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所在平台: Udemy |
课程主页: https://www.udemy.com/course/cdmp-data-quality-practice-questions/
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课程名称：CDMP数据质量实践问题从业者/大师 课程概述： 您是否希望将数据管理技能提升到一个新的水平，并在这个快速增长的领域中脱颖而出？寻找CDMP（认证数据管理专业人员）认证课程将是您的最佳选择。CDMP考试分为多个级别及要求： - 助理级别：通过数据管理基础考试，70%及格 - 从业者级别：通过数据管理基础考试及两门专业考试，各需70%及格 - 大师级别：通过数据管理基础考试及两门专业考试，各需80%及格 本课程重点准备您参加其中一项专业考试：数据质量管理。数据管理作为一项年轻的职业，急需成熟的标准和预期表现，以改善长期成果。CDMP认证为数据管理专业人士提供了一个全球公认的标准，类似于项目和服务管理中的PMI和ITIL认证。 通过CDMP认证，您将全面了解数据管理的原则与实践，包括数据架构、治理、集成、质量和安全性。您将获得在数据管理职业中出色表现所需的技术和分析技能。此外，CDMP认证要求持续的职业发展，以确保您跟上行业内最新技术和最佳实践。 课程内容涵盖以下主题： - 数据管理过程 - 大数据 - 数据架构 - 文档与内容管理 - 数据伦理 - 数据治理 - 数据集成和互操作性 - 主数据和参考数据管理 - 数据建模与设计 - 数据质量 - 数据安全 - 数据存储与操作 - 数据仓库与商业智能 - 元数据管理 CDMP数据质量专家考试旨在评估考生在数据质量管理方面的知识和技能，重点包括： - 数据概况与评估：理解如何通过识别异常、不一致和错误来评估数据质量。 - 数据清洗技巧：掌握各种数据清洗方法，如去重、标准化和验证。 - 数据质量项目：了解如何开发和实施符合业务战略的数据质量项目。 - 数据质量工具：评估和选择适合组织需求的数据质量工具和技术的能力。 考试通常由多项选择题组成，涵盖这些领域，确保考生全面理解数据质量的原则和实践。 免责声明：提供的样本题目仅供练习使用，不替代DAMA DMBOK所提供的学习材料。这些问题不能保证准确反映实际考试问题，使用这些样本题目的风险由您自行承担，且我们不对因此产生的后果负责。这些样本问题受版权保护，未经事先许可不得分发或共享，所有版权均保留。
Are you looking to take your data management skills to the next level and stand out in a rapidly growing field? Look no further than the Certified Data Management Professional (CDMP) certification. The CDMP Exam has following levels and requriements:Associate: 60% pass Data Management Fundamentals examPractitioner: 70% pass in Data Management Fundamentals exam and 70% pass in 2 specialist examsMaster: 80% pass in Data Management Fundamentals exam and 80% pass in 2 specialist examsThis question set prepares you for one of the specialist exams: Data Quality ManagementAs one of the youngest professions, data management is in need of mature standards and expected performance to improve outcomes over time. The CDMP certification provides a globally recognized standard for data management professionals, similar to PMI and ITIL certifications in project and service management.This CDMP certification will provide you with a comprehensive understanding of data management principles and practices, including data architecture, governance, integration, quality, and security. You will gain the technical and analytical skills necessary to excel in a career in data management. Additionally, the CDMP certification requires ongoing professional development, ensuring that you remain up-to-date with the latest technologies and best practices in the industry. The CDMP covers below topics:Data Management ProcessBig DataData ArchitectureDocument and Content ManagementData EthicsData GovernanceData Integration and InteroperabilityMaster and Reference Data ManagementData Modelling and DesignData QualityData SecurityData Storage and OperationsData Warehousing and Business IntelligenceMetadata ManagementThe Certified Data Management Professional (CDMP) Data Quality Specialist exam is designed to assess a candidate's knowledge and skills in data quality management. Here are some key aspects of the exam:Data Profiling and Assessment: Understanding how to evaluate the quality of data by identifying anomalies, inconsistencies, and errors.Data Cleansing Techniques: Mastery of various data cleansing methods, such as deduplication, standardization, and validation.Data Quality Programs: Knowledge of developing and implementing data quality programs that align with business strategies.Data Quality Tools: Ability to evaluate and select appropriate data quality tools and technologies for organizational needs.The exam typically consists of multiple-choice questions that cover these areas, ensuring that candidates have a comprehensive understanding of data quality principles and practices.Disclaimer: The sample questions provided are intended for practice purposes only and are not a substitute for the study material provided by the DAMA DMBOK. The questions are not guaranteed to be an accurate reflection of the actual exam questions. The use of these sample questions is entirely at your own risk, and we do not accept responsibility for any consequences resulting from their use. These sample questions are copyrighted and are not to be distributed or shared without prior permission. All copyrights are reserved.
