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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practice-exam-microsoft-azure-ai-900-fundamentals/
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课程名称：Microsoft Azure AI-900基础知识实践考试：2025 概述：欢迎来到这门旨在帮助你获得Microsoft Azure AI基础知识（AI-900）认证的终极实践考试课程！如果你准备好通过Microsoft Azure AI基础知识（AI-900）认证考试，那么通过本课程的全新模拟测试来测试自己吧。此套装包含6个完整的模拟测验，每个测试提供一整套考试问题，帮助你确认自己对知识点的掌握情况，并提升通过正式认证考试的信心。 此套模拟测试有时间限制，让你清楚自己在测试中是否超过官方考试的时间限制。测试结束后，你将获得个人的正误题目分析，以提高知识储备，帮助你更加准备好参加真实的微软考试。 AI-900：Microsoft Azure AI基础知识考试详情： - 考试名称：Microsoft Certified - Azure AI Fundamentals - 考试代码：AI-900 - 考试费用：99美元（USD） - 问题数量：最多40-60道题 - 题型：选择题（单选和多选）、拖放题和基于性能的题目 - 测试时长：60分钟 - 考试语言：英文和日文 - 通过分数：700 / 1000 - 可用语言：英文、日文、韩文和简体中文 - 考试预约：Pearson VUE AI-900的考点包括： 1. 描述人工智能工作负载与考量（20-25%） 2. 描述Azure上机器学习的基本原理（25-30%） 3. 描述Azure上计算机视觉工作负载的特点（15-20%） 4. 描述Azure上自然语言处理（NLP）工作负载的特点（25-30%） 该认证考试可以为你准备其他基于Azure角色的认证（如Azure数据科学家助理或Azure AI工程师助理）提供基础，但不是任何认证的先决条件。如果你通过此认证考试，可能有资格获得ACE大学学分。 通过本课程，证明你能够描述以下内容：人工智能工作负载及考量；Azure上机器学习的基本原理；Azure上计算机视觉工作负载的特点；以及Azure上自然语言处理（NLP）工作负载的特点。
Welcome to the ultimate practice exams course designed to give you the winning edge in your journey to becoming Microsoft Azure AI Fundamentals - AI-900 certified!Are you ready to pass the Microsoft Azure AI Fundamentals (AI-900) certification exam? Find out by testing yourself with this new offering on Udemy. Each of the 6 full practice tests in this set provides an entire exam's worth of questions, enabling you to confirm your mastery of the topics and providing you with the confidence you'll need to take your Microsoft Azure AI Fundamentals (AI-900) Certification exam.The tests in this set are timed, so you'll know when you're taking more time than the official test allows, and at the end of the test, you'll receive a personal breakdown of the questions you answered correctly and incorrectly to improve your knowledge and make you more prepared to pass the actual Microsoft exam.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 (20-25%)Describe fundamental principles of machine learning on Azure (25-30%)Describe features of computer vision workloads on Azure (15-20%)Describe features of Natural Language Processing (NLP) workloads on Azure (25-30%)##) Describe Artificial Intelligence workloads and considerations (20-25%)Identify features of common AI workloadsIdentify features of anomaly detection workloadsIdentify computer vision workloadsIdentify natural language processing workloadsIdentify knowledge mining 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 solution#) Describe fundamental principles of machine learning on Azure (25-30%)Identify common machine learning typesIdentify regression machine learning scenariosIdentify classification machine learning scenariosIdentify clustering machine learning scenariosDescribe core machine learning conceptsIdentify features and labels in a dataset for machine learningDescribe how training and validation datasets are used in machine learningDescribe capabilities of visual tools in Azure Machine Learning StudioAutomated machine learningAzure Machine Learning designer#) Describe 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 tasksIdentify capabilities of the Computer Vision serviceIdentify capabilities of the Custom Vision serviceIdentify capabilities of the Face serviceIdentify capabilities of the Form Recognizer service#) Describe features of Natural Language Processing (NLP) workloads on Azure (25-30%)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 workloadsIdentify capabilities of the Language serviceIdentify capabilities of the Speech serviceIdentify capabilities of the Translator serviceIdentify considerations for conversational AI solutions on AzureIdentify features and uses for botsIdentify capabilities of Power Virtual Agents and the Azure Bot serviceAzure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it is not a prerequisite for any of them.You may be eligible for ACE college credit if you pass this certification exam. See ACE college credit for certification exams for details.Prove that you can describe the following: AI workloads and considerations; fundamental principles of machine learning on Azure; features of computer vision workloads on Azure; and features of Natural Language Processing (NLP) workloads on Azure.
