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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-900-microsoft-azure-ai-fundamentals-exams-practice-test/
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课程名称：AI-900：Azure AI基础知识考试模拟测试（最新） 课程概述： AI-900：微软Azure AI基础知识模拟考试是一项全面且详细的考试，旨在评估您在人工智能领域的知识和技能。该模拟考试特别为准备参加官方微软Azure AI基础知识认证考试的个人设计。AI-900考试是一个基础级别的认证，验证您对人工智能概念的理解，以及使用微软Azure服务实施AI解决方案的能力。 通过参加此模拟考试，您将熟悉实际考试的格式和结构，同时识别需要集中学习的领域。考试涵盖了广泛的主题，包括机器学习、认知服务、自然语言处理、计算机视觉等。每个问题经过精心设计，以测试您对这些关键概念的理解，确保您能够自信地应对真实考试。 此外，模拟考试还提供每个问题的详细解析，帮助您理解正确答案的理由。这种反馈对识别您的优势和劣势至关重要，有助于您相应地调整学习计划。AI-900考试模拟测试还设计为模拟实际测试环境，让您体验考试当天的真实情况，帮助您更有效地管理时间，并增强信心。 考试详细信息： - 考试名称：微软认证 - Azure AI基础知识 - 考试代码：AI-900 - 考试费用：99美元 - 题目数量：最多40-60题 - 题型：单选、多选、拖放以及基于性能的问题 - 考试时长：60分钟 - 语言：英语和日语 通过分数：700/1000 考点包括： - 描述人工智能工作负载和考虑事项 - 描述Azure上机器学习的基本原理 - 描述Azure上计算机视觉工作的特点 - 描述Azure上自然语言处理(NLP)工作负载的特点 - 描述Azure上的生成AI工作负载的特点 无论您是经验丰富的AI专业人士，寻求验证自己的技能，还是刚入门的新人，希望建立坚实的基础，AI-900：微软Azure AI基础知识模拟考试都是您认证旅程中的重要工具。通过全面的AI概念覆盖和实践问题，这个考试将为您提供在快速发展的人工智能世界中所需的知识和技能。 不要将成功寄托在运气上，立即投资您的未来，参加AI-900：微软Azure AI基础知识模拟考试。现在开始您的备考之旅，踏出成为微软Azure认证AI专业人士的第一步。
AI-900: Microsoft Azure AI Fundamentals Practice Exam, a comprehensive and detailed examination designed to assess your knowledge and skills in the field of artificial intelligence. This practice exam is specifically tailored for individuals who are preparing to take the official Microsoft Azure AI Fundamentals certification exam.AI-900 exam is a foundational level certification that validates your understanding of AI concepts and the ability to implement AI solutions using Microsoft Azure services. By taking this practice exam, you will be able to familiarize yourself with the format and structure of the actual exam, as well as identify areas where you may need to focus your study efforts.AI-900: Microsoft Azure AI Fundamentals Practice Exam covers a wide range of topics, including machine learning, cognitive services, natural language processing, computer vision, and more. Each question in the exam is carefully crafted to test your knowledge and understanding of these key concepts, ensuring that you are well-prepared to tackle the real exam with confidence.In addition to testing your knowledge, the practice exam also provides detailed explanations for each question, allowing you to understand the reasoning behind the correct answers. This feedback is invaluable in helping you identify your strengths and weaknesses, and tailor your study plan accordingly.Furthermore, the AI-900: Microsoft Azure AI Fundamentals Practice Exam is designed to simulate the actual testing environment, giving you a realistic experience of what to expect on exam day. This will help you manage your time effectively and build your confidence as you work through the questions.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:Describe Artificial Intelligence workloads and considerations (15-20%)Describe fundamental principles of machine learning on Azure (15-20%)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 (20-25%)Describe Artificial Intelligence workloads and considerations (15-20%)Identify features of common AI workloadsIdentify computer vision workloadsIdentify natural language processing workloadsIdentify document processing 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 (15-20%)Identify common machine learning techniquesIdentify regression machine learning scenariosIdentify classification machine learning scenariosIdentify clustering machine learning scenariosIdentify features of deep learning techniquesIdentify features of the Transformer architectureDescribe 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 (20-25%)Identify features of generative AI solutionsIdentify features of generative AI modelsIdentify common scenarios for generative AIIdentify responsible AI considerations for generative AIIdentify generative AI services and capabilities in Microsoft AzureDescribe features and capabilities of Azure AI FoundryDescribe features and capabilities of Azure OpenAI serviceDescribe features and capabilities of Azure AI Foundry model catalogWhether you are a seasoned AI professional looking to validate your skills or a newcomer to the field seeking to establish a solid foundation, the AI-900: Microsoft Azure AI Fundamentals Practice Exam is an essential tool in your certification journey. With its comprehensive coverage of AI concepts and hands-on practice questions, this exam will equip you with the knowledge and skills needed to succeed in the fast-evolving world of artificial intelligence.Don't leave your success to chance - invest in your future today with the AI-900: Microsoft Azure AI Fundamentals Practice Exam. Start your preparation now and take the first step towards becoming a certified AI professional with Microsoft Azure.
