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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-series-microsoft-azure-ai-fundamentals-ai-900/
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课程名称：Microsoft Azure AI Fundamentals AI-900考试备考：练习测试 概述： 如果你想通过Microsoft AI-900认证考试，这门课程正是你所需要的。课程经过精心设计，旨在帮助你轻松通过AI-900考试，并获得Microsoft Azure AI基础认证。 选择这门课程的理由包括： - **全面的解释**：每道题目都有清晰简明的解释，帮助你理解正确答案的原因。 - **详尽的课程覆盖**：练习考试内容超越AI-900考试的范围，确保你在备考时无所遗漏。 课程内容包括： - 描述人工智能工作负载和考虑事项 - 描述机器学习的基本原则 - 描述计算机视觉工作负载的特性 - 描述自然语言处理 (NLP) 工作负载的特性 - 描述生成性AI工作负载的特性 **基于领域的实践考试体验**：每个问题附带领域信息，帮助你识别改进领域。 **示例问题**： 你正在开发一个对话式AI解决方案，需要通过电子邮件、Microsoft Teams和网页聊天与用户互动。你应该使用哪个服务？ A. 文本分析 B. Azure Bot服务 C. 翻译器 D. 表单识别器 **解释**：为开发一个与用户多渠道互动的对话式AI解决方案，最适合的服务是 **B. Azure Bot服务**。原因如下： - Azure Bot服务专为构建、部署和管理机器人而设计。 - 提供多渠道支持，能轻松连接到Teams、网页聊天和电子邮件等平台。 - 拥有内置的自然语言处理能力，能够理解用户意图并生成适当的响应。 - 基础设施具有可扩展性和可靠性，能够处理大量用户。 尽管其他选项在特定情况下也相关，但都不是更适合的选择。 **考试详情**： AI-900考试的技能衡量包括： - 人工智能工作负载和考虑事项（15-20%） - Azure上的机器学习基本原则（20-25%） - Azure上的计算机视觉工作负载特性（15-20%） - Azure上的自然语言处理（NLP）工作负载特性（15-20%） - Azure上的生成性AI工作负载特性（15-20%） 考试信息： - 你可以在AI-900考试中预计约40-60道题目。 - 考试类型：基础考试 - 考试时长：45分钟 - 考试通过标准：分数在700以上（总分为1,000分） **适合对象**： - AI技术专业人士 - IT专业人士（希望通过深入了解Microsoft Azure拓展专业知识） - 商业分析师 - 企业家（希望利用云AI解决方案实现可扩展性） - 项目经理（希望更好地管理与Azure AI相关的项目） - 自由职业者（希望拓展AI服务范围的技术顾问） - 大学生（希望在AI就业市场中获得优势的计算机科学或IT学生） - 解决方案架构师（寻求设计Azure解决方案的AI专业人士） - 技术初学者（希望掌握AI基础云概念的人员） 祝你好运！希望你在考试中取得优异成绩！
Are you looking to get yourself certified on Microsoft AI-900 ?Congrats, you are at right place. Enroll and get certified yourself.This course is very carefully crafted so that you can easily pass the AI-900 exam and become proud by earning Microsoft Azure AI Fundamentals Certification.Thinking why to choose this one only ?Comprehensive Explanations: Questions are supported by crisp and clear explanation so that you can learn why this option is correct.Exhaustive Course Coverage: These practice exam covers even more than AI-900 exam, leaving no stone in your preparation.Describe Artificial Intelligence workloads and considerationsDescribe fundamental principles of machine learningDescribe features of computer vision workloadsDescribe features of Natural Language Processing (NLP) workloadsDescribe features of generative AI workloadsDomain based Practice Exam Experience: Domains are provided for every questions so that you can identity area of improvements.Sample QuestionYou are developing a conversational AI solution that will communicate with users through multiple channels including email, Microsoft Teams, and webchat. Which service should you use?A. Text AnalyticsB. Azure Bot ServiceC. TranslatorD. Form RecognizerExplanation-For developing a conversational AI solution that interacts with users across multiple channels like email, Microsoft Teams, and webchat, the most suitable service is:B. Azure Bot ServiceHere's why:Azure Bot Service is specifically designed for building, deploying, and managing bots: It provides a comprehensive platform for handling user interactions, natural language processing (NLP), and integration with various channels.Multiple channel support: Azure Bot Service seamlessly connects your bot to popular platforms like Teams, webchat, email, and even social media channels like Facebook Messenger. This eliminates the need for separate development for each channel.NLP capabilities: Built-in NLP features handle user queries, understand intent, and generate appropriate responses. You can also integrate with Azure LUIS for more advanced conversational understanding.Scalability and reliability: Azure Bot Service offers robust infrastructure to handle large volumes of users and ensure consistent performance across different channels. Although the other options might be relevant in specific scenarios, they are not ideal for your case:Text Analytics (A): Provides tools for text analysis and extraction, but doesn't handle user interactions or manage bots.Translator (C): Focuses on language translation and wouldn't be needed unless your bot requires multilingual communication.Form Recognizer (D): Extracts data from structured forms, which might be useful for specific tasks within the bot, but not the core functionality for a conversational AI solution.Therefore, Azure Bot Service is the most comprehensive and efficient option for building your multi-channel conversational AI solution. Remember, while Azure Bot Service is a great choice for Microsoft-based solutions, there are other platforms like Google Dialogflow and Amazon Lex that cater to other environments. The best choice ultimately depends on your specific needs and technical ecosystem.Exam DetailsSkills Measured in AI-900 ExamThe English language version of this exam will be updated on January 31, 2024. Review the study guide linked in the preceding "Tip" box for details about the skills measured and upcoming changes.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%)No of questions:You can expect around 40-60 questions in the AI-900 exam.AI-900 Exam Duration:Exam type: Fundamentals ExamsExam duration - 45 minutesSeat duration - 65 minutesAI-900 Exam Passing CriteriaAll technical exam scores are reported on a scale of 1 to 1,000.A passing score is 700 or greater. you need to score at least 70% to pass this exam.Good luck! Wishing you nothing but the best.Who this course is for:Any AI Technology ProfessionalIT Professionals - Those wanting to expand their expertise by diving into Microsoft Azure.Business Analysts: Individuals seeking to understand AI Azure to better align tech and business strategies.Entrepreneurs: Startup founders and business owners looking to leverage cloud AI solutions for scalability.PM: Tech PMs aiming to better manage Azure AI-related projects with foundational knowledge.Freelancers: Tech consultants aiming to broaden their AI service offerings with Azure capabilities.University Students: Computer Science or IT students desiring an edge in the AI job market.Solution Architects: AI Professionals seeking to design solutions on Azure and wanting a foundational understanding.Tech Beginner: Individuals new to the tech industry looking to grasp AI fundamental cloud concepts.
