SAP Certified - SAP Master Data Governance

Who it's for: Aspiring and early-career application consultants — and data, architecture, or administration professionals moving into a governance role — who want a recognized associate credential proving they can participate in an SAP Master Data Governance implementation as a mentored project-team member, applying core knowledge of how governed master data is created, maintained, and distributed across the enterprise.

The SAP® C_MDG certification checks whether you understand and can apply the core capabilities of SAP Master Data Governance, not merely describe them. It spans why trusted, consistent master data matters to an organization and how MDG supports the controlled creation, maintenance, and distribution of that data across the enterprise. The scope covers deployment options — central governance on SAP S/4HANA, the cloud edition, SAP S/4HANA Cloud Public Edition, and federated MDG — along with domain-specific governance for material, business partner, supplier, customer, and finance data, plus consolidation, mass processing, data-quality management, and process analytics. Because it is delivered as a Scenario-Based Assessment, the exam rewards reasoning through a realistic situation and choosing the right governance approach rather than recalling isolated facts. It is written for the consultant profile at an entry-level, mentored project-participation depth.

1. 1Build a clear picture of the MDG deployment landscape first — central governance on SAP S/4HANA, the cloud edition, SAP S/4HANA Cloud Public Edition, and federated MDG — since scenarios often hinge on matching a business need to the right option.
2. 2Study each master-data domain — material, business partner/supplier/customer, and finance with hierarchy management — as its own block, tracing how each object moves through a governance process from creation to change and validation.
3. 3Distinguish consolidation from central governance and mass processing early: they solve different problems, and scenarios frequently test whether you pick the right one for the situation described.
4. 4Treat data-quality management as a core topic — practise how rules, evaluations, scores and dimensions, rule mining, and derivation scenarios work together to keep master data trustworthy.
5. 5Rehearse cloud-ready mode and process-analytics concepts such as process visualization, data replication, and service-level reporting, since these newer capabilities are easy to overlook but connect the governance flow end to end.