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SAP C-BW4HANA-20 exam is a vendor-neutral certification exam that is recognized globally. SAP Certified Application Associate - Reporting, Modeling and Data Acquisition with SAP BW/4HANA 2.x (C_BW4HANA_20 Deutsch Version) certification is highly valued in the industry, as it demonstrates one's ability to work with SAP BW/4HANA and provides a competitive edge in the job market. SAP Certified Application Associate - Reporting, Modeling and Data Acquisition with SAP BW/4HANA 2.x (C_BW4HANA_20 Deutsch Version) certification is also a prerequisite for other advanced SAP certifications, such as the SAP Certified Application Professional certification.

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The SAP C_BW4HANA_20-Deutsch exam has 80 questions and a duration of 180 minutes. The questions are presented in a multiple-choice format and are based on the latest version of the software - SAP BW/4HANA 2.x. To prepare well for the exam, candidates should have hands-on experience with the software and should have undergone some training in the latest version. C_BW4HANA_20-Deutsch exam is administered by Pearson VUE, a global leader in computer-based testing, and the certification is valid for three years.

Reference: https://training.sap.com/certification/c_bw4hana_20-sap-certified-application-associate---reporting-modeling-and-data-acquisition-with-sap-bw4hana-2x-g/

The SAP C_BW4HANA_20-Deutsch exam consists of 80 multiple-choice questions that must be answered within a time frame of 180 minutes. The questions are designed to test the candidate's understanding of the fundamentals of SAP BW/4HANA, including data modeling, data acquisition, and reporting.

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SAP C_BW4HANA_20 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Data Modeling in SAP BW/4HANA25%- CompositeProvider modeling
  • 1. Union and join scenarios
    • 2. Virtualization concepts
      - Advanced DataStore Objects (ADSO)
      • 1. Data flow and activation processes
        • 2. Design and types of ADSO
          - InfoObjects and master data modeling
          • 1. Characteristics and key figures
            • 2. Attributes, texts, and hierarchies
              Query Design and Reporting25%- SAP BW Query Designer
              • 1. Filters, variables, and conditions
                • 2. Key figures and characteristics usage
                  - Analysis and reporting tools
                  • 1. SAP Analytics Cloud integration concepts
                    • 2. SAP Analysis for Office
                      - Performance optimization
                      • 1. Aggregation and caching
                        • 2. Query runtime optimization techniques
                          Data Acquisition and Integration25%- Real-time data acquisition
                          • 1. Data provisioning techniques
                            • 2. Streaming and replication options
                              - ETL processes in BW/4HANA
                              • 1. Transformations and mappings
                                • 2. Data transfer processes (DTP)
                                  - Source system integration
                                  • 1. SAP and non-SAP source systems
                                    • 2. ODP-based extraction
                                      SAP BW/4HANA Administration15%- Security and authorizations
                                      • 1. Analysis authorizations
                                        • 2. Role-based access control
                                          - System administration
                                          • 1. Monitoring and error handling
                                            • 2. Process chains
                                              SAP BW/4HANA Architecture and Tools10%- Development tools
                                              • 1. Eclipse-based BW modeling tools
                                                • 2. SAP GUI vs modern modeling environment
                                                  - System architecture
                                                  • 1. Layered Scalable Architecture (LSA++)
                                                    • 2. HANA-based data processing concepts

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