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Instant Download Microsoft : AI-901 Questions & Answers as PDF & Test Engine
- Exam Code: AI-901
- Exam Name: Microsoft Azure AI Fundamentals
- Updated: Oct 16, 2026
- No. of Questions: 132 Questions and Answers
- Download Limit: Unlimited
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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 |
| Available Languages: | Korean, Japanese, English, German, Chinese (Simplified), French, Chinese (Traditional), Portuguese (Brazil), Spanish |
| Certificate Validity Period: | Does not expire (Fundamentals certification) |
| Passing Score: | 700 (out of 1000) |
| Related Certifications: | Microsoft Azure Data Fundamentals (DP-900) Microsoft Azure Fundamentals (AZ-900) |
| Exam Format: | Multiple response, Case study (limited), Drag and drop, Multiple choice |
| Exam Duration: | 60 minutes |
| Exam Price: | Approx. 99 USD (varies by region) |
| Real Exam Qty: | 40-60 |
| Recommended Training: | Azure AI Fundamentals Course Microsoft Learn - AI-900 Learning Path |
| Exam Registration: | Microsoft Certification Portal Schedule exam via Pearson VUE |
| Sample Questions: | DOWNLOAD DEMO |
| 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 |
|---|---|---|
| Topic 1: Describe features of natural language processing (NLP) workloads on Azure | 15-20% | - Text analysis
|
| Topic 2: Describe features of generative AI workloads on Azure | 10-15% | - Azure OpenAI and generative services
|
| Topic 3: Describe Artificial Intelligence workloads and considerations | 20-25% | - Identify features of common AI workloads
|
| Topic 4: Describe features of computer vision workloads on Azure | 15-20% | - Image analysis
|
| Topic 5: Describe fundamental principles of machine learning on Azure | 25-30% | - Machine learning concepts
|
Everything About Microsoft Azure AI Fundamentals, Asked and Answered
Microsoft Azure AI Fundamentals is an official Microsoft certification exam, listed under the code AI-901. Passing it earns you the Microsoft Azure AI Fundamentals certification, positioned at the Fundamentals level. It also connects to Microsoft Azure Data Fundamentals (DP-900), Microsoft Azure Fundamentals (AZ-900). For anyone aiming at a leadership track in IT, this credential is one of the clearest markers of verified skill.
Passing Microsoft Azure AI Fundamentals takes 700 (out of 1000), and the official registration fee is Approx. 99 USD (varies by region). Retakes charge the full Approx. 99 USD (varies by region) again, which is why accuracy in preparation matters more than volume. Validate your readiness with repeated Lead2Passed practice scores above the requirement before committing to a date.
The Microsoft Azure AI Fundamentals exam contains 40-60 questions to answer within 60 minutes. The SOFT engine from Lead2Passed imitates the real test scene on your computer and uses special methods to help you master questions and answers, so the official time limit becomes a practiced routine rather than a surprise.
No formal prerequisites required. Basic understanding of cloud computing and AI concepts is recommended.
Vendor requirements are revised periodically, so confirm the current conditions before registering via the official exam page.
Sign-up for Microsoft Azure AI Fundamentals goes through the official channels below.
One planning note: the exam is delivered Online proctored exam or in-person test center.
Microsoft recommends the following training for Microsoft Azure AI Fundamentals candidates.
Reinforce whichever training you pick with the 132 practice questions in the Lead2Passed AI-901 package, edited by experts who follow real test changes firsthand.
Three versions share the same verified content: the PDF prints unlimited copies for paper study, the SOFT engine imitates the real test scene on Windows PCs, and the APP version runs on all electronic products, which is why the majority of examinees choose it. A free demo lets you try before deciding, and after purchase updates are free for 365 days, extendable afterward at a 50% discount.
Worry-free shopping means a 100% money-back guarantee with stated conditions. Take the Microsoft Azure AI Fundamentals exam within 60 days of purchase; if you fail, you may claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are processed within 7 days. Alternatively, exchange for two other exam products of equal value, free, keeping the update service on your original purchase.
Delivery is immediate: files unlock for download at payment and are emailed to you within one minute. If nothing arrives within 2 hours, check spam and contact our 7/24 customer attendants, who reply within two hours. Installation is unlimited, and credit card payment keeps your money safe.
Microsoft Azure AI Fundamentals is structured into 5 official domains. The leading ones are Describe Artificial Intelligence workloads and considerations (20-25%), Describe features of computer vision workloads on Azure (15-20%), and Describe fundamental principles of machine learning on Azure (25-30%). The full topic breakdown appears above; accurate preparation starts with an accurate map.
Microsoft Azure AI Fundamentals Sample Questions:
Select the answer that correctly completes the sentence.
Correct Answer:
Explanation:
Correct selection: natural language processing
The correct answer is natural language processing . Interactive question answering requires an application to receive language from a user, interpret the meaning or intent of that language, and generate or retrieve an appropriate response. These are core capabilities associated with natural language processing (NLP) and modern generative AI systems.
Microsoft's current Azure AI Fundamentals study guide places text-oriented capabilities under AI workloads
, including generative and agentic AI, text analysis, speech, computer vision, and information extraction
. It also requires candidates to recognize scenarios involving text processing and to implement AI solutions that work with textual user input.
Computer vision is concerned with understanding or generating visual information such as images and video.
It would therefore apply to tasks such as image classification, object detection, OCR-related visual processing, or image interpretation-not ordinary text-based question answering.
Forecasting predicts future numerical or categorical values from historical data, such as future sales, demand, or resource usage. It does not describe conversational interaction with users.
Therefore, an application that interactively receives questions expressed in natural language and returns answers is fundamentally performing a natural language processing workload .
Study Guide Reference: Identify AI concepts and capabilities # Identify AI workloads # text analysis and generative AI scenarios.
For each of the following statements, select if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
Statement
Answer
Image analysis capabilities in Microsoft Foundry Tools can perform optical character recognition (OCR).
Yes
Image analysis capabilities in Microsoft Foundry Tools can generate captions and descriptive tags for images.
Yes
Image analysis capabilities in Microsoft Foundry Tools are designed primarily to create new images from text prompts.
No
Comprehensive and Detailed 150 to 250 words of Explanation From Azure AI Fundamentals/Course Guide
/topics:
The correct sequence is Yes, Yes, No.
The first statement is Yes. Azure Vision Image Analysis in Microsoft Foundry Tools supports optical character recognition (OCR). Microsoft documents Image Analysis 4.0 as supporting synchronous OCR through its Read capability, which extracts printed or handwritten text contained within images.
The second statement is also Yes. Image Analysis provides both captioning and image tagging. Captions generate a human-readable description of image content, while tags identify recognizable objects, scenes, actions, and other visual concepts. Microsoft explicitly lists capabilities such as Captions, Dense Captions, Tags, Object Detection, People detection, and Read/OCR as Image Analysis features.
The third statement is No. Image Analysis is primarily concerned with extracting information from existing images, not generating new images. Creating an image from a textual prompt is a generative AI/image- generation workload, typically performed by image-generation models. Image Analysis instead interprets visual input by extracting text, captions, tags, objects, and related information.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
Statement 1: Azure Content Understanding in Foundry Tools can analyze only PDF documents. = No Azure Content Understanding is not limited to PDF documents. It can analyze different content types, including documents, forms, images, audio, and video.
Statement 2: Azure Content Understanding in Foundry Tools results are returned in the JSON format. = Yes Azure Content Understanding returns structured analysis output in JSON format.
Statement 3: Azure Content Understanding in Foundry Tools can extract structured fields from documents and forms. = Yes Azure Content Understanding can extract structured fields from documents and forms by using analyzers and schemas.
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. fairness
- C. reliability and safety
- D. transparency
Correct Answer: A π³οΈ
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Correct Answer:
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