Microsoft AI-900 MCQs with Answers 2026 -

40+

MCQs Covered

Topics Covered

100%

Free Access

2026

Updated For

The Microsoft Azure AI Fundamentals (AI-900) certification is one of the most in-demand entry-level AI credentials in the tech industry today. It validates your understanding of AI workloads, machine learning concepts, and Microsoft Azure AI services. Whether you are a developer, business analyst, or IT professional, this certification proves your foundational AI knowledge to employers worldwide. Practice these fully solved MCQs to walk into your exam with complete confidence.

🤖 AI Concepts
Fundamentals
🧠 Machine Learning
Azure ML
👁️ Computer Vision
Azure Vision
💬 NLP Services
Language AI
🤝 Generative AI
Azure OpenAI

🤖

Table of Contents

Topic 1 — AI Concepts & Workloads

Core AI definitions, workload types, and responsible AI principles

Question 01

Which of the following best describes Artificial Intelligence?

ASoftware that only performs mathematical calculations

BThe simulation of human intelligence processes by computer systems ✅

CA programming language used for building websites

DA type of computer hardware component

💡 ExplanationAI is the simulation of human intelligence in machines, enabling them to learn from experience, adapt to new inputs, and perform tasks that normally require human cognition.

Question 02

Which of the following is a core principle of Microsoft’s Responsible AI framework?

AProfitability

BSpeed of deployment

CFairness ✅

DCost reduction

💡 ExplanationMicrosoft’s Responsible AI framework is built on six core principles: Fairness, Reliability & Safety, Privacy & Security, Inclusiveness, Transparency, and Accountability. These guide how AI systems should be designed and deployed ethically.

Question 03

Which AI workload involves predicting a numeric value based on historical data?

ARegression ✅

BClassification

CClustering

DAnomaly Detection

💡 ExplanationRegression is used to predict continuous numeric values — for example predicting house prices, sales revenue, or temperature based on historical data patterns.

Question 04

What type of AI workload detects unusual patterns that deviate from expected behavior?

ARegression

BClassification

CClustering

DAnomaly Detection ✅

💡 ExplanationAnomaly detection identifies data points or patterns that fall outside normal behavior. It is widely used in fraud detection, equipment failure prediction, and network security monitoring.

🧠

Topic 2 — Machine Learning on Azure

Azure Machine Learning, automated ML, and model training concepts

Question 05

What is Azure Machine Learning primarily used for?

ABuilding and hosting websites

BTraining, deploying, and managing machine learning models in the cloud ✅

CManaging email and calendar services

DStoring files and documents online

💡 ExplanationAzure Machine Learning is a cloud-based platform that allows data scientists and developers to build, train, evaluate, and deploy machine learning models efficiently at scale.

Question 06

What is “Automated Machine Learning” (AutoML) in Azure?

AA tool that automatically writes code for developers

BA feature that automatically tries multiple algorithms and selects the best performing model ✅

CA tool that automatically deploys applications to the cloud

DA system that manages database backups automatically

💡 ExplanationAutoML automates the time-consuming process of model selection and hyperparameter tuning. It tests many combinations of algorithms and settings, then selects the one with the best performance metrics.

Question 07

In machine learning, what is a “feature”?

AThe final output predicted by the model

BA function used to train models faster

CAn individual measurable input variable used to make predictions ✅

DThe size of the training dataset

💡 ExplanationFeatures are the input variables used by a machine learning model to make predictions. For example in a house price model, features could include square footage, number of bedrooms, and location.

Question 08

What does “overfitting” mean in machine learning?

AWhen a model performs poorly on both training and test data

BWhen a model learns training data too well including noise, and performs poorly on new unseen data ✅

CWhen a model is trained on too little data

DWhen training takes too long to complete

💡 ExplanationOverfitting occurs when a model memorizes training data too precisely — including its noise and outliers — making it perform excellently on training data but poorly when presented with new, real-world data.

👁️

Topic 3 — Computer Vision on Azure

Azure AI Vision, Face API, Custom Vision services

Question 09

Which Azure service is used to analyze and extract information from images?

AAzure Blob Storage

BAzure AI Vision (formerly Computer Vision API) ✅

CAzure DevOps

DAzure Active Directory

💡 ExplanationAzure AI Vision provides powerful image analysis capabilities including object detection, image classification, optical character recognition (OCR), and facial detection using pre-built AI models.

Question 10

What is the purpose of Azure Custom Vision service?

ATo store custom images in the cloud

BTo edit and enhance photos automatically

CTo build and train your own image classification and object detection models with your own data ✅

DTo translate text found in images into other languages

💡 ExplanationAzure Custom Vision lets you train specialized image classification and object detection models using your own labeled images — without needing deep machine learning expertise.

💬

Topic 4 — Natural Language Processing on Azure

Azure AI Language, Speech, and Translator services

Question 11

Which Azure service is used to convert spoken language into written text?

AAzure Text Analytics

BAzure AI Speech — Speech to Text feature ✅

CAzure Translator

DAzure Language Understanding (LUIS)

💡 ExplanationAzure AI Speech provides speech-to-text transcription, text-to-speech synthesis, and speaker recognition. Its speech-to-text feature converts real-time or recorded audio into accurate written text.

Question 12

What does “sentiment analysis” do in Azure AI Language service?

AIdentifies whether the tone of text is positive, negative, or neutral ✅

BTranslates text from one language to another

CExtracts names and locations from text documents

DSummarizes long documents into short paragraphs

💡 ExplanationSentiment analysis evaluates the emotional tone in text and classifies it as positive, negative, or neutral — commonly used for analyzing customer reviews, social media feedback, and survey responses.

🤝

Topic 5 — Generative AI & Azure OpenAI

Azure OpenAI Service, Copilot, large language models

Question 13

What is the Azure OpenAI Service?

AA free chatbot available to all internet users

BA service that provides access to OpenAI’s powerful language models through the Azure cloud platform ✅

CA tool for managing open source software projects

DA free alternative to Microsoft Office applications

💡 ExplanationAzure OpenAI Service integrates OpenAI models like GPT-4 into the Azure ecosystem, giving businesses access to powerful generative AI with enterprise-grade security, compliance, and scalability.

Question 14

What is Microsoft Copilot primarily designed to do?

ATo replace Microsoft Office entirely

BTo manage cloud storage and databases

CTo assist users with writing, summarizing, coding, and completing tasks using AI inside Microsoft products ✅

DTo provide antivirus and security monitoring

💡 ExplanationMicrosoft Copilot is an AI assistant embedded into Microsoft 365 apps like Word, Excel, Teams, and Outlook. It uses large language models to help users draft content, summarize meetings, write formulas, and automate repetitive tasks.

Question 15

What does “grounding” mean in the context of Azure OpenAI and generative AI?

AInstalling the AI model on a local server

BReducing the size of an AI model to save storage

CMaking the AI speak multiple languages at the same time

DProviding an AI model with specific real-world data to produce more accurate and relevant responses ✅

💡 ExplanationGrounding connects a generative AI model to your own specific data sources so its responses are anchored in real, up-to-date, and contextually relevant information rather than relying only on its pre-trained knowledge.

💡 Top Tips to Pass Microsoft AI-900 in 2026

🎯

Know Azure Services

Match each AI task to the correct Azure service name

📋

Learn the 6 AI Principles

Microsoft’s Responsible AI principles are heavily tested

🔄

Use Free Practice Tests

Microsoft Learn offers free official AI-900 practice assessments

Frequently Asked Questions

❓ Is the Microsoft AI-900 exam hard?

AI-900 is considered an entry-level certification and is beginner-friendly. With consistent practice using MCQs like those on this page and studying the official Microsoft Learn modules, most candidates pass on their first attempt.

❓ How many questions are in the AI-900 exam?

The AI-900 exam typically contains between 40 to 60 questions. You have 45 minutes to complete it and need a score of 700 or higher out of 1000 to pass.

❓ Is the AI-900 exam free?

The exam costs approximately $165 USD. However, Microsoft frequently offers free vouchers through events, virtual training days, and their Microsoft Learn platform — always check for promotions before booking.

❓ Does AI-900 expire?

Microsoft Azure fundamentals certifications including AI-900 do not expire. Once earned, the certification is valid permanently, though renewing your knowledge with updated learning resources is always recommended.