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AI-900 Microsoft Azure AI Fundamentals AI-900 practice test

Use this page to practise AI-900 Microsoft Azure AI Fundamentals AI-900 practice test. The goal is not to memorise dumps, but to understand the concept, review the explanation and improve your exam readiness. Microsoft certification exams often test whether you can choose the right Azure, Microsoft 365, identity, security or monitoring action for a realistic administrative scenario. Courseiva helps you practise with structured questions and explanations.

501
practice questions
Mapped
exam topics
AI-900
exam code
Microsoft
vendor
Last reviewed: May 2026 · aligned to official blueprint

Exam guide

How to use this AI-900 practice test

Start with a short practice session, review each missed answer, then return to the topics that caused mistakes.

Quick answer

Cloud concepts questions usually test the service model (IaaS/PaaS/SaaS) and deployment model (public/private/hybrid/community) appropriate for a given scenario.

IaaS, PaaS and SaaS responsibilities and examples.

Public, private, hybrid and community cloud deployment models.

On-premises vs cloud trade-offs: cost, control, scalability.

How cloud connectivity options (VPN, Direct Connect, ExpressRoute) work.

Related practice questions

Focused AI-900 topic practice pages

Use these internal links to move from the exam guide into focused topic practice pages.

Sample questions from this exam

Question 1easymultiple choice
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A parking management company uses cameras at the entrance and exit of a lot. They need to automatically read the license plate numbers of each car as it enters and exits. Which Azure Computer Vision capability is specifically designed for this task?

Question 2easymultiple choice
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A retail company wants to predict the exact number of units of a product that will be sold next month. They have historical sales data and information about promotions and holidays. The target variable is the number of units sold, which is a continuous value. Which type of machine learning task should they perform?

Question 3easymultiple choice
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A social media company uses an AI system to automatically filter hate speech. After deployment, they discover the system flags posts from a specific ethnic group at a much higher rate than posts from other groups, even when the content is similar. Which Microsoft responsible AI principle is most directly relevant?

Question 4mediummultiple choice
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A city's traffic department wants to predict the number of cars that will cross a particular bridge each day to plan maintenance schedules. The output of the model should be a numerical value representing the estimated traffic count. Which type of machine learning task is this?

Question 5hardmultiple choice
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A bank deploys an AI system that uses a complex deep learning model to approve or reject loan applications. When a loan is rejected, customers demand to know the specific reasons. The bank wants to ensure the AI system operates in a way that allows them to explain its decisions. Which Microsoft responsible AI principle is most directly relevant to this requirement?

Question 6hardmultiple choice
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A bank deploys an AI system that uses a deep neural network to approve personal loan applications. A customer whose loan was rejected requests a detailed explanation of why the decision was made. The bank's AI team realizes that the model's internal workings are too complex to provide a simple, understandable reason. According to Microsoft's responsible AI principles, which principle is most directly violated by this situation?

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