vision workloads on Azure | 15-20% | - Image analysis
|
| Describe fundamental principles of machine learning on Azure | 25-30% | - Azure Machine Learning basics
|
| Describe features of natural language processing (NLP) workloads on Azure | 15-20% | - Azure NLP services
|
AI-901 Exam FAQ — Methods, Measurement, Mastery
The Microsoft Azure AI Fundamentals exam contains 40-60 to complete within 60 minutes. Timed simulation in the GuideTorrent Desktop Test Engine teaches that rhythm before exam day does.
The official Microsoft Azure AI Fundamentals outline defines 5 domains. The leading three are Describe features of computer vision workloads on Azure (15-20%), Describe features of natural language processing (NLP) workloads on Azure (15-20%), and Describe Artificial Intelligence workloads and considerations (20-25%). The full list is in the topics section above, and GuideTorrent's 132 practice questions cover each one.
Online proctored exam or in-person test center Register for the Microsoft Azure AI Fundamentals exam through these official channels:
After booking, GuideTorrent delivers your practice questions within 1 minute — preparation starts the same day.
The AI-901 exam is a Microsoft certification exam validating the Microsoft Azure AI Fundamentals syllabus shown above. It belongs to these credential paths: Microsoft Azure Data Fundamentals (DP-900), Microsoft Azure Fundamentals (AZ-900). Candidates in 2026 start with GuideTorrent's 132 practice questions, available as a printable PDF, a Windows Desktop Test Engine, and an Online Test Engine — three versions of the same materials.
GuideTorrent issues a full refund if you take the Microsoft Azure AI Fundamentals exam within 60 days of purchase and do not pass. The policy does not apply if the exam is taken within 3 days of purchase, if the exam was never actually taken, or to free materials or expired orders, and the candidate name must match the payer name. Submit a scan of your enrollment slip and the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Alternatively, exchange for two free exam products of equal value and keep your original update service. Orders arrive by email within 1 minute — contact support if nothing arrives within 2 hours.
The Microsoft Azure AI Fundamentals exam requires 700 (out of 1000) to pass, and registration costs Approx. 99 USD (varies by region). A failed attempt means paying the same fee again — a readiness check with the GuideTorrent engines before booking is the cheaper option.
No formal prerequisites required. Basic understanding of cloud computing and AI concepts is recommended. Since requirements change over time, confirm the latest on the official Microsoft exam page before scheduling.
Microsoft recommends these training resources for the Microsoft Azure AI Fundamentals exam:
Follow the training with steady self-testing — the 132 practice questions from GuideTorrent help you apply theory and fill any gaps the training leaves.
Three versions of the same study materials: a printable, expert-prepared PDF with free demo download and instant access; a Desktop Test Engine for Windows with customizable simulation and timed modes that works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. All 132 practice questions are identical across versions. Every purchase includes 365 days of free updates, a 50% renewal discount afterward, and unlimited computer installations.
Microsoft Azure AI Fundamentals Sample Questions:
What are two types of generative Al models? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point.
- A. computer vision
- B. DALLE
- C. transformer
- D. natural language processing
- E. GPT
Correct Answer: B,E 🗳️
Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).
You have a Microsoft Foundry project that contains a vision-enabled model deployment.
You need to develop an application that sends a message containing text and an image URL. The solution must ensure the quickest response time.
Which message structure should you include in the request?
- A. a system message that includes both a text item and an image item in the content array
- B. a user message that includes both a text item and an image item in the content array
- C. a system message that includes only a text item and sends an image item in a separate request
- D. a user message that includes only a text item and sends an image item in a separate request
Correct Answer: B 🗳️
Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).
You have a Microsoft Foundry project that contains a deployed generative Al model You need to develop an application by using the Microsoft Foundry SDK to send chat prompts to the deployed model Which information must the application include?
- A. Credentials, endpoint URL, and model deployment name
- B. Foundry project display name, model training dataset. and task type
- C. Exported playground session history, endpoint URL and task type
- D. Model training dataset. exported playground session history, and Foundry project display name
Correct Answer: A 🗳️
Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).
You are designing a system that will generate insurance quotes automatically.
Match the Microsoft responsible AI principles to the appropriate requirements.
To answer, drag the appropriate principle from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Correct Answer:
Explanation:
Requirement
Principle
The decision-making process must be recorded so that staff can identify the reasoning behind a particular quote.
Transparency
A customer ' s personal information must be visible only to staff who are involved in the decision-making process.
Privacy and security
The system must be accessible to customers who use screen readers or other assistive technology.
Inclusiveness
Microsoft ' s Responsible AI framework defines six core principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability.
The first requirement maps to Transparency because personnel must be able to understand and review how the AI system arrived at an insurance quote. Transparency concerns making AI behavior, capabilities, limitations, and decision processes understandable. Recording the decision-making process provides the traceability required to explain a particular result.
The second requirement maps to Privacy and security. Restricting customer information to authorized staff directly implements least-privilege access and protects confidential personal data from unauthorized disclosure. Microsoft specifically associates this principle with respecting data boundaries and safeguarding information handled by AI systems.
The third requirement maps to Inclusiveness. AI systems should accommodate the full range of people they serve, including individuals who rely on assistive technologies. Support for screen readers and accessibility technologies ensures that users with disabilities are not excluded from interacting with the system. Microsoft explicitly connects inclusive AI design with accessibility considerations for people with disabilities.
You are deploying a generative Al model to a Microsoft Foundry project. You assign a higher tokens per minute (TPM) allocation to the model. What is the result of this change?
- A. The speed and scale at which the model deployment can process inputs changes
- B. The model generates longer responses.
- C. The model generates shorter responses and additional source citations.
- D. The Azure region availability of the model changes.
Correct Answer: A 🗳️
Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).
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