Azure AI Fundamentals Practice Exams

AI-900

⭐ Most popularBeginnerFundamentalsGeneral

Foundational knowledge of AI and machine learning concepts and related Microsoft Azure services — AI workloads and considerations, machine learning principles, computer vision, natural language processing, and generative AI.

minutes

70%

passing score

$99

exam fee

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5 flashcard sets · 5 learning tests · 2 timed exams · 60-question bank

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Overview

What this certification is and how the exam works.

The Microsoft Certified: Azure AI Fundamentals credential validates foundational knowledge of AI and machine learning concepts, and how they are implemented using Microsoft Azure services. The exam covers AI workloads and responsible AI considerations, fundamental principles of machine learning on Azure, computer vision workloads, natural language processing (NLP) workloads, and generative AI workloads including Azure OpenAI Service. The exam has 40-60 questions in 45 minutes, and requires no prior technical experience with AI, though general familiarity with Azure is helpful.

Why should I take the exam?

What this credential does for your career.

1The entry point into Microsoft's AI certification path — no coding or technical experience required
2Covers Azure OpenAI Service and generative AI, the fastest-growing area of the Microsoft AI portfolio
3A common first step for developers, data professionals, and business stakeholders exploring AI on Azure
4A prerequisite-free foundation for follow-on certifications like Azure AI Engineer Associate (AI-102)

Skills measured

What you need to know to pass this exam.

✓Identify common AI workloads (e.g., anomaly detection, computer vision, NLP) and features of responsible AI
✓Describe fundamental machine learning concepts: regression, classification, and clustering
✓Describe core machine learning concepts in Azure Machine Learning: automated ML, the designer, and pipelines
✓Identify computer vision solutions: image classification, object detection, OCR, and facial detection
✓Describe features of Azure AI Vision, Azure AI Custom Vision, and Azure AI Face services
✓Identify features of common NLP workloads: key phrase extraction, entity recognition, and translation
✓Describe features of Azure AI Language and Azure AI Speech services
✓Identify features of generative AI solutions and describe capabilities of Azure OpenAI Service
✓Describe responsible AI principles: fairness, reliability and safety, privacy, inclusiveness, transparency, and accountability

About our AI-900 practice exams

Our Azure AI Fundamentals AI-900 question bank holds 60 exam-style questions with a written explanation on every answer, mapped to the five exam domains published for AI-900, covering AI Workloads & Responsible AI, Machine Learning Fundamentals, Computer Vision Workloads, Natural Language Processing Workloads and Generative AI Workloads.

Alongside the bank there are two full-length timed exams at the real 45-minute limit and 70% pass mark, plus five topic-based learning tests for working a single domain at a time. Randomised mock exams are dealt on demand from the full 60-question pool, so you never run out of fresh papers.

Questions: 60
Exam domains: 5
Timed exams: 2
Pass mark: 70%

How our practice content is created

Practice questions are independently developed using the official Microsoft AI-900 exam guide and Microsoft documentation. Each question is checked for alignment with the current exam objectives and reviewed for technical accuracy before publication.

The AI-900 bank cites 34 distinct Microsoft documentation pages, and every question links the source it was written against — so you can check any answer at first hand.

Official AI-900 exam guide

Microsoft is a trademark of its respective owner. This is an independent study resource and is not affiliated with, endorsed by, or authorised by Microsoft.