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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-dp-100-practice-test-b/
课程评论：没有评论
课程名称：Microsoft DP-100 实践测试 课程概述： Microsoft DP-100 课程“在 Azure 上设计和实施数据科学解决方案”是一项针对数据科学家、数据工程师及其他数据专业人员的专项技术培训项目，旨在使学员掌握在 Azure 平台上开发和部署数据科学解决方案所需的专业知识。 课程内容： 本课程涵盖广泛的主题，包括： - 数据科学和机器学习概念的理解：数据科学和机器学习方法的基本原则。 - 为机器学习准备数据：数据预处理和特征工程技术。 - 构建和部署机器学习模型：利用 Azure Machine Learning 开发和运用机器学习模型。 - 扩展和操作模型：利用 Azure Kubernetes 服务 (AKS) 和 Azure 容器实例 (ACI) 实现可扩展部署。 - 高级分析和可视化：使用 Azure Databricks 和 Power BI 实现解决方案。 - 管理和监控模型：使用 Azure Machine Learning 进行持续监控和优化。 通过实践课程，学员将获得与 Azure 服务的实际操作经验，包括 Azure Machine Learning、Azure Databricks 和 Power BI 的实验和真实场景练习。 授课方式： 本课程结合了讲师引导的培训、自主学习的在线模块和动手实践实验。成功完成课程并通过认证考试的参与者将获得 Microsoft Certified: Azure Data Scientist Associate 认证，验证他们在 Azure 上的数据科学解决方案方面的专业知识。 认证考试详情： Microsoft DP-100 考试“在 Azure 上设计和实施数据科学解决方案”包括 40-60 道选择题，考试时间为 150 分钟。考试评估考生在机器学习、数据科学原则及课程中涉及的 Azure 服务方面的熟练程度。DP-100 考试的合格分数未公开，因其会根据考试难度和考生表现而变化。 通过完成此课程和认证，专业人员展示了其设计、实施和部署使用 Azure 技术的数据科学解决方案的能力。
MICROSOFT DP-100: DESIGNING AND IMPLEMENTING A DATA SCIENCE SOLUTION ON AZUREThe Microsoft DP-100 course, "Designing and Implementing a Data Science Solution on Azure," is a specialized technical training program designed to equip data scientists, data engineers, and other data professionals with the expertise required to develop and deploy data science solutions on the Azure platform.COURSE CONTENTThis course covers a broad range of topics, including:Understanding Data Science and Machine Learning Concepts - Fundamental principles of data science and machine learning methodologies.Preparing Data for Machine Learning - Techniques for data preprocessing and feature engineering.Building and Deploying Machine Learning Models - Utilizing Azure Machine Learning to develop and operationalize machine learning models.Scaling and Operationalizing Models - Leveraging Azure Kubernetes Service (AKS) and Azure Container Instances (ACI) for scalable deployment.Advanced Analytics and Visualization - Implementing solutions using Azure Databricks and Power BI.Managing and Monitoring Models - Utilizing Azure Machine Learning for continuous monitoring and optimization.Throughout the course, students will gain practical experience with Azure services, including Azure Machine Learning, Azure Databricks, and Power BI, through lab exercises and real-world scenarios.DELIVERY METHODThe course is delivered through a mix of instructor-led training, self-paced online modules, and hands-on lab exercises. Participants who successfully complete the course and pass the associated certification exam will earn the Microsoft Certified: Azure Data Scientist Associate certification, validating their expertise in data science solutions on Azure.CERTIFICATION EXAM DETAILSThe Microsoft DP-100 exam, "Designing and Implementing a Data Science Solution on Azure," consists of 40-60 multiple-choice questions and must be completed within 150 minutes. The exam evaluates candidates' proficiency in machine learning, data science principles, and Azure services covered in the course.The passing score for the DP-100 exam is not publicly disclosed by Microsoft, as it varies based on the exam difficulty and test-taker performance.By completing this course and certification, professionals demonstrate their ability to design, implement, and deploy data science solutions using Azure technologies.
