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The Data Governance certification exam consists of 100 multiple-choice questions that cover a broad range of topics related to data governance. These topics include data governance principles and frameworks, data quality management, data privacy and security, data architecture and modeling, and data management technologies and tools. DG-1220 exam is designed to be challenging, and you will need to have a solid understanding of these topics to pass.
DAMA DG-1220 Certification Exam is specifically designed to evaluate a candidate’s knowledge, understanding, and abilities in data governance principles, practices, and frameworks. DG-1220 exam is intended for professionals who have been responsible for data governance functions within their organization or have a keen interest in data governance. Data Governance certification is relevant to data governance professionals, data stewards, data architects, data compliance officers, and data quality professionals.
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DAMA DG-1220 Certification Exam is a valuable credential for professionals who work in the field of data governance. Data Governance certification demonstrates an individual's knowledge and skills in managing and governing data assets, which can lead to new career opportunities and increased earning potential. By taking advantage of the resources provided by DAMA, candidates can prepare for the exam and increase their chances of passing on the first attempt.
The DAMA DG-1220 exam covers a range of topics such as data governance principles, policies, and standards, data quality and metadata management, regulatory compliance, and data ethics. Data Governance certification enables professionals to develop a deeper understanding of data governance, which is a critical component to driving business results. By attaining the DG-1220 certification, individuals can acquire the knowledge they need to establish a strong data governance framework and acquire the skills to execute and maintain it.
DAMA DG-1220 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Roles, Responsibilities and Organization | - Governance Operating Models - Data Governance Roles (Steward, Owner, Custodian) |
| Integration with Other Data Disciplines | - Relationship to Data Management Disciplines - Lifecycle and Architecture Alignment |
| Data Quality and Metrics | - Governance Metrics and KPIs - Data Quality Principles |
| Policies, Standards and Compliance | - Policy and Standard Development - Regulatory Requirements (e.g., GDPR, Data Protection) |
| Data Governance Framework and Principles | - Purpose and Scope of Data Governance - Key Concepts and Definitions |
