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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-900-microsoft-azure-ai-fundamentals-practice-exam-prep/
课程评论：没有评论
课程名称：AI-900：Microsoft Azure AI 基础知识实践考试准备 课程概述：AI-900：Microsoft Azure AI 基础知识实践考试是一个全面且精心设计的资源，旨在帮助有志于从事人工智能（AI）领域的专业人士深入理解AI概念及其在Microsoft Azure生态系统中的应用。该实践考试专门为准备AI-900认证考试的考生量身定制，成为成功进入AI领域的第一步。 课程内容覆盖广泛，深入探讨AI的基本原理、机器学习和数据科学，为考生提供利用Azure AI服务所需的知识和技能。该实践考试注重实际应用和真实场景，确保考生在面对各行业AI实施挑战时充分准备。 课程内容由行业专家和微软认证培训师（MCT）精心策划，这些专家在AI和Azure领域具有丰富的经验，他们的专业知识确保内容是最新的，准确的，并与最新的行业趋势和最佳实践相一致。 AI-900实践考试涵盖了掌握AI基本知识所需的所有核心主题，包括AI工作负载、机器学习、计算机视觉、自然语言处理（NLP）以及会话AI等。它提供了对AI概念及其在Azure中的实际应用的整体理解。 为了模拟实际的AI-900认证考试，该实践考试提供实时的测试体验，使考生熟悉考试格式、题型和时间限制，从而提升他们的自信心与考试表现。 AI-900实践考试提供了一套广泛的练习题，涵盖多种AI概念。考生可以通过尝试这些问题来评估自己的知识，提高进步跟踪，识别需要改进的领域，并集中关注需要进一步学习的具体主题。 该实践考试设计了互动和参与感的学习体验，考生可通过导航考试问题、标记待复习问题并即时获得反馈，增强学习和记忆效果。 课程还强调时间管理和考试策略，教会考生如何有效分配时间、识别关键词、排除错误选项以及系统性地处理复杂问题。 额外资源：除了实践考试，考生还可以获得一系列补充资源，包括学习指南、参考资料和相关Azure文档链接，这些资源进一步提升理解，并作为未来AI项目的有价值参考。 AI-900认证考试信息： - 考试名称：Microsoft Certified - Azure AI Fundamentals - 考试代码：AI-900 - 考试费用：99美元 - 问题数量：40-60题（最多），题型包括单选和多选题、拖放题和基于表现的问题 - 测试时长：60分钟 - 通过分数：700/1000 - 支持语言：英语、日语、韩语和简体中文 通过参加AI-900：Microsoft Azure AI 基础知识实践考试，为AI-900认证考试做好准备，开启在AI领域内激动人心的职业机会。利用这个全面而精心设计的资源，您将获得在Azure进行AI实施所需的知识、技能和信心。拥抱AI与Azure的力量，开启成为认证AI专业人士的丰盛旅程。
AI-900: Microsoft Azure AI Fundamentals Practice Exam is a comprehensive and meticulously designed resource to help aspiring professionals gain a deep understanding of artificial intelligence (AI) concepts and their application in the Microsoft Azure ecosystem. This practice exam is specifically tailored to prepare candidates for the AI-900 certification exam, which serves as a stepping stone towards a successful career in the field of AI.Covering a vast array of topics, the AI-900 practice exam delves into the fundamental principles of AI, machine learning, and data science. It equips candidates with the necessary knowledge and skills to leverage the power of Azure AI services effectively. With a focus on practical application and real-world scenarios, this practice exam ensures that candidates are well-prepared to tackle the challenges of AI implementation in various industries.AI-900 practice exam is meticulously curated by a team of industry experts and Microsoft Certified Trainers (MCTs) who possess extensive experience in the field of AI and Azure. Their expertise ensures that the content is up-to-date, accurate, and aligned with the latest industry trends and best practices.This AI-900 practice exam covers all the essential topics required to master AI fundamentals, including AI workloads, machine learning, computer vision, natural language processing (NLP), and conversational AI. It provides a holistic understanding of AI concepts and their practical implementation in Azure.This practice exam is designed to simulate the actual AI-900 certification exam, providing candidates with a real-life testing experience. This enables them to familiarize themselves with the exam format, question types, and time constraints, ultimately boosting their confidence and exam performance.This AI-900 practice exam offers an extensive set of practice questions that cover a wide range of AI concepts. Candidates can assess their knowledge and track their progress by attempting these questions, identifying areas of improvement, and focusing on specific topics that require further attention.This practice exam is designed to provide an engaging and interactive learning experience. Candidates can navigate through the exam questions, mark them for review, and receive instant feedback on their performance. This interactive approach enhances learning and retention.Time Management and Exam Strategies: The AI-900 practice exam emphasizes time management skills and exam strategies. Candidates learn how to effectively allocate time to different sections, identify keywords, eliminate incorrect options, and approach complex questions systematically.Additional Resources: In addition to the practice exam, candidates gain access to a range of supplementary resources, including study guides, reference materials, and links to relevant Azure documentation. These resources further enhance understanding and serve as valuable references for future AI projects.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 ServicePrepare yourself for success in the AI-900 certification exam and unlock exciting career opportunities in the world of AI with the AI-900: Microsoft Azure AI Fundamentals Practice Exam. This comprehensive and meticulously designed resource equips you with the knowledge, skills, and confidence needed to excel in the field of AI implementation with Azure. Embrace the power of AI and Azure, and embark on a rewarding journey towards becoming a certified AI professional.
