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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-azure-ai-900-fundamentals-practice-test-384-qa/
课程评论：没有评论
**课程名称:** Microsoft Azure AI-900 基础认证模拟练习题 - 384道问答 **课程概述:** 欢迎参加Azure AI基础认证AI-900模拟练习课程！该课程专为准备Azure AI-900基础认证考试的学习者设计，通过提供高质量的模拟练习题，帮助您顺利通过考试。这些题目均来源于真实的过往考试。 **核心特色:** * **月度更新:** 考试题目每月更新，紧随考试要求变化，确保您获得最新、最相关的练习材料。 * **综合模拟考试:** 提供六套全面的模拟考试，每套包含64道题目，考试时长2小时。 * **真实考试体验:** 模拟真实考试的格式和题目类型，全部题目均来自过往实际考试。 * **高通过率保障:** 设定70%的最低通过率，帮助您建立信心和掌握必要知识。 * **详细解析:** 对每道题目均提供详尽的解析，并链接至Microsoft Azure官方资源，助您深入理解。 * **性能洞察:** 通过详细的性能分析，帮助识别您的优势和需要改进的领域。 * **技能与心态提升:** 培养您在AI-900考试中取得优异成绩所需的技能和应试心态。 **考试范围:** * 识别常见人工智能工作负载的特征 * 识别负责任AI的指导原则 * 描述常见的机器学习类型 * 描述核心机器学习概念 * 描述Azure机器学习工作室中视觉工具的功能 * 识别常见计算机视觉解决方案类型 * 识别Azure在计算机视觉任务中的工具和服务 * 识别常见自然语言处理（NLP）工作负载场景的特征 * 识别Azure在NLP工作负载中的工具和服务 * 识别Azure上对话式AI解决方案的考虑因素 **知识领域覆盖:** * 描述人工智能工作负载和考虑因素 (15-20%) * 描述Azure上机器学习的基础原则 (20-25%) * 描述Azure上计算机视觉工作负载的特征 (15-20%) * 描述Azure上自然语言处理（NLP）工作负载的特征 (15-20%) * 描述Azure上生成式AI工作负载的特征 (15-20%)
Welcome to the Azure AI Fundamentals AI-900 - Practice Test Course!Are you preparing for the Azure AI-900 Fundamentals certification exam? This course is designed to help you succeed by providing high-quality practice tests that are taken exclusively from the previous real exams. Monthly Updates - The tests are updated very frequently at least once every month to stay up to date with the new changes to the exam requirements.Overview:Six comprehensive practice exams, featuring 64 questions each.2-hours duration for each exam.Realistic exam format and question variety taken exclusively from the previous real exams. 70% minimum pass rate to ensure your confidence and expertise.Access to detailed explanations for every question, aiding your learning journey, with links to Microsoft Azure resources.Identify strengths and areas for improvement through detailed performance insights.Equip yourself with the skills and mindset to excel in the AI-900 exam.The scope of the exam:Identify features of common AI workloadsIdentify guiding principles for responsible AIIdentify common machine learning typesDescribe core machine learning conceptsDescribe capabilities of visual tools in Azure Machine Learning StudioIdentify common types of computer vision solutionIdentify Azure tools and services for computer vision tasksIdentify features of common NLP Workload ScenariosIdentify Azure tools and services for NLP workloadsIdentify considerations for conversational AI solutions on AzureThese updated practice tests will cover the following knowledge areas: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%)
