Microsoft Azure AI Fundamentals (AI-900中文版) : AI-900 中文

AI-900 中文 real exams

Exam Code: AI-900-CN

Exam Name: Microsoft Azure AI Fundamentals (AI-900中文版)

Updated: Jun 06, 2026

Q & A: 328 Questions and Answers

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The technologies that are tested on Microsoft AI-900 exam are necessary to develop intelligent operations based on cloud computing. Audience for this certification exam is individuals who work as computer programmers, developers, system administrators and project managers. Built for high-volume, high-speed web applications that use Azure, this Examines the skills required to develop intelligent cloud solutions. Smarter IT environments are the goal of this exam. Single sign-on for Azure, is an exam objective. Microsoft AI-900 exam dumps helps to make it easier for students to get this certification. Outline the business value of the exam. The importance of having this certification. Identify the technologies covered on Microsoft AI-900 exam. Gain a better understanding of the skills you'll need to develop intelligent cloud solutions.

Incredible opportunities are associated with this certification. Background on Azure and its products, services, networks, and the scalability of its computing infrastructure. Background of cloud computing in general. Automatically configure Azure virtual machines. Implement and configure SQL Server Integration Services (SSIS), Visual Studio Team Services (VSTS) and other Microsoft technologies. Predict the effects of each of the possible outcomes of the solution design. Led you to the final test. Ability to perform automated deployment of Azure services.

Workers who take this exam should have experience in the IT industry and should understand the architecture and business requirements of Azure. Leave no stone unturned. Personalized study plan for self-paced learning. Tests your knowledge in the whole Cloud Computing path from Azure to Office 365.

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Microsoft AI-900 中文 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Describe features of generative AI workloads on Azure: Features of generative AI solutions and capabilities of Azure OpenAI Service are discussed in this topic.
Topic 2
  • Describe fundamental principles of machine learning on Azure: It describes core machine learning concepts and Azure Machine Learning capabilities. Moreover, the topic also delves into identifying common machine-learning techniques.
Topic 3
  • Describe features of computer vision workloads on Azure: This topic discusses identifying common types of computer vision solution, Azure tools and services for computer vision tasks.
Topic 4
  • Describe features of Natural Language Processing (NLP) workloads on Azure: In this topic, questions about common NLP Workload Scenarios features, Azure tools, and services for NLP workloads appear.
Topic 5
  • Describe Artificial Intelligence workloads and considerations: It identifies specifications of common AI workloads and guiding principles for responsible AI.

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

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  • Europe - 105,000 EURO

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Explain Conversational Artificial Intelligence Workloads Features on Azure (15-20%)

In the last section, you will face with the following subtopics:

  • Identify the basic use cases for Conversational Artificial Intelligence (AI) – The students should be able to identify the features and usage for a range of elements. These include personal digital assistants, webchat bots, and telephone voice menus. It also covers the skills in identifying the basic features of conversational Artificial Intelligence solutions.
  • Establish Azure services for Conversational Artificial Intelligence – The potential candidates for the Microsoft AI-900 exam should have the capacity to identify the capabilities of Azure Bot Service and QnA Maker service.

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