Exam AI-900: Microsoft Azure AI Fundamentals Practice Tests

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课程名称:Exam AI-900: Microsoft Azure AI Fundamentals Practice Tests 课程概述: AI-900: Microsoft Azure AI Fundamentals Comprehensive是一门前沿课程,旨在为个人提供对Microsoft Azure平台内人工智能(AI)全面的理解。该课程非常适合希望提升AI技术知识和技能的专业人士以及对AI世界感兴趣的初学者。课程的重要特点之一是实践考试,允许学生在参加正式考试前测试自己的知识和技能,帮助他们评估自身对材料的理解程度,并识别改进的领域。 课程内容涵盖AI概念与原则,重点在于它们在Microsoft Azure平台上的应用。学生将学习关键的AI技术,如机器学习、自然语言处理、计算机视觉等,并获得Azure AI服务的实操经验,包括Azure认知服务、Azure机器学习和Azure机器人服务。课程中,学生可以接触到互动学习材料,包括视频、测验和实践实验,帮助他们巩固对AI概念的理解,并在实际案例中应用。 课程还设有专门的讲师为学生提供指导和支持,使他们能有条不紊地完成学习。经过课程学习,学生将拥有扎实的AI技术基础及其在Microsoft Azure平台上的应用知识,能够自信地参加官方的AI-900考试并获得Microsoft Azure AI Fundamentals专业认证。 AI-900考试详情: - 考试名称:Microsoft Certified - Azure AI Fundamentals - 考试代码:AI-900 - 考试费用:99美元 - 题目数量:40-60题,题型包括单选、多选、拖放及基于性能的题目 - 考试时长:60分钟,支持英语和日语 - 及格分数:700/1000 - 可用语言:英语、日语、韩语和简体中文 课程结论: AI-900: Microsoft Azure AI Fundamentals Comprehensive是希望提升AI技术知识和技能的个人的一门极具价值的课程。凭借实践考试功能、全面的课程大纲和互动学习材料,该课程为不同水平的学生提供了丰富且引人入胜的学习体验,无论是经验丰富的专业人士还是初入AI领域的初学者,均可通过本课程获得在快速发展的人工智能领域中取得成功所需的知识和技能。

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课程详情

AI-900: Microsoft Azure AI Fundamentals Comprehensive is a cutting-edge course designed to provide individuals with a comprehensive understanding of artificial intelligence (AI) within the Microsoft Azure platform. This course is ideal for professionals looking to enhance their knowledge and skills in AI technology, as well as for beginners who are interested in exploring the world of AI.One of the key features of this course is the Practice Exam, which allows students to test their knowledge and skills before taking the official exam. This feature provides a valuable opportunity for students to assess their understanding of the material and identify areas for improvement. The Practice Exam is designed to simulate the format and difficulty level of the official exam, giving students a realistic preview of what to expect on exam day.In addition to this Practice Exam, this course offers a comprehensive overview of AI concepts and principles, with a focus on how they are applied within the Microsoft Azure platform. Students will learn about key AI technologies such as machine learning, natural language processing, computer vision, and more. They will also gain hands-on experience with Azure AI services, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services.Throughout the course, students will have the opportunity to engage with interactive learning materials, including videos, quizzes, and hands-on labs. These materials are designed to help students reinforce their understanding of AI concepts and apply them in real-world scenarios. Students will also have access to a dedicated instructor who can provide guidance and support as they progress through the course.By the end of the course, students will have a solid foundation in AI technology and its applications within the Microsoft Azure platform. They will be well-prepared to take the official AI-900 exam and earn their certification as a Microsoft Azure AI Fundamentals professional.AI-900: Microsoft Azure AI Fundamentals Comprehensive is a highly valuable course for individuals looking to enhance their knowledge and skills in AI technology. With its Practice Exam feature, comprehensive curriculum, and interactive learning materials, this course provides a comprehensive and engaging learning experience for students of all levels. Whether you are a seasoned professional or a beginner in the field of AI, this course will equip you with the knowledge and skills you need to succeed in the fast-paced world of artificial intelligence.AI-900: Microsoft Azure AI Fundamentals Exam details:Exam Name: Microsoft Certified - Azure AI FundamentalsExam Code: AI-900Exam Price: $99 (USD)Number of Questions: Maximum of 40-60 questions,Type of Questions: Multiple Choice Questions (single and multiple response), drag and drops and performance-based,Length of Test: 60 Minutes. The exam is available in English and Japanese languages.Passing Score: 700 / 1000Languages: English, Japanese, Korean, and Simplified ChineseSchedule Exam: Pearson VUEAI-900: Microsoft Azure AI Fundamentals Certification Exams skill questions:Skill Measurement Exam Topics:-Describe Artificial Intelligence workloads and considerations (15-20%)Describe fundamental principles of machine learning on Azure (20-25%)Describe features of computer vision workloads on Azure (15-20%)Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)Describe features of generative AI workloads on Azure (15-20%)Describe Artificial Intelligence workloads and considerations (15-20%)Identify features of common AI workloadsIdentify features of content moderation and personalization workloadsIdentify computer vision workloadsIdentify natural language processing workloadsIdentify knowledge mining workloadsIdentify document intelligence workloadsIdentify features of generative AI workloadsIdentify guiding principles for responsible AIDescribe considerations for fairness in an AI solutionDescribe considerations for reliability and safety in an AI solutionDescribe considerations for privacy and security in an AI solutionDescribe considerations for inclusiveness in an AI solutionDescribe considerations for transparency in an AI solutionDescribe considerations for accountability in an AI solutionDescribe fundamental principles of machine learning on Azure (20-25%)Identify common machine learning techniquesIdentify regression machine learning scenariosIdentify classification machine learning scenariosIdentify clustering machine learning scenariosIdentify features of deep learning techniquesDescribe core machine learning conceptsIdentify features and labels in a dataset for machine learningDescribe how training and validation datasets are used in machine learningDescribe Azure Machine Learning capabilitiesDescribe capabilities of automated machine learningDescribe data and compute services for data science and machine learningDescribe model management and deployment capabilities in Azure Machine LearningDescribe features of computer vision workloads on Azure (15-20%)Identify common types of computer vision solutionIdentify features of image classification solutionsIdentify features of object detection solutionsIdentify features of optical character recognition solutionsIdentify features of facial detection and facial analysis solutionsIdentify Azure tools and services for computer vision tasksDescribe capabilities of the Azure AI Vision serviceDescribe capabilities of the Azure AI Face detection serviceDescribe features of Natural Language Processing (NLP) workloads on Azure (15-20%)Identify features of common NLP Workload ScenariosIdentify features and uses for key phrase extractionIdentify features and uses for entity recognitionIdentify features and uses for sentiment analysisIdentify features and uses for language modelingIdentify features and uses for speech recognition and synthesisIdentify features and uses for translationIdentify Azure tools and services for NLP workloadsDescribe capabilities of the Azure AI Language serviceDescribe capabilities of the Azure AI Speech serviceDescribe features of generative AI workloads on Azure (15-20%)Identify features of generative AI solutionsIdentify features of generative AI modelsIdentify common scenarios for generative AIIdentify responsible AI considerations for generative AIIdentify capabilities of Azure OpenAI ServiceDescribe natural language generation capabilities of Azure OpenAI ServiceDescribe code generation capabilities of Azure OpenAI ServiceDescribe image generation capabilities of Azure OpenAI ServiceIn conclusion, AI-900: Microsoft Azure AI Fundamentals Comprehensive is a highly valuable course for individuals looking to enhance their knowledge and skills in AI technology. With its Practice Exam feature, comprehensive curriculum, and interactive learning materials, this course provides a comprehensive and engaging learning experience for students of all levels. Whether you are a seasoned professional or a beginner in the field of AI, this course will equip you with the knowledge and skills you need to succeed in the fast-paced world of artificial intelligence.

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