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Exam Number : AI-900
Exam Name : Microsoft Azure AI Fundamentals
Vendor Name : Microsoft
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AI-900 test Format | AI-900 Course Contents | AI-900 Course Outline | AI-900 test Syllabus | AI-900 test Objectives


EXAM NUMBER : AI-900

EXAM NAME : Microsoft Azure AI Fundamentals

Prove that you can describe the following: AI workloads and considerations; fundamental principles of machine learning on Azure; features of computer vision workloads on Azure; features of Natural Language Processing (NLP) workloads on Azure; and features of conversational AI workloads on Azure.





Candidates for the Azure AI Fundamentals certification should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.





This certification is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.


This certification is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required;

however- some general programming knowledge or experience would be beneficial.





Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate- but its not a prerequisite for any of them.





Describe AI workloads and considerations


Describe fundamental principles of machine learning on Azure


Describe features of computer vision workloads on Azure


Describe features of Natural Language Processing (NLP) workloads on Azure


Describe features of conversational AI workloads on Azure





Module 1: Introduction to AI


In this module- you'll learn about common uses of artificial intelligence (AI)- and the different types of workload associated with AI. You'll then explore considerations and principles for responsible AI development.





Artificial Intelligence in Azure


Responsible AI


After completing this module you will be able to:





Describe Artificial Intelligence workloads and considerations


Module 2: Machine Learning


Machine learning is the foundation for modern AI solutions. In this module- you'll learn about some fundamental machine learning concepts- and how to use the Azure Machine Learning service to create and publish machine learning models.





Introduction to Machine Learning


Azure Machine Learning


After completing this module you will be able to:





Describe fundamental principles of machine learning on Azure


Module 3: Computer Vision


Computer vision is a the area of AI that deals with understanding the world visually- through images- video files- and cameras. In this module you'll explore multiple computer vision techniques and services.





Computer Vision Concepts


Computer Vision in Azure


After completing this module you will be able to:





Describe features of computer vision workloads on Azure


Module 4: Natural Language Processing


This module describes scenarios for AI solutions that can process written and spoken language. You'll learn about Azure services that can be used to build solutions that analyze text- recognize and synthesize speech- translate between languages- and interpret commands.





After completing this module you will be able to:





Describe features of Natural Language Processing (NLP) workloads on Azure


Module 5: Conversational AI


Conversational AI enables users to engage in a dialog with an AI agent- or bot- through communication channels such as email- webchat interfaces- social media- and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.





Conversational AI Concepts


Conversational AI in Azure


After completing this module you will be able to:





Describe features of conversational AI workloads on Azure



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The AI-900 Microsoft Azure AI Fundamentals test is designed for individuals who want to demonstrate their knowledge and understanding of artificial intelligence (AI) concepts and how they can be applied to Azure services. The test covers a range of courses including AI workloads and considerations, fundamental principles of machine learning, and common types of machine learning models. The test also covers Azure AI services, including Cognitive Services and Bot Services, and their use cases.

The AI-900 test is ideal for individuals who are looking to start their career in AI and want to gain a fundamental understanding of AI concepts and Azure AI services. The test is also suitable for developers who are looking to build AI solutions on Azure and want to understand the different services and tools available.

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The online test engine provided by Killexams.com is an effective tool for test preparation. It simulates the test environment and allows individuals to practice taking the test under timed conditions. The online test engine also provides detailed feedback on performance, highlighting areas where individuals may need to focus their study.

In addition to test questions and an online test engine, individuals can also benefit from online courses and training materials. Microsoft offers a range of online courses that cover the courses included in the AI-900 exam. These courses are designed to provide individuals with a deep understanding of AI concepts and Azure AI services.

The AI-900 test is a great starting point for individuals who are looking to start their career in AI or want to gain a fundamental understanding of AI concepts and Azure AI services. The test is designed to test individuals on their knowledge and understanding of AI concepts and how they can be applied to Azure services.

To help you evaluate our material, you may obtain a free AI-900 sample PDF with example TestPrep that we provide. This sample allows you to review content and approach before deciding on Premium materials..

The Microsoft Azure AI Fundamentals VCE test files with 273 MCQs are compatible with multiple devices, including Windows, macOS, iOS, and Android, and can be used for both online and offline study. The PDF format is printable, making it easy to study during travel or when away from a computer. Access to updated materials is available through your online account.

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AI-900 test is an excellent opportunity for individuals to demonstrate their knowledge and understanding of AI concepts and Azure AI services. With the help of test questions, an online test engine, and online courses, individuals can prepare effectively for the test and gain the confidence they need to succeed.


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The Online Test Engine maintains practice history, performance summaries, and visual progress reports. Where available, questions may include explanations or reference information to support better understanding of test topics. Content is reviewed and updated periodically to reflect relevant syllabus changes and maintain consistency with test objectives.



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Desktop Test Engine Questions : 273
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By practicing with the Microsoft Azure AI Fundamentals test Simulator, candidates can become familiar with question formats, test navigation, and time-based testing conditions similar to those used in official exams. This experience helps users build confidence across test courses and identify areas that may require additional study.

Desktop  test Simulator Fullscreen Interface Desktop  test Simulator Control Panel    Desktop  test Simulator Settings Panel    Desktop  test Simulator Test Screen    Desktop  test Simulator Result Screen    Desktop  test Simulator Performance Graph    Desktop  test Simulator Test History


The Desktop test Simulator records practice history, performance summaries, and graphical progress reports. Where available, questions may include explanations or reference information to support understanding of correct and incorrect answers. The simulator content is reviewed and updated periodically to remain aligned with current test objectives and syllabus requirements.


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