Master Coachby Thaker Innovations

C_MDG_2601 · 2601

SAP Certified Associate – SAP Master Data Governance

Scenario-based certification preparation for configuring, administering, and reasoning about SAP Master Data Governance. The curriculum emphasizes explaining each scenario from business, implementation, governance, business-process problem, SAP configuration, and integration perspectives. It covers central governance, domain applications, data quality, consolidation, mass processing, modeling, workflow, replication, deployment, and project execution without assigning fixed domain percentages.

Start readiness diagnostic

The syllabus

What you need to understand

The blueprint connects every published objective to the concepts you will learn, practise and revisit.

D1

MDG Strategy, Value, and Architecture

2 objectives
  1. D1.O1Recommend an MDG capability from a business scenario
    • MDG business value and governance principles
    • Central governance, consolidation, and data quality approach selection
  2. D1.O2Design an MDG landscape and ownership model
    • MDG deployment topologies
    • Federated master data ownership
D2

Central Governance and Change-Request Processing

2 objectives
  1. D2.O1Explain and design the end-to-end governance lifecycle
    • Change request governance
    • Staging, active area, and activation
  2. D2.O2Configure workflow behavior and responsibilities
    • Change request governance
    • Rule-based workflow and agent determination
D3

Data Modeling, User Experience, and Extensibility

2 objectives
  1. D3.O1Model governed objects and select persistence behavior
    • MDG data model, entities, attributes, and relationships
    • Reuse Mode and Flex Mode persistence
  2. D3.O2Choose standard content, configuration, or extension
    • Governance scope and extensibility
    • MDG user interface and step configuration
D4

Domain-Specific Governance

3 objectives
  1. D4.O1Design Business Partner, customer, and supplier governance
    • Change request governance
    • Business Partner model, roles, and CVI
  2. D4.O2Design material creation, change, or extension governance
    • Staging, active area, and activation
    • Material governance and organizational extensions
  3. D4.O3Design financial master-data and hierarchy governance
    • MDG data model, entities, attributes, and relationships
    • Financial master data, editions, and hierarchies
D5

Rules, Search, and Data Quality

2 objectives
  1. D5.O1Select and configure the correct rule mechanism
    • Rule-based workflow and agent determination
    • Validation, derivation, defaulting, and BRFplus
  2. D5.O2Design a data-quality lifecycle and remediation response
    • Search and duplicate detection
    • Data quality rules, evaluation, and remediation
D6

Consolidation and Processing at Scale

2 objectives
  1. D6.O1Design a consolidation process
    • Central governance, consolidation, and data quality approach selection
    • Consolidation, matching, and best record
  2. D6.O2Choose and govern bulk-processing methods
    • Staging, active area, and activation
    • Mass processing and multiple-record processing
D7

Replication, Mapping, and Integration

2 objectives
  1. D7.O1Design controlled master-data replication
    • Staging, active area, and activation
    • Data Replication Framework and distribution
  2. D7.O2Resolve mapping and replication failures
    • Key mapping and value mapping
    • Integration monitoring and replication troubleshooting
D8

Cloud-Ready Mode and Federated Governance

2 objectives
  1. D8.O1Assess Classic and Cloud-Ready Mode applicability
    • MDG deployment topologies
    • Classic Mode and Cloud-Ready Mode
  2. D8.O2Design federated governance responsibilities and flows
    • Classic Mode and Cloud-Ready Mode
    • Federated master data ownership
D9

Project Execution, Configuration, and Operations

2 objectives
  1. D9.O1Plan and configure an MDG implementation
    • Governance scope and extensibility
    • MDG project execution and configuration
  2. D9.O2Monitor and troubleshoot MDG processes
    • Integration monitoring and replication troubleshooting
    • Process analytics, SLA, and bottleneck analysis
Explore concept graph25 concepts · 23 prerequisite links
MDG business value and governance principlesCentral governance, consolidation, and data quality approach selectionMDG deployment topologiesChange request governanceStaging, active area, and activationRule-based workflow and agent determinationMDG data model, entities, attributes, and relationshipsReuse Mode and Flex Mode persistenceGovernance scope and extensibilityMDG user interface and step configurationBusiness Partner model, roles, and CVIMaterial governance and organizational extensionsFinancial master data, editions, and hierarchiesValidation, derivation, defaulting, and BRFplusSearch and duplicate detectionData quality rules, evaluation, and remediationConsolidation, matching, and best recordMass processing and multiple-record processingData Replication Framework and distributionKey mapping and value mappingIntegration monitoring and replication troubleshootingClassic Mode and Cloud-Ready ModeFederated master data ownershipMDG project execution and configurationProcess analytics, SLA, and bottleneck analysis

Prerequisite relationships

  1. MDG data model, entities, attributes, and relationshipsReuse Mode and Flex Mode persistenceRequired
  2. MDG business value and governance principlesMDG deployment topologiesHelpful
  3. MDG deployment topologiesClassic Mode and Cloud-Ready ModeHelpful
  4. Staging, active area, and activationData Replication Framework and distributionRequired
  5. Change request governanceValidation, derivation, defaulting, and BRFplusHelpful
  6. MDG data model, entities, attributes, and relationshipsFinancial master data, editions, and hierarchiesHelpful
  7. Change request governanceStaging, active area, and activationRequired
  8. Change request governanceRule-based workflow and agent determinationRequired
  9. MDG business value and governance principlesCentral governance, consolidation, and data quality approach selectionHelpful
  10. MDG data model, entities, attributes, and relationshipsBusiness Partner model, roles, and CVIHelpful
  11. MDG deployment topologiesFederated master data ownershipRequired
  12. Change request governanceMDG user interface and step configurationHelpful
  13. Data Replication Framework and distributionIntegration monitoring and replication troubleshootingRequired
  14. Staging, active area, and activationMass processing and multiple-record processingHelpful
  15. MDG data model, entities, attributes, and relationshipsMaterial governance and organizational extensionsHelpful
  16. Data Replication Framework and distributionKey mapping and value mappingRequired
  17. MDG business value and governance principlesMDG project execution and configurationHelpful
  18. Change request governanceProcess analytics, SLA, and bottleneck analysisHelpful
  19. Validation, derivation, defaulting, and BRFplusData quality rules, evaluation, and remediationHelpful
  20. MDG business value and governance principlesChange request governanceRequired
  21. MDG data model, entities, attributes, and relationshipsGovernance scope and extensibilityRequired
  22. MDG business value and governance principlesMDG data model, entities, attributes, and relationshipsHelpful
  23. Central governance, consolidation, and data quality approach selectionConsolidation, matching, and best recordHelpful

Who this is for

Designed primarily for SAP MDG functional and configuration consultants. It is also relevant to solution architects, administrators, data governance leads, master data stewards, and integration specialists who must translate business governance requirements into an SAP MDG design and defend that design in detailed scenarios.

Before you begin

Learners should understand enterprise master data and common SAP S/4HANA business processes. Helpful prior experience includes SAP Business Partner, material or financial master data, organizational structures, workflow concepts, SAP Fiori, and basic integration terminology. ABAP development experience is not required, but learners should be able to distinguish configuration, extension, custom development, and integration work.

The learning OS

One blueprint. Five ways to prepare.

Master Coach turns this syllabus into a live study system instead of a static checklist.

01

Today

A weekly plan that adapts to your target, available time, diagnostic results, recent answers and concept strength.

02

Coach

Ask naturally and get explanations grounded in the course material and this certification blueprint.

03

Challenge

Defend a decision in a realistic situation, respond to a new constraint and receive a scored review.

04

Mock exam

Rehearse adaptive, scenario-based questions by speaking or typing, then get a readiness review and remediation plan.

05

Language assistance

Select difficult text for an explanation in Hindi, Gujarati, Bengali, Marathi or Kannada while official terms remain in English.

Find your starting point

Begin with a readiness diagnostic.

Answer five adaptive questions, see where to focus, and start free without a card.

monthly
₹1,999
per month
yearly
₹14,999
per year
Start readiness diagnostic