Description
This exam measures that you can describe the following: AI workloads and considerations; fundamental principles of machine learning on Azure; features of computer vision workloads on Azure; and features of Natural Language Processing (NLP) workloads on Azure. <br><br> This exam is an opportunity for you to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services. As a candidate for this exam, you should have familiarity with Exam AI-900’s self-paced or instructor-led learning material.<br><br> This exam is intended for you if you have both technical and non-technical backgrounds. Data science and software engineering experience are not required. However, you would benefit from having awareness of: Cloud basics and Client-server applications. You can use Azure AI Fundamentals to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.<br><br>
Adaptive Test Technology
We use our proprietary Adaptive Test Tech™ which adapts the questioning sequence and complexity based on the success of the questions attempted.
60
Questions
90 min
Duration
226
Question pool
Skills measured
- Describe Artificial Intelligence workloads and considerations 25%
- Describe fundamental principles of machine learning on Azure 30%
- Describe features of computer vision workloads on Azure 20%
- Describe features of Natural Language Processing (NLP) workloads on Azure 30%