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Microsoft AI-901 Exam : Microsoft Azure AI Fundamentals

AI-901 actual test
  • Exam Code: AI-901
  • Exam Name: Microsoft Azure AI Fundamentals
  • Updated: Sep 22, 2026
  • Q & A: 127 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $59.99  

About Microsoft AI-901 Exam

Workers in this field face ever-increasing competitive pressure, and certificates remain one of the clearest ways to demonstrate capability. For the AI-901 exam, Pass4suresVCE provides 127 practice questions covering the Microsoft Azure AI Fundamentals objectives, plus free updates for 365 days to keep them current.

Microsoft AI-901 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure AI Fundamentals
Exam Number:AI-901
Available Languages:Japanese, French, Korean, English, Russian, Indonesian (Indonesia), Chinese (Traditional), German, Portuguese (Brazil), Arabic (Saudi Arabia), Italian, Spanish, Chinese (Simplified)
Exam Price:$99 USD
Certificate Validity Period:Lifetime
Exam Format:Multiple choice, Case studies, Multiple select
Real Exam Qty:30-40
Exam Duration:60 minutes
Passing Score:700
Recommended Training:Microsoft Learn: AI concepts for developers and technology professionals
Microsoft Learn: Get started with Microsoft Foundry
Exam Registration:Microsoft Certification Exam Registration
Pearson VUE Scheduling
Sample Questions:Free Download real AI-901 actual tests
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:No required prerequisites; basic understanding of cloud computing and familiarity with Python syntax recommended
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-901/

Microsoft AI-901 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement AI solutions by using Microsoft Foundry55-60%- Get started with Microsoft Foundry
  • 1. Navigate the Microsoft Foundry portal
  • 2. Describe core features and use cases of Microsoft Foundry
  • 3. Create and configure a Foundry project
- Implement AI solutions
  • 1. Monitor and manage AI solutions
  • 2. Implement single-agent solutions
  • 3. Use code examples to call AI services
  • 4. Integrate AI services into applications
- Work with models in Microsoft Foundry
  • 1. Customize models with prompt engineering
  • 2. Evaluate model performance and safety
  • 3. Discover and deploy foundation models
  • 4. Fine-tune models
Topic 2: Identify AI concepts and responsibilities40-45%- Identify AI concepts and features
  • 1. Describe capabilities of computer vision
  • 2. Describe capabilities of machine learning
  • 3. Describe types of AI workloads
  • 4. Describe capabilities of natural language processing
  • 5. Describe characteristics of generative AI
- Identify AI model components and configurations
  • 1. Describe data preparation for AI models
  • 2. Describe model training and evaluation concepts
  • 3. Describe model deployment and consumption concepts
- Describe principles of responsible AI
  • 1. Describe fairness considerations
  • 2. Describe transparency considerations
  • 3. Describe accountability considerations
  • 4. Describe inclusiveness considerations
  • 5. Describe privacy and security considerations
  • 6. Describe reliability and safety considerations

AI-901 Exam Facts for Busy Professionals

The official training resources include:

Many candidates pair official training with a concise question bank — the courses explain concepts, and distilled practice questions make review time efficient.

The AI-901 exam is the official examination for the Microsoft Azure AI Fundamentals certification from Microsoft. In an industry that keeps attracting new talent, the credential is a straightforward way to prove how capable and efficient you are — it shows employers that your skills have been measured against a recognized standard, not just claimed.

Official registration channels for the AI-901 exam:

Booking early secures your preferred slot and gives your preparation a fixed target date.

The official outline organizes the AI-901 exam into weighted domains, including:

  • Identify AI concepts and responsibilities (40-45%)
  • Implement AI solutions by using Microsoft Foundry (55-60%)

The Microsoft Azure AI Fundamentals question bank at Pass4suresVCE is concise and refined around these same objectives — key points and current question types, with nothing redundant diluting your review.

The AI-901 exam presents 30-40 questions within 60 minutes minutes. Efficient preparation matters here: practicing concise, exam-aligned questions under time pressure builds the pace this format demands.

No required prerequisites; basic understanding of cloud computing and familiarity with Python syntax recommended

To save time is to lengthen life — and our delivery lives by that. Upon successful payment, our system automatically sends the AI-901 exam product to your email address, typically within about a minute, and the confirmation page offers instant download as well. If the email is missing, check your spam folder; after 2 hours without it, contact support. Your purchase also includes 365 days of free updates, with new versions emailed automatically whenever they are released.

The passing score is 700 and the exam fee is $99 USD. Both are worth knowing early: the fee makes thorough preparation the economical choice, and the score gives your timed practice sessions a concrete target.

Yes, and that is its special advantage. The online APP version of the Microsoft Azure AI Fundamentals materials works on any electronic device — mobile phone, computer, tablet. Open it once in an online environment for the first time, and afterwards you can keep practicing the AI-901 exam questions even without a connection. Anywhere, anytime: the commute, the airport, the quiet corner with no signal. Your preparation schedule finally belongs to you.

Microsoft Azure AI Fundamentals Sample Questions:

Question #1

You deploy an Al system to assist with hiring decisions.
Company policy requires that human reviewers oversee Al-generated recommendations and remain responsible for final hiring decisions.
Which Microsoft responsible Al principle is this an example of?

  • A. accountability
  • B. reliability and safety
  • C. fairness
  • D. transparency
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for Pass4suresVCE members. You can sign-up / login (it's free).

Question #2

Select the answer that correctly completes the sentence.

Reveal Solution  Discussion  0

Correct Answer:


Question #3

Select the answer that correctly completes the sentence.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Evaluating model outcomes across demographic groups to reduce bias is an example of the Microsoft responsible AI principle of fairness .
The Microsoft responsible AI principle of fairness means AI systems should treat all people fairly and avoid unfair bias or discrimination across groups.
The other options are incorrect:
accountability means people and organizations remain responsible for AI systems and their effects.
privacy and security focuses on protecting data and controlling access.
transparency means users should understand when and how AI is being used, including system capabilities and limitations.

Question #4

You are developing a web app that processes invoices to calculate expenses.
You need to extract structured fields, including nested values, from the invoices by using a defined schema.
What should you use?

  • A. an optical character recognition (OCR)-only document processing pipeline
  • B. an analyzer in Azure Content Understanding in Foundry Tools
  • C. an Azure AI Search service
  • D. a transcription workflow in Azure Speech in Foundry Tools
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Pass4suresVCE members. You can sign-up / login (it's free).

Question #5

Select the answer that correctly complete the sentence.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

The completed sentence is:
Information extraction solutions that detect and read text in scanned documents and images rely on computer vision .
Detecting and reading text in scanned documents and images is typically done with OCR , which is a computer vision capability. Microsoft describes OCR as text recognition/text extraction that extracts printed or handwritten text from images and documents.

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