Exam Name: Microsoft Azure AI Fundamentals
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified: Azure AI Fundamentals
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Updated: Oct 14, 2026
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- Total Questions: 132
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- Total Questions: 132
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Serious preparation deserves material that fits your habits, paper included. ITCertMagic delivers 132 verified practice questions for the AI-901 exam in a PDF version made for reading and note-taking.
Microsoft AI-901 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-901 |
| Real Exam Qty: | 30-40 |
| Passing Score: | 700 |
| Exam Duration: | 60 minutes |
| Exam Format: | Multiple choice, Multiple select, Case studies |
| Exam Price: | $99 USD |
| Available Languages: | Arabic (Saudi Arabia), Japanese, Russian, Korean, Portuguese (Brazil), Chinese (Traditional), Chinese (Simplified), Indonesian (Indonesia), English, German, Spanish, Italian, French |
| 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: | DOWNLOAD DEMO |
| 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:
| Section | Weight | Objectives |
|---|---|---|
| Implement AI solutions by using Microsoft Foundry | 55-60% | - Get started with Microsoft Foundry
|
| Identify AI concepts and responsibilities | 40-45% | - Identify AI concepts and features
|
Studying for the Microsoft Azure AI Fundamentals Exam: Answers
The Microsoft Azure AI Fundamentals exam contains 30-40 questions, and you will have 60 minutes minutes to complete them. Practicing within the same limits builds the pacing the real exam demands.
This package includes 132 practice questions for the Microsoft Azure AI Fundamentals exam. Every answer is verified by an experienced team of experts, so you can trust what you study.
The PDF version downloads in seconds and prints cleanly, so you can read on paper, flip through the pages freely, and write notes in the margins as you go. Marking each mistake on paper makes review sessions concrete: you see exactly which questions tripped you up and which topics need another round.
The Microsoft Azure AI Fundamentals practice questions are organized around the official exam objectives. Key topics include:
- Implement AI solutions by using Microsoft Foundry (55-60%)
- Identify AI concepts and responsibilities (40-45%)
Use your printed pages to flag the topics that give you trouble, then focus your next session there.
You can register for the Microsoft Azure AI Fundamentals exam through the official channels:
The Microsoft Azure AI Fundamentals exam requires a score of 700 to pass, and the official registration fee is $99 USD. Because the fee is significant, preparing thoroughly the first time is the practical choice.
No required prerequisites; basic understanding of cloud computing and familiarity with Python syntax recommended
You can confirm the current eligibility requirements on the official AI-901 exam page before you register.
Many candidates combine practice questions with official training. Recommended options include:
If you learn best with physical pages, the PDF version is built for you. Print the full 132 practice questions for the AI-901 exam, work through them anywhere without a device, and keep your annotated pages as a personal review guide. The PC and online versions remain available whenever you want interactive practice.
Microsoft Azure AI Fundamentals Sample Questions:
Select the answer that correctly completes the sentence.
Correct Answer:
Explanation:
The correct answer is endpoint of the model. After a vision-enabled GPT model is deployed in Microsoft Foundry, the deployment exposes an inference endpoint that applications can call programmatically. The application sends requests containing text and, when required, image content to the deployed model through the appropriate chat-completions API endpoint. Microsoft's documentation explicitly states that to use vision- enabled models, you call the Chat Completion API against a supported model that has been deployed.
The Foundry playground is primarily an interactive environment for testing prompts, model behavior, and multimodal inputs during development. It is not the production interface that an external application uses to submit inference requests. An evaluation pipeline is used to assess model or application quality against defined metrics and datasets, while a training dataset is associated with model training or fine-tuning rather than serving inference traffic.
Microsoft Foundry provides the endpoint and required authentication information after deployment.
Applications then invoke that endpoint using an SDK or REST API, passing text and image inputs as part of the request payload.
Select the answer that correctly completes the sentence.
Correct Answer:
Explanation:
When using the OpenAI Responses API and a vision-enabled model, you can include an image in a request by providing the image as a base64-encoded image data.
Azure OpenAI / Microsoft Foundry vision requests support image input as an input_image item. The image can be provided by URL or as base64-encoded image data in the request. Microsoft documentation for Azure OpenAI batch examples also lists Base64 encoded image and Image URL as supported input patterns for Responses API requests.
The other options are incorrect:
a CSV file attachment is not an image input format for vision analysis.
an MP4 video stream is video content, not an image format.
a shared access signature (SAS) token is only an access token for a protected resource; it is not the image data itself.
Select the answer that correctly completes the sentence.
Correct Answer:
Explanation:
The correct answer is natural language processing. In this scenario, a user communicates with a chatbot using ordinary human language, such as asking, "Will it rain today?" The chatbot must interpret the meaning and intent of the user ' s text, process the request, and formulate a natural-language response containing the relevant weather information. These are characteristic natural language processing (NLP) functions.
The current AI-901 study guide explicitly includes text analysis among the common AI workloads candidates must identify, and it also covers techniques for processing and interpreting human language. Microsoft documentation on conversational language understanding explains that conversational systems interpret user utterances to determine the user ' s intent and extract relevant information before the application performs an appropriate action.
Although the weather information itself may originate from a forecasting system, the scenario being tested centers on the chatbot interaction-understanding a natural-language question and responding conversationally. Therefore, prediction and forecasting is not the best classification of the complete interaction. Computer vision is also incorrect because no images or visual information are being analyzed.
Select the answer that correctly completes the sentence.
Correct Answer:
Explanation:
The completed sentence is:
An AI workload that produces new content based on user input is an example of generative AI.
Generative AI is used to create new content, such as text, images, code, audio, or other outputs, from user prompts or instructions.
The other options are incorrect:
content understanding extracts or interprets information from existing content.
information extraction identifies and extracts structured data from content.
text analysis analyzes existing text for entities, sentiment, key phrases, language, or summaries.
Your company wants to build a recycling machine for bottles. The recycling machine must use cameras to automatically identify bottles of the correct shape and reject all other items.
Which type of Al workload should the company use?
- A. knowledge mining
- B. natural language processing
- C. computer vision
- D. generative Al
Correct Answer: C π³οΈ
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