AI-900 Certification: Microsoft Azure AI Fundamentals [2026]

Detailed Exam Domain Coverage

• AI and data analytics with Microsoft Azure (70%)

• Describe cloud concepts and their benefits.

• Describe machine learning and its applications using Microsoft Azure services.

• Describe how to create a user-friendly experience using NLP in Microsoft Azure Cognitive services.

Course Description

I created this practice test course because I noticed a significant gap in how people prepare for the Microsoft Certified: Azure AI Fundamentals exam. Many resources provide high-level overviews, but they fail to test your knowledge against the specific scenarios and problem-solving formats you will actually face on test day.

To solve this, I have spent months building a massive database of 1500 highly targeted practice questions. My goal is to ensure you walk into the exam room completely confident. This course focuses heavily on the core exam domains: AI and data analytics with Microsoft Azure, implementing and managing machine learning, and communicating effectively with AI systems using Natural Language Processing (NLP).

Instead of just telling you if an answer is right or wrong, I have taken the time to write detailed explanations for every single option. This means every mistake you make during practice becomes a targeted study session, helping you understand exactly why a specific Azure service, like Computer Vision or Azure Machine Learning designer, is the correct tool for the job. Whether you are a student, a business professional, or an aspiring cloud engineer, this question bank is designed to validate your foundational knowledge of cloud-based AI and data analytics services.

Practice Questions Preview

Below is a sample of the types of questions, formatting, and detailed explanations you will find inside the course:

Question 1: You are designing an application that needs to automatically extract text, key-value pairs, and tables from scanned invoices and receipts. Which Azure service should you implement to accomplish this task?

• A) Azure AI Face

• A is incorrect because Azure AI Face is used to detect, recognize, and analyze human faces in images, not to extract text from documents.

Question 2: You want to build a machine learning model to predict customer churn, but you do not want to write any code. You prefer a visual interface where you can drag and drop datasets and data processing modules. Which tool should you use?

• A) Azure Machine Learning automated ML (AutoML)

• A is incorrect because while automated ML (AutoML) automates the process of model selection and training, it is typically driven by configuration or a wizard, whereas the scenario specifically asks for a visual drag-and-drop module canvas.

Question 3: Your company wants to create a conversational agent (bot) to answer common customer support questions. The bot needs to draw its answers directly from an existing FAQ document on your website. Which service helps you build this specific NLP experience?

• A) Azure AI Language (Question Answering)

• A is correct because the Question Answering feature of Azure AI Language (formerly QnA Maker) is designed exactly for this: extracting question-and-answer pairs from existing FAQ documents or URLs to power conversational bots.

Welcome to the Mock Exam Practice Tests Academy to help you prepare for your Microsoft Certified: Azure AI Fundamentals exam.

• You can retake the exams as many times as you want

I hope that by now you're convinced! And there are a lot more questions inside the course.