SAP C_BW4HANA_20日本語 Exam Details & Actual Exam Questions

  • Exam Code/Number: C_BW4HANA_20日本語
  • Exam Name/Title: SAP Certified Application Associate - Reporting, Modeling and Data Acquisition with SAP BW/4HANA 2.x (C_BW4HANA_20日本語版)
  • Certification Provider: SAP
  • Corresponding Certification: SAP Certified Application Associate
  • Exam Questions: 80
  • Updated On: Jul,20 2026
  • Certification Level: Associate

SAP Certified Application Associate - Reporting, Modeling and Data Acquisition with SAP BW/4HANA 2.x (C_BW4HANA_20日本語版) Exam Questions

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SAP C_BW4HANA_20日本語 Exam Overview:

Certification Vendor:SAP
Exam Name:SAP Certified Application Associate - Reporting, Modeling and Data Acquisition with SAP BW/4HANA 2.x
Exam Number:C_BW4HANA_20
Certificate Validity Period:SAP certification validity policy applies (generally subject to SAP Certification digital badge re-certification requirements or solution updates)
Related Certifications:SAP Certified Application Associate - SAP BW/4HANA
SAP Certified Technology Associate - SAP HANA
Available Languages:English, German, Japanese, Korean, Simplified Chinese
Passing Score:Approx. 63%
Exam Duration:180 minutes
Real Exam Qty:80 questions (typical range 80)
Exam Price:Approx. USD 500 (varies by country/region)
Exam Format:Multiple Choice, Multiple Response
Recommended Training:SAP Learning (official courses)
openSAP BW/4HANA courses
Exam Registration:SAP Training Shop
SAP Certification Portal
Sample Questions:SAP C_BW4HANA_20日本語 Sample Questions
Exam Way:Online proctored exam or onsite testing center via SAP-approved exam providers (e.g., Pearson VUE)
Pre Condition:Basic knowledge of SAP BW and SAP HANA modeling is recommended but not strictly required
Official Syllabus URL:https://learning.sap.com/certifications

SAP C_BW4HANA_20日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Acquisition and Integration25%- ETL processes in BW/4HANA
  • 1. Data transfer processes (DTP)
    • 2. Transformations and mappings
      - Source system integration
      • 1. ODP-based extraction
        • 2. SAP and non-SAP source systems
          - Real-time data acquisition
          • 1. Data provisioning techniques
            • 2. Streaming and replication options
              Topic 2: 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
                          Topic 3: SAP BW/4HANA Architecture and Tools10%- System architecture
                          • 1. Layered Scalable Architecture (LSA++)
                            • 2. HANA-based data processing concepts
                              - Development tools
                              • 1. Eclipse-based BW modeling tools
                                • 2. SAP GUI vs modern modeling environment
                                  Topic 4: SAP BW/4HANA Administration15%- System administration
                                  • 1. Monitoring and error handling
                                    • 2. Process chains
                                      - Security and authorizations
                                      • 1. Analysis authorizations
                                        • 2. Role-based access control
                                          Topic 5: Data Modeling in SAP BW/4HANA25%- Advanced DataStore Objects (ADSO)
                                          • 1. Design and types of ADSO
                                            • 2. Data flow and activation processes
                                              - CompositeProvider modeling
                                              • 1. Union and join scenarios
                                                • 2. Virtualization concepts
                                                  - InfoObjects and master data modeling
                                                  • 1. Attributes, texts, and hierarchies
                                                    • 2. Characteristics and key figures


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