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7. 10. 2024 v 9:16 #425500
Before diving into your AI-900 preparation, it’s essential to understand what the exam entails. The AI-900 certification is designed to test your foundational knowledge of AI concepts and how they are applied using Azure services. The exam has no prerequisites, so you don’t need prior experience with Azure or AI to take it. However, having a basic understanding of general IT concepts and cloud computing can be helpful.
The AI-900 exam includes questions from the following domains:- AI Workloads and Considerations
This section tests your knowledge of identifying features of common AI 900 Dumps workloads, such as computer vision, NLP, and machine learning. You’ll also be asked to explain how these workloads differ and where they can be applied. - Principles of Machine Learning on Azure
In this section, you’ll be required to demonstrate an understanding of core machine learning concepts. This includes supervised, unsupervised, and reinforcement learning, as well as how machine learning models are trained and evaluated. - Computer Vision on Azure
You’ll need to show your knowledge of computer vision workloads on Azure, such as object detection, facial recognition, and image classification. Understanding how these AI workloads are implemented using Azure services will be crucial for this section. - Natural Language Processing (NLP) on Azure
NLP is another essential topic in the AI-900 exam. You’ll be expected to explain how natural language processing is used to analyze text and speech, and how Azure services like Language Understanding (LUIS) and Text Analytics can help build AI solutions. - Conversational AI on Azure
This domain covers the basics of building conversational AI applications, such as chatbots, using Azure Bot Service and related tools.
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- AI Workloads and Considerations
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