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AI-901 pdf
  • Exam Code: AI-901
  • Exam Name: Microsoft Azure AI Fundamentals
  • Updated: Oct 18, 2026
  • Q & A: 132 Questions and Answers
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  • Exam Code: AI-901
  • Exam Name: Microsoft Azure AI Fundamentals
  • Updated: Oct 18, 2026
  • Q & A: 132 Questions and Answers
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  • Exam Code: AI-901
  • Exam Name: Microsoft Azure AI Fundamentals
  • Updated: Oct 18, 2026
  • Q & A: 132 Questions and Answers
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Three advantages, one purchase: instant download, 365 days of free updates, and realistic simulation. That is the Prep4SureReview formula in 2026 for the Microsoft Azure AI Fundamentals exam, built around 132 practice questions.

Microsoft AI-901 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure AI Fundamentals
Exam Number:AI-901
Exam Duration:60 minutes
Real Exam Qty:30-40
Passing Score:700
Exam Format:Case studies, Multiple select, Multiple choice
Exam Price:$99 USD
Available Languages:Chinese (Traditional), German, English, Japanese, Chinese (Simplified), Indonesian (Indonesia), Arabic (Saudi Arabia), Italian, Korean, French, Spanish, Portuguese (Brazil), Russian
Certificate Validity Period:Lifetime
Recommended Training:Microsoft Learn: Get started with Microsoft Foundry
Microsoft Learn: AI concepts for developers and technology professionals
Exam Registration:Microsoft Certification Exam Registration
Pearson VUE Scheduling
Sample Questions:Free Download AI-901 Prep4sure dumps
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: Identify AI concepts and responsibilities40-45%- Describe principles of responsible AI
  • 1. Describe fairness considerations
  • 2. Describe privacy and security considerations
  • 3. Describe transparency considerations
  • 4. Describe inclusiveness considerations
  • 5. Describe reliability and safety considerations
  • 6. Describe accountability considerations
- Identify AI concepts and features
  • 1. Describe capabilities of machine learning
  • 2. Describe capabilities of computer vision
  • 3. Describe characteristics of generative AI
  • 4. Describe types of AI workloads
  • 5. Describe capabilities of natural language processing
- 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
Topic 2: Implement AI solutions by using Microsoft Foundry55-60%- Work with models in Microsoft Foundry
  • 1. Evaluate model performance and safety
  • 2. Discover and deploy foundation models
  • 3. Customize models with prompt engineering
  • 4. Fine-tune models
- Get started with Microsoft Foundry
  • 1. Create and configure a Foundry project
  • 2. Navigate the Microsoft Foundry portal
  • 3. Describe core features and use cases of Microsoft Foundry
- Implement AI solutions
  • 1. Monitor and manage AI solutions
  • 2. Integrate AI services into applications
  • 3. Use code examples to call AI services
  • 4. Implement single-agent solutions

Microsoft Azure AI Fundamentals Exam: Three Advantages, One Purchase

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.

The Microsoft Azure AI Fundamentals exam contains 30-40 to complete within 60 minutes. Timed simulation in the Prep4SureReview Desktop Test Engine teaches that rhythm before exam day does.

The official Microsoft Azure AI Fundamentals outline defines 2 domains. The leading three are Implement AI solutions by using Microsoft Foundry (55-60%), Identify AI concepts and responsibilities (40-45%). The full list is in the topics section above, and Prep4SureReview's 132 practice questions cover each one.

No required prerequisites; basic understanding of cloud computing and familiarity with Python syntax recommended Since requirements change over time, confirm the latest on the official Microsoft exam page before scheduling.

The Microsoft Azure AI Fundamentals exam requires 700 to pass, and registration costs $99 USD. A failed attempt means paying the same fee again — a readiness check with the Prep4SureReview engines before booking is the cheaper option.

The AI-901 exam is a Microsoft certification exam validating the Microsoft Azure AI Fundamentals syllabus shown above. Candidates in 2026 start with Prep4SureReview'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.

Microsoft recommends these training resources for the Microsoft Azure AI Fundamentals exam:

Follow the training with steady self-testing — the 132 practice questions from Prep4SureReview help you apply theory and fill any gaps the training leaves.

Prep4SureReview 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.

Online proctored or onsite at Pearson VUE test centers Register for the Microsoft Azure AI Fundamentals exam through these official channels:

After booking, Prep4SureReview delivers your practice questions within 1 minute — preparation starts the same day.

Microsoft Azure AI Fundamentals Sample Questions:

Question #1

Which action can be performed by using the Azure Vision in Foundry Tools service?

  • A. identifying breeds of animals in live video streams
  • B. creating thumbnails for training videos
  • C. extracting key phrases from documents
  • D. extracting data from handwritten letters
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for Prep4SureReview members. You can sign-up / login (it's free).

Question #2

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

Correct Answer: D  🗳️

Question #3

You have a Microsoft Foundry project that contains a vision-enabled model deployment.
You are developing an application that sends images to the model.
You need to ensure that the model can analyze the images.
In which two formats can you provide the images? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. a JSON document that describes the image content
  • B. a UTF-8 encoded text description of the image
  • C. a publicly accessible URL of the image
  • D. a base64 encoded image data string
Reveal Solution  Discussion  0

Correct Answer: C,D  🗳️

Explanation: Only visible for Prep4SureReview members. You can sign-up / login (it's free).

Question #4

You are building a chatbot that will use natural language processing (NLP) to perform the following actions based on the text input of a user:
* Accept customer orders
* Retrieve support documents
* Retrieve order status updates.
Which type of NLP should you use?

  • A. translation
  • B. language understanding
  • C. sentiment analysis
  • D. named entity recognition
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #5

You deploy a model named gpt-image-1 in Microsoft Foundry.
You need to ensure that an application can generate an image from a user prompt by using the OpenAI Images API.
How should you complete the Python code? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
images.generate
The canonical Python call is:
response = client.images.generate(
model= " gpt-image-1 " ,
prompt=prompt
)
The correct selection is images.generate . Microsoft's current Foundry documentation shows that image generation with a deployed GPT Image model uses the OpenAI Python SDK ' s Images API , specifically client.images.generate(). Microsoft provides an example using model= " gpt-image-1 " together with a text prompt, which directly corresponds to this scenario.
chat.completions.create is intended for chat-completion interactions rather than the standalone Images API.
images.create is not the documented Python SDK method for generating an image. responses.create belongs to the Responses API , which can also orchestrate image generation through an image-generation tool, but that is a different API pattern from the explicitly requested OpenAI Images API . Microsoft distinguishes the standalone image-generation API from image generation performed through the Responses API.
One important detail in the supplied exhibit is that it visually shows client.responses. before the dropdown.
Taken literally, client.responses.images.generate() would not be the documented syntax. For this question, the intended answer is clearly images.generate , yielding the documented form client.images.generate(...) .
Study Guide Reference: Microsoft Azure AI Fundamentals # Implement AI solutions by using Microsoft Foundry # Generative AI and image-generation models.

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