This training program is designed to prepare participants for the certification exam only.
The SAP Certified Associate – SAP Master Data Governance (C_MDG_1909) credential represents a professional recognition of expertise in managing enterprise master data through SAP’s governance frameworks. It validates knowledge of architecture, data quality methods, and governance models that ensure consistent and compliant data across organizations. This training program provides a structured overview of SAP MDG core architecture, governance processes, and integration mechanisms. It also highlights frameworks for data validation, monitoring, and quality enhancement to support effective enterprise wide data management.
Identify the core components, architecture, and role of SAP MDG in enterprise data governance.
Classify the configuration methods and data modeling structures within SAP MDG.
Evaluate governance processes and data validation techniques aligned with SAP MDG.
Analyze strategies for data quality monitoring, assessment, and enhancement.
Prepare for the SAP C_MDG_1909 certification exam.
SAP MDG Consultants.
Data Analysts and Quality Managers.
IT professionals in Master Data Management.
Governance, Risk, and Compliance Officers.
Role of SAP MDG in enterprise master data management.
Core architecture and functional components of SAP MDG.
Benefits of MDG for data consistency and quality improvement.
Integration points with other SAP systems and modules.
MDG alignment with compliance, standards, and regulatory needs.
Configuration methods for SAP MDG data models.
Data structures for materials, customers, suppliers, and financials.
Customization of master data workflows and governance.
Mechanisms for ensuring consistency across business units.
Integration steps of SAP MDG with external systems and databases.
Institutional frameworks for master data governance.
Tools and methods for validating master data accuracy.
Processes to enforce data integrity across workflows.
Monitoring mechanisms for data flows and anomaly detection.
Validation rules to enhance quality and minimize discrepancies.
Strategies to monitor and enhance master data quality.
Analytical use of MDG reports for consolidated outcomes.
Approaches for identifying and correcting data inconsistencies.
Role of MDG in long term governance and sustainability.
Key performance indicators for evaluating data quality.
Overview of the Certification Exam Structure.
Key Topics and Areas of Focus for the Exam.
Sample Questions and their Potential Answers.
Resources and Materials for Effective Exam Preparation.
