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Details on Azure services and differences among them. Documents that are critical to the success of the exam. Environment to take the exam in. Sufficient understanding of Azure and its services. High level of difficulty and many challenging questions. Sit for the exam to prove your skills. Affiliate marketing and earn money for yourself. Explanations that demonstrate your understanding. Receive a valuable document to help you pass the exam. Reliability of the exam. Desktop, laptop, and mobile devices. Subscribe to receive the latest study materials. Ensure you are comfortable with the exam environment. Formats suited for different learning styles.

For more info read reference:

Microsoft AI-900 Official Certification Learning Site

Training and Certification Guide

Exam policies and FAQs

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900

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About Azure AI Fundamentals Certification and Who It Is Intended for

The Microsoft Certified: Azure AI Fundamentals qualification authenticates the learner's understanding and skills in AI & ML concepts along with associated Azure services. In particular, the individual with this certification is competent in demonstrating their understanding of various workloads related to those terms along with their implementation in Azure cloud computing services. In addition, this certification is an excellent way to get a step ahead in the preparation for other role-based Azure certificates as well as showcasing one's skill in the fundamentals of ML as well as AI. All in all, the Azure AI Fundamentals validation form Microsoft is for beginners and thus, doesn't require any technical knowledge and expertise like, for example, engineering for software. However, some understanding of programming will help you a lot to easily nail test AI-900.

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Prerequisites

Microsoft AI-900 is a foundational-level certification exam. Therefore, the potential candidates are required to possess basic knowledge of the AI and ML concepts. They also need to have an understanding of the associated Microsoft Azure services. These individuals can have technical or non-technical backgrounds. They do not need to have software engineering or science experience before taking the test. However, some programming experience or knowledge would be an advantage for them.

The AI-900 exam is designed to validate the students’ knowledge of AI workloads & considerations, as well as attributes of computer vision workloads within Azure. It also certifies their understanding of the basic principles of ML on Azure and attributes of conversational Artificial Intelligence workloads on Azure. The applicants are also required to demonstrate their knowledge of the attributes of NLP (Natural Language Processing) workloads on Azure.

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Microsoft AI-900 中文 Exam Syllabus Topics:

SectionWeightObjectives
Features of computer vision workloads on Azure15–20%- Describe capabilities of Azure Custom Vision
- Identify types of computer vision solutions
- Describe capabilities of Azure Form Recognizer
- Describe capabilities of Azure Computer Vision
- Describe capabilities of Azure Face
Fundamental principles of machine learning on Azure15–20%- Describe machine learning pipelines
- Describe capabilities of Azure Machine Learning
- Describe core concepts of machine learning
- Describe automated machine learning
Features of Natural Language Processing (NLP) workloads on Azure15–20%- Describe capabilities of Azure Speech
- Describe capabilities of Azure Language
- Describe capabilities of Azure Translator
- Identify types of NLP solutions
Artificial Intelligence workloads and considerations15–20%- Identify types of AI workloads
- Describe considerations for developing AI solutions
- Describe responsible AI principles
Features of generative AI workloads on Azure20–25%- Describe use cases for generative AI
- Describe responsible AI practices for generative AI
- Describe generative AI concepts
- Describe capabilities of Azure OpenAI Service

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