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To prepare to the Microsoft Azure AI Fundamentals test, we have different AI-900 test dump versions to satisfy examinees' exam need. The AI-900 practice test dumps of common PDF version are very convenient to use. You just download the files to your computer, your phone, ipad and any electronic devices to read. It just likes a AI-900 study guide book. If you are used to reading paper book, suggest you print the electronic PDF file out.
When the AI-900 practice test has a lot Microsoft Azure AI Fundamentals exam actual questions and answers, it's better to use exam simulator to prepare. It's a little hard for many people to understand and member so many questions in a short time. Using the AI-900 exam simulator engine, you will get more effective and quicker interactive learning in the process. And the Microsoft AI-900 exam simulator engine including PC test engine and online test engine will give you a pass mark % at the end of the test. The dumps content of two AI-900 test engine versions are all the same, the only difference that the pc test engine only supports windows operating system, the Microsoft Azure AI Fundamentals exam simulator of online test engine supports windows/Mac/Android/IOS operating systems.
Target Audience
The Microsoft AI-900 exam is designed for those individuals who have little to no experience in the world of IT. It is aimed at the students with both non-technical and technical backgrounds. They have basic programming experience and knowledge. However, they are not required to have software engineering or data science experience.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900
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For more info read reference:
Microsoft AI-900 Official Certification Learning Site
Training and Certification Guide
Studying with Revision Books
Apart from the training endorsed by the certification vendor, it’s a good idea to exhaust the study guides from Amazon. Thus, here’s what you need to know about the two must-have revision books for the Microsoft AI-900 certification exam prep:
- Azure AI Fundamentals: Study Guide and Practice Exam for Microsoft AI-900 Exam
This guide by David Voss is based on the current test curriculum and targets trainees looking to gain foundational knowledge of the AI solutions and services on Azure. It comprises practice test questions and explanations that are consistent with Microsoft’s online learning tools. So, if you want to prepare with confidence and pass your exam easily, get your Kindle copy today from Amazon for only around $12.
- Microsoft AI MVP Book: Practical Guide to Microsoft AI Written by 17 AI and Azure MVPs from all around the world
This book is a collection of skills and knowledge from a team of AI and Azure specialists with countless years of experience in the field. It is written by Microsoft Azure MVPs including Leila Etaati, Anupama Natarajan, Ashraf Ghonaim, Cameron Vetter, David Rendon, etc. who used their cumulative years of experience to design a definitive study guide and a solution for all trainees preparing for AI-900 exam. The authors state it categorically that this book does not intend to cover everything there’s to know about Microsoft AI. And that it is important to combine it with other study materials to have a better chance of passing the Microsoft AI-900 exam. In a nutshell, this guide targets AI and ML developers, architects, data scientists, .net developers, and consultants who are already familiar with the foundational AI concepts. Remember it is not your best guide if you are starting from a zero, but an excellent choice if you are already familiar with most of the concepts in this field.
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Microsoft AI-900 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Describe AI workloads and considerations | 15-20% | - Identify features of common AI workloads - Identify guiding principles for responsible AI |
| Describe features of Generative AI workloads on Azure | 15-20% | - Describe generative AI concepts - Identify responsible AI considerations for generative AI - Describe Azure OpenAI Service capabilities |
| Describe features of Natural Language Processing (NLP) workloads on Azure | 15-20% | - Identify common NLP tasks - Identify Azure AI services for NLP - Describe Azure capabilities for NLP |
| Describe fundamental principles of machine learning on Azure | 30-35% | - Identify common machine learning tasks - Describe features of no-code automated ML - Describe core machine learning concepts - Describe Azure Machine Learning capabilities |
| Describe features of computer vision workloads on Azure | 15-20% | - Describe Azure capabilities for computer vision - Identify common computer vision tasks - Identify Azure AI services for computer vision |
