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SAP C_P2WBW_2505 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Modeling and Design | - Star schema and dimension modeling - LSA++ (Layered Scalable Architecture) concepts - Open Hub Destinations - Advanced DataStore Objects (ADSO) |
| Topic 2: Data Acquisition and Data Flow in SAP BW/4HANA | - Open ODS Views and Composite Providers - Process Chains for scheduling and monitoring - Transformation and DTP (Data Transfer Process) - Data acquisition into SAP BW/4HANA |
| Topic 3: SAP BW/4HANA and BW Modeling Tools | - InfoObjects and their properties - Overview of SAP BW/4HANA architecture - BW Modeling Tools in Eclipse - DataSource and DataStore Objects (advanced) |
| Topic 4: SAP BW/4HANA Administration and Monitoring | - System administration and monitoring tools - Performance tuning and housekeeping - Transport management - Authorization management |
| Topic 5: SAP HANA Modeling Integration | - Integration with SAP Data Intelligence - SAP HANA calculation views - External SAP HANA Views - Mixed scenarios with SAP BW/4HANA |
| Topic 6: Data Migration and Transfer | - Migration paths from SAP BW to SAP BW/4HANA - Legacy object migration - Transfer Toolbox usage |
| Topic 7: SAP BW/4HANA and SAP Datasphere Integration | - Integration scenarios between SAP BW/4HANA and SAP Datasphere - Overview of SAP Datasphere - Remote data access and replication |
| Topic 8: SAP BW/4HANA Query Design and Analysis | - Query performance optimization - Filters, variables, and calculated/restricted key figures - Exceptions and conditions - BEx Query Designer / BW Query Designer basics |
SAP Certified Associate - Data Engineer - SAP BW/4HANA Sample Questions:
1. Which solution enables advanced Al and machine learning models on combined SAP and third-party data?
A) SAP Analytics Cloud
B) SAP Datasphere
C) SAP Databricks
D) SAP AI Launchpad
2. For a report, you would like to highlight the deviation from predefined threshold values for a key figure. Which BW query feature do you use?
A) Formula cell
B) Condition
C) Key figure property
D) Exception
3. You create an SAP HANA HDI Calculation View.
What are some of the reasons to choose the data category Cube with Star Join instead of data category Dimension? Note: There are 3 correct answers to this question.
A) You can persist transactional data.
B) You can create restricted columns.
C) You can aggregate measures as a sum.
D) You can combine master data and transactional data.
E) You can provide default time characteristics.
4. Which source types are available to create a generic DataSource in SAP ERP? Note: There are 3 correct answers to this question.
A) Database view
B) ABAP class method
C) ABAP function module
D) SAP query
E) ABAP managed database procedure
5. You want to build an SAP HANA HDI calculation view of data category CUBE, but you get a "no measure defined" error. For the business requirement, a measure does not make sense.
Besides changing the data category to DIMENSION, what do you have to do?
A) Switch from an aggregation node to a star join node.
B) Switch from an aggregation node to a projection node.
C) Switch from a projection node to an aggregation node.
D) Switch from a projection node to a star join node.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: A,C,D | Question # 4 Answer: A,C,D | Question # 5 Answer: C |



