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SAP C_P2WBW_2505 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: SAP HANA Modeling Integration | - SAP HANA calculation views - Mixed scenarios with SAP BW/4HANA - External SAP HANA Views - Integration with SAP Data Intelligence |
| Topic 2: Data Modeling and Design | - Open Hub Destinations - Star schema and dimension modeling - LSA++ (Layered Scalable Architecture) concepts - Advanced DataStore Objects (ADSO) |
| Topic 3: SAP BW/4HANA and SAP Datasphere Integration | - Overview of SAP Datasphere - Integration scenarios between SAP BW/4HANA and SAP Datasphere - Remote data access and replication |
| Topic 4: SAP BW/4HANA Administration and Monitoring | - Performance tuning and housekeeping - Transport management - Authorization management - System administration and monitoring tools |
| Topic 5: Data Migration and Transfer | - Migration paths from SAP BW to SAP BW/4HANA - Transfer Toolbox usage - Legacy object migration |
| Topic 6: SAP BW/4HANA Query Design and Analysis | - Query performance optimization - Filters, variables, and calculated/restricted key figures - BEx Query Designer / BW Query Designer basics - Exceptions and conditions |
| Topic 7: Data Acquisition and Data Flow in SAP BW/4HANA | - Data acquisition into SAP BW/4HANA - Open ODS Views and Composite Providers - Process Chains for scheduling and monitoring - Transformation and DTP (Data Transfer Process) |
| Topic 8: SAP BW/4HANA and BW Modeling Tools | - InfoObjects and their properties - Overview of SAP BW/4HANA architecture - DataSource and DataStore Objects (advanced) - BW Modeling Tools in Eclipse |
SAP Certified Associate - Data Engineer - SAP BW/4HANA Sample Questions:
1. How does integrating SAP Databricks within SAP Business Data Cloud reduce IT overhead for customers?
A) By streamlining data governance processes and minimizing the need for complex data security configurations
B) By providing pre-built connectors to various data sources
C) By automating data ingestion pipelines
D) By eliminating the need for rebuilding data structures and business logic externally
2. What are the main challenges companies face that want to make data-driven decisions? Note: There are 3 correct answers to this question.
A) Harness the power of fragmented, unstructured data sources to turn them into valuable business insights.
B) Uncover the hidden potential in their business by unlocking seamless access to critical insights.
C) Unlock a new dimension of insights, advanced analytics, and Al capabilities.
D) Boost confidence in the quality of their data
E) Simplify the data landscape to reduce costs and accelerate insights.
3. Which are purposes of the Open Operational Data Store layer in the layered scalable architecture (LSA++) of SAP BW/4HANA? Note: There are 2 correct answers to this question.
A) Real-time reporting on source system data without staging
B) Transformations on data based on business logic
C) Harmonization of data from several source systems
D) Initial staging of source system data
4. What are benefits of using an InfoSource in a data flow? Note: There are 2 correct answers to this question.
A) Realizing direct access to source data without storing them
B) Providing the delta extraction information of the source data
C) Enabling a data transfer process (DTP) to execute multiple sequential transformations
D) Splitting a complex transformation into simple parts without storing intermediate data
5. What foundation is necessary to use SAP S/4HANA embedded analytics?
A) SAP Agile Data Preparation
B) SAP HANA optimized business content
C) Generated external SAP HANA Calculation Views
D) ABAP CDS view based virtual data model
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A,B,D | Question # 3 Answer: A,C | Question # 4 Answer: A,D | Question # 5 Answer: D |
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