Suggested Certification for SAP MDM

C_MDG_90 - SAP Master Data Governance
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Interview Questions and Answers

SAP MDM provides security features such as role-based access control, data encryption, and audit logging to protect sensitive master data. Access to data and functionalities is controlled based on user roles and permissions.

Key challenges include: Data quality issues, Lack of business alignment, Resistance to change, Complex integration requirements, and High implementation costs.

SAP MDM focuses on creating and maintaining a single, trusted view of master data. SAP Information Steward focuses on data profiling, data quality analysis, and data governance.

SAP MDM provides tools and functionalities for syndicating master data to downstream systems. This ensures that all systems have access to the same, consistent master data.

Performance considerations include: Database optimization, Hardware sizing, Network bandwidth, and efficient data loading and syndication processes.

Best practices include: Defining clear business requirements, Establishing strong data governance, Prioritizing data quality, Developing a comprehensive implementation plan, and Providing adequate training to users.

Key considerations include: Identifying data quality issues, Defining cleansing rules, Implementing data cleansing processes, and Monitoring data quality after cleansing.

Data quality can be measured and monitored using metrics such as completeness, accuracy, consistency, and timeliness. SAP MDM provides tools and functionalities to track these metrics and identify areas for improvement.

Match rules define the criteria for identifying duplicate records. They are used to prevent the creation of duplicate records and to merge existing duplicate records to create a single, consolidated record.

Data enrichment involves adding value to existing master data by appending additional information from external sources or internal systems. This can improve data accuracy, completeness, and usefulness.

SAP MDM can be deployed on-premise, in the cloud (e.g., SAP Cloud Platform), or in a hybrid environment.

A Data Steward is responsible for the quality, accuracy, and consistency of master data. They are responsible for data validation, cleansing, and enrichment, as well as for resolving data quality issues.

SAP MDM can manage various types of master data, including: Material master, Customer master, Vendor master, Employee master, and Financial master data.

The common MDM implementation styles are: Consolidation (collecting and cleansing data), Central Governance (creating and maintaining data centrally), Co-existence (linking different MDM systems), and Central Master Data Management (single source of truth).

The benefits include: Improved data quality, Reduced data redundancy, Enhanced decision-making, Streamlined business processes, Increased efficiency, Compliance with regulatory requirements, and Lower total cost of ownership (TCO).

The typical phases include: Planning, Design, Build, Test, Deploy, and Support.

SAP MDM integrates with other SAP systems like SAP ERP, SAP CRM, SAP SCM, and SAP BW through various methods, including pre-built connectors, IDocs, and web services.

Data governance is crucial in SAP MDM to define policies, procedures, and responsibilities for managing master data. It ensures data quality, compliance, and security throughout the data lifecycle.

SAP Master Data Management (MDM) is a solution that provides a single, trusted view of master data across an organization. Its purpose is to consolidate, cleanse, and synchronize master data to improve data quality, consistency, and governance.

The key components of SAP MDM include: MDM Server (the core engine), MDM Data Manager (for data administration and stewardship), MDM Import Manager (for loading data), MDM Syndication Manager (for distributing data), MDM Console (for administration), and MDM Web UI (for user access).

SAP Master Data Governance (MDG) - Consolidate and centrally govern the master data lifecycle to increase the quality and consistency of information across your organisation.

Features and Benefits - Govern your data more effectively, Data Consolid

MDM business scenarios consists of the following scenario variants:

- Master-data consolidation: Identifies identical master data items across heterogeneous landscapes, merges them centrally, and provides the required essential mapping information

Master Data Consolidation: SAP MDG, consolidation and mass processing enable you to consolidate your master data and it helps you to run mass processes to update.

- Master Data Harmonization: The Master Data Harmonization is used for

ERP stands for enterprise resource planning, ERP is all about the core processes needed to run a company: finance, manufacturing, HR, supply chain, services, procurement, and others. At its most basic level, ERP integrates these processes into a single sy

SAP(System Analysis Program Development) is one of the world’s leading producers of software for the management of business processes, developing solutions that facilitate effective data processing and information flow across organisations

Partial list of products of the enterprise software company SAP SE:

- SAP S/4HANA (Enterprise Resource Planning on-premise and cloud)

- SAP Business ByDesign (SME Cloud Enterprise Resource Planning)

- SAP Business One (Small enter

SAP database tables are created within the data dictionary using transaction SE11 (or SE80) and are used to store data within your SAP system.

6 sessions at max.

NetWeaver: SAP NetWeaver is a software stack for many of SAP SE's applications.

- Transaction Codes in SAP: A transaction code is used to access functions or running programs (including executing ABAP code) in the SAP application mor

Few of the SAP development modules in this post:

- SAP Financial Accounting (FI)

- SAP Controlling (CO)

- SAP Sales and Distribution (SD)

- SAP Production Planning (PP)

- SAP Materials Management (MM)

- SAP

Disadvantages of SAP:

- Expensive.

- Very Complex.

- Demands highly trained staff.

- SAP Resources are hard to find.

- Lengthy implementation time.

- Can cause internal conflict in organizations.

-

Presentation Layer, Application Layer, and Database Layer

There are six main stages in SAP payment run process:  

- Maintain parameters.

- Start proposal run.

- Debit balance check.

- Edit proposal run.

- Start payment run.

- Schedule print

All systems that provide data for access from the BW system or transferring it there are referred to as source systems

Syntax error, Program generation error, and Dictionary activation error or method execution error

Explain with examples that sync with the job description

Explain specific instances with respect to the job JD.

The primary aim of the code review is to ensure that the codebase overall product quality is maintained over time. It helps give a fresh set of eyes to identify bugs and simple coding errors. All of the tools and processes of code review are designed to t

The most common software sizing methodology has been counting the lines of code written in the application source. Another approach is to do Functional Size Measurement, to express the functionality size as a number by performing Function point analysis.

Quality control can be defined as a \"part of quality management concentrating on maintaining quality requirements.\" While quality assurance relates to how a process is carried out or how a product is produced, quality control is more the quality managem