| Exam Code | AI-900 |
| Exam Name | Microsoft Azure AI Fundamentals |
| Questions | 333 Questions Answers With Explanation |
| Update Date | July 16,2026 |
| Price |
Was : |
The demand for artificial intelligence literacy has skyrocketed across every industry. Whether you are a business analyst looking to optimize operations, a product manager managing an AI-first application, or an aspiring cloud engineer, validating your skills is essential. The Microsoft Certified: Azure AI Fundamentals (AI-900) certification remains the gold-standard entry point to prove your conceptual knowledge of machine learning, computer vision, and generative AI workloads on Microsoft Azure.
However, preparing for the exam can be tricky. Microsoft frequently updates its domains to keep up with rapid technological changes, especially with the integration of complex generative models. To ensure you pass on your very first attempt, you need highly accurate, up-to-date 2026 AI-900 Exam Dumps that align with Microsoft's current assessment criteria.
The AI-900 evaluation measures your ability to describe basic AI workloads, foundational machine learning concepts, computer vision capabilities, natural language processing scenarios, and generative AI features. It strikes a purposeful balance between theoretical data science paradigms and practical, real-world Azure product implementation.
Familiarize yourself with the structural framework and delivery metrics of the evaluation process prior to scheduling your official session.
Candidates will encounter an adaptive pool containing between 40 to 60 evaluation items per active session.
Questions balance traditional standard choice formats, structural drag-and-drop mechanics, graphical hot-spot targets, and scenario-driven logic matrices.
Your countdown timer provides a precise **45-minute window** of active testing time once the initial instructions conclude.
To unlock your certificate, you must achieve a minimum scaled baseline score of **700 out of 1000 available points**.
Fully accessible across numerous localized language variations including English, Japanese, Spanish, German, French, and Simplified Chinese.
Microsoft is advancing its fundamentals portfolio by launching the updated AI-901: Azure AI Fundamentals exam path to better match modern developer requirements, such as basic Python knowledge and building solutions in Microsoft Foundry.
However, because the official Azure AI Fundamentals certification itself never expires once it is on your transcript, passing the current AI-900 version before its structural lifecycle changes is highly advantageous. It allows business analysts, non-technical professionals, and technical beginners to secure this permanent career credential without being forced to master programmatic syntax or complex code-driven tools.
Exam Criteria, Prerequisites, and Audience Profile
A major advantage of Microsoft’s fundamentals track is its open, inclusive design. The testing criteria are intentionally architected to build accessibility for diverse professional backgrounds.
Prerequisites
There are zero formal technical prerequisites or prior certifications mandatory for booking your testing slot. You do not need a background in advanced calculus, an academic degree in data science, or years of software development experience.
Targeted Candidate Profile
The exam targets two key professional groups:
While no code writing is expected, candidates will benefit from a passing awareness of fundamental cloud structures (Infrastructure-as-a-Service, Platform-as-a-Service, Software-as-a-Service) and basic client-server app pathways.
While no code writing is expected, candidates will benefit from a passing awareness of fundamental cloud structures (Infrastructure-as-a-Service, Platform-as-a-Service, Software-as-a-Service) and basic client-server app pathways.
The 2026 AI-900 curriculum is segmented into five clear assessment pillars. The current syllabus assigns significant weight to generative AI and large language models (LLMs), meaning that using legacy or outdated study materials from previous years can lead to failure on test day.
The 2026 certification syllabus maps across five major evaluation pillars. Focus your prep time effectively by tracking the structural weights of each domain.
| Exam Domain Pillar | Syllabus Weight | Critical Focal Technologies |
|---|---|---|
| Domain 1 1. Describe AI Workloads and Considerations | 15% – 20%
|
Identification of core AI workloads (anomaly detection, forecasting, classification); core values of Responsible AI (Fairness, Reliability/Safety, Privacy/Security, Inclusiveness, Transparency, Accountability). |
| Domain 2 2. Describe Fundamental Principles of ML on Azure | 15% – 20%
|
Core machine learning definitions; distinguishing between regression, classification, and clustering algorithms; automated ML capabilities inside Azure Machine Learning Studio. |
| Domain 3 3. Describe Features of Computer Vision Workloads | 15% – 20%
|
Image classification, object detection, facial recognition, optical character recognition (OCR), and spatial analysis handled through Azure AI Vision services. |
| Domain 4 4. Describe Features of Natural Language Processing (NLP) | 15% – 20%
|
Text analysis, keyphrase extraction, sentiment classification, language translation, speech syntax, and conversational AI built via Azure Bot Service. |
| Highest Weight 5. Describe Features of Generative AI Workloads | 20% – 25%
|
Architecture of Large Language Models (LLMs); prompt engineering methodologies; capabilities of Azure OpenAI Service, Copilot features, and content filtering safety layers. |
Earning a Microsoft certified badge yields strong professional returns:
Discover how combining our flexible study files with interactive desktop simulation engines creates the ultimate, fail-proof training ecosystem.
| Core Metric | Premium PDF Training File | Interactive Test Simulator |
|---|---|---|
| Primary Focus | Deep conceptual learning, rapid core review, and absolute portability. | Testing execution mechanics, timing mastery, and anxiety reduction. |
| Study Environment | Flexible & Offline
Study instantly on any mobile smartphone, tablet, laptop, or physical printed pages. |
Simulated Testing Terminal
Completely mirrors the actual real-world Pearson VUE physical testing screen layout. |
| Question Format | Real 2026 examination questions compiled linearly with verified answer markers. | Fully interactive multiple-choice, complex drag-and-drop mechanics, and hot-spots with a countdown timer. |
| Explanatory Depth | High-Fidelity Context Comprehensive, step-by-step inline technical breakdowns of exact correct and incorrect distractors. | Performance Analytics Deep algorithmic scoring modules that map and flag your errors across specific domain paths. |
| Best Used For | Initial learning structural phases, quick daily commutes, and fast-paced final reviews right before entering the room. | Live practice simulations, assessing true baseline pass readiness, and hardening weak performance areas under pressure. |
| Strategic Value | Builds structural knowledge
Ensures you easily master underlying technical patterns. |
Sharpens tactical response
Maintains optimal speed so you never run out of your time limit. |
Do not leave success to chance by relying on just one format. Use the PDF Training File to secure your conceptual understanding, then pivot to the Interactive Test Simulator to perfect your exam execution.
Using the PDF File and the Test Engine together covers both sides of exam preparation. The PDF builds your technical knowledge and core understanding of Azure AI services, while the Test Engine trains your brain to handle the formatting, strict pacing, and pressure of the live 2026 AI-900 exam.
Q: Is the AI-900 exam difficult for complete non-technical beginners?
A: While it is a fundamentals-level test, it remains highly comprehensive. Microsoft includes realistic scenario questions that test specific differences between services—such as knowing when to implement a tailored Azure Machine Learning model versus utilizing a pre-packaged Azure AI Service API. Relying on premium practice questions ensures you understand these technical distinctions.
Q: Do I need to read, write, or debug Python scripts on this test?
A: No. The AI-900 exam focuses entirely on conceptual systems, operational capabilities, and business considerations. You will need to know what an AI workload achieves and how to deploy it responsibly, but you will not encounter software coding questions.
Q: How much does AI-900 cost?
A: The AI-900 (Microsoft Azure AI Fundamentals) exam fee is typically $99 USD.
Q: Is AI-900 being discontinued?
A: The AI-900 exam will retire on June 30, 2026,
Q: Is AI-900 for beginners?
A: This exam is intended for you if you have both technical and non-technical backgrounds.
You have an Azure subscription that uses Azure OpenAI. You need to create an original image of a rural scene to use on a website. What should you do?
A. From Azure Al Foundry, deploy a GPT-3.5 Turbo model and provide instructions to create the image of the rural scene.
B. From Microsoft Bing, search the term "rural scene" and download the results.
C. From GitHub Copilot, provide instructions to create the image of the rural scene.
D. From Azure Al Foundry, deploy a DALL-E model, and provide instructions to create the rural scene.
Which Azure OpenAI model should you use to summarize the text from a document?
A. Whisper
B. DALL-E
C. Codex
D. GPT
What should you implement to prevent hateful responses from being returned by a generative Al solution?
A. abuse monitoring
B. content filtering
C. fine-tuning
D. prompt engineering
In which two scenarios can you use the Azure Al Document Intelligence service (formerly Form Recognizer)? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
A. Extract the invoice number from an invoice.
B. Identify the retailer from a receipt.
C. Find images of products in a catalog.
D. Translate a form from French to English.
What should you use to identify similar faces in a set of images?
A. Azure Al Vision
B. Azure Al Custom Vision
C. Azure Al Language
D. Azure OpenAI Service
Which feature of the Azure Al Language service should you use to automate the masking of names and phone numbers in text data?
A. Personally Identifiable Information (Pll) detection
B. entity linking
C. custom text classification
D. custom named entity recognition (NER)
You ate building a Conversational Language Understanding model for an e-commerce business. You need to ensure that the model detects when utterances are outside the intended scope of the model. What should you do?
A. Export the model.
B. Create a new model.
C. Add utterances to the None intent.
D. Create a prebuilt task entity.
Which two actions can you perform by using the Azure OpenAI DALL-E model? Each correct answer presents a complete solution. NOTE: Each correct answer is worth one point.
A. Create images.
B. Use optical character recognition (OCR).
C. Detect objects in images.
D. Modify images.
E. Generate captions for images.
You need to convert handwritten notes into digital text. Which type of computer vision should you use?
A. optical character recognition (OCR)
B. object detection
C. image classification
D. facial detection
What is a form of unsupervised machine learning?
A. multiclass classification
B. clustering
C. binary classification
D. regression
Which Azure Machine Learning capability should you use to quickly build and deploy a predictive model without extensive coding?
A. ML pipelines
B. Copilot
C. DALL-E
D. automated machine learning (automated ML)
What is an example of a Microsoft responsible Al principle?
A. Al systems should treat people fairly.
B. Al systems should NOT reveal the details of their design.
C. Al systems should use black-box models.
D. Al systems should protect the interests of developers.
You deploy the Azure OpenAI service to generate images. You need to ensure that the service provides the highest level of protection against harmful content. What should you do?
A. Configure the Content filters settings.
B. Customize a large language model (LLM).
C. Configure the system prompt
D. Change the model used by the Azure OpenAI service.
Capturing text from images is an example of which type of Al capability?
A. text analysis
B. optical character recognition (OCR)
C. image description
D. object detection
What is the maximum image size that can be processed by using the prebuilt receipt model in Azure Al Document Intelligence?
A. 5 MB
B. 10MB
C. 50 MB
D. 100 MB
You need to identify harmful content in a generative Al solution that uses Azure OpenAI Service. What should you use?
A. Face
B. Video Analysis
C. Language
D. Content Safety
Which natural language processing feature can be used to identify the main talking points in customer feedback surveys?
A. language detection
B. translation
C. entity recognition
D. key phrase extraction
What should you use to extract details from scanned images of contracts?
A. Azure Al Document Intelligence
B. Azure Al Immersive Reader
C. Azure OpenAI
D. Azure Al Search
You need to provide content for a business chatbot that will help answer simple user queries. What are three ways to create question and answer text by using Azure Al Language Service's question answering? Each correct answer presents a complete solution. NOTE: Each correct and ask questions by selection is worth one point.
A. Connect the bot to the Cortana channel using Cortana.
B. Import chit-chat content from a predefined data source.
C. Manually enter the questions and answers.
D. Use Azure Machine Learning Automated ML to train a model based on a file that contains question and answer pairs.
E. Generate the questions and answers from an existing webpage.
What should you do to ensure that an Azure OpenAI model generates accurate responses that include recent events?
A. Modify the system message.
B. Add grounding data.
C. Add few-shot learning.
D. Add training data.
What should you implement to identify hateful responses returned by a generative Al solution?
A. prompt engineering
B. abuse monitoring
C. content filtering
D. fine-tuning
Which term is used to describe uploading your own data to customize an Azure OpenAI model?
A. completion
B. grounding
C. fine -tuning
D. prompt engineering
Providing contextual information to improve the responses quality of a generative Al solution is an example of which prompt engineering technique?
A. providing examples
B. fine-tuning
C. grounding data
D. system messages
Which parameter should you configure to produce a more diverse range of tokens in the responses from a chat solution that uses the Azure OpenAI GPT-3.5 model?
A. Max response
B. Past messages included
C. Presence penalty
D. Stop sequence
You need to predict the population size of a specific species of animal in an area. Which Azure Machine Learning type should you use?
A. clustering
B. regression
C. classification
Be part of the conversation — share your thoughts, reply to others, and contribute your experience.
Technical question: what is the role of Azure AI Vision in computer vision tasks?
Most study material says Azure AI Vision helps analyze images and extract visual information.
Some practice questions about Azure AI services and cognitive APIs were very helpful.
Agreed, especially understanding AI workloads and cloud AI concepts.
I started preparing for the AI-900 exam using practice questions. Azure AI fundamentals are quite detailed.
Yes, the study material explains machine learning, NLP, and computer vision concepts very clearly.
Sun Hao
Some scenario questions about machine learning models were interesting.
Frederik Klein
Those usually test AI fundamentals and Azure service concepts.