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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-900-microsoft-azure-ai-fundamentals-ai900-practice-test/
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课程名称：AI-900：Microsoft Azure AI 基础考试练习测试 课程概述：该课程旨在帮助您为 AI-900：Microsoft Azure AI 基础考试做好准备。通过全面的练习测试，您可以评估自己的知识水平以及为实际认证考试的准备情况。练习考试涵盖了 Microsoft Azure 中的 AI 概念和服务，主题包括机器学习、自然语言处理、计算机视觉等。在模拟实际考试的格式和内容时，您能识别出需要改进的领域，并增强自信心。 AI-900：Microsoft Azure AI 基础练习考试包括各种与实际测试相似的问题类型，比如单选和多选题、案例研究以及互动题型，确保您全面准备考试格式。此外，每道题目都配有详细的解释，帮助您理解正确答案背后的逻辑，并从错误中学习。这种综合的方法不仅帮助您通过考试，还能够深入理解 Microsoft Azure 中的 AI 概念和服务。 该课程适合对人工智能有基本了解的个人以及想验证现有知识的专业人士。通过这个练习考试，您可以自信地参加 AI-900 认证测试，为您的职业发展迈出下一步。不要将成功留给运气，使用 AI-900：Microsoft Azure AI 基础练习考试工具，确保您为真实考试做好充分准备。 课程内容包括： - 人工智能工作负载及其考虑因素 - Azure 上的机器学习基本原理 - Azure 上计算机视觉工作负载的特征 - Azure 上自然语言处理 (NLP) 工作负载的特征 - Azure 上生成性 AI 工作负载的特征 学习结束时，学生将具备扎实的 AI 概念基础和在 Microsoft Azure 环境中使用 AI 工具和服务的实践技能。无论是 AI 新手还是寻求扩展知识的专业人士，本课程将为他们提供开始构建 AI 解决方案所需的专业知识。 考试信息： - 考试名称：Microsoft Certified - Azure AI Fundamentals - 考试代码：AI-900 - 考试价格：99 美元 - 问题数量：40-60 道题目 - 题型：单选题、多选题、拖放题和基于表现的题型 - 考试时长：60 分钟 - 通过分数：700 / 1000 - 语言支持：英语、日语、韩语和简体中文 通过 AI-900 课程，学习者可以掌握最新的 AI 技术和工具，为应对现实世界 AI 挑战做好充分准备。
Prepare for the AI-900: Microsoft Azure AI Fundamentals exam with this comprehensive practice exam. This exam is designed to help you assess your knowledge and readiness for the actual certification test. With a focus on AI concepts and services within Microsoft Azure, this practice exam covers a wide range of topics including machine learning, natural language processing, computer vision, and more. By simulating the format and content of the real exam, this practice test will help you identify areas where you need to improve and gain confidence in your abilities.AI-900: Microsoft Azure AI Fundamentals Practice Exam includes a variety of questions that closely resemble those you will encounter on the actual certification test. This includes multiple-choice questions, case studies, and interactive items to ensure you are fully prepared for the exam format. Additionally, detailed explanations for each question are provided, allowing you to understand the reasoning behind the correct answers and learn from any mistakes you make. This comprehensive approach will help you not only pass the exam but also gain a deeper understanding of AI concepts and services within Microsoft Azure.Whether you are new to AI or looking to validate your existing knowledge, this practice exam is an essential tool for your preparation. It is suitable for individuals with a basic understanding of cloud computing and Microsoft Azure, as well as those with experience in AI who want to demonstrate their expertise. With this practice exam, you can confidently approach the AI-900 certification test and take the next step in your career. Don't leave your success to chance - use the AI-900: Microsoft Azure AI Fundamentals Practice Exam to ensure you are fully prepared for the real exam.AI-900: Microsoft Azure AI Fundamentals is a comprehensive and updated course designed to provide learners with a solid understanding of artificial intelligence (AI) concepts and how they are implemented in Microsoft Azure. This course covers a wide range of topics, including machine learning, computer vision, natural language processing, and conversational AI. With the latest syllabus updates, learners can expect to gain knowledge about the latest AI technologies and tools available in Microsoft Azure, making them well-equipped to tackle real-world AI challenges.Throughout the course, students will have the opportunity to explore various AI services offered by Microsoft Azure, such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services. They will also learn how to leverage these services to build AI solutions that can analyze images, interpret speech, understand natural language, and engage in intelligent conversations. Additionally, the course will cover the ethical and responsible use of AI, ensuring that learners understand the importance of ethical considerations when developing AI solutions.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 ServiceBy the end of the AI-900: Microsoft Azure AI Fundamentals course, students will have a strong foundation in AI concepts and practical skills in using AI tools and services within the Microsoft Azure environment. Whether they are new to AI or looking to expand their knowledge in this rapidly evolving field, this course will provide them with the necessary expertise to start building AI solutions using Microsoft Azure. With the latest syllabus updates, learners can be confident that they are learning the most up-to-date AI concepts and technologies, making them valuable assets in the ever-growing field of artificial intelligence.
