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SAP C-P2WBW-2505 Exam Syllabus Topics:

Section	Weight	Objectives
SAP Analytics Tools and SAP Analytics Cloud	<=10%	- Analysis for Microsoft Office - Reporting and analysis capabilities - Integration with SAP Analytics Cloud
Data Acquisition into SAP BW/4HANA	11-20%	- ODP and CDS-based extraction - DataSource replication and activation - Extraction from SAP and non-SAP sources
SAP BW/4HANA Modeling	11-20%	- DataStore Objects (advanced) design - LSA++ architecture and best practices - Modeling tools and workflows
InfoObjects and InfoProviders	11-20%	- InfoObject types, properties and modeling - InfoProvider types and usage scenarios - Open ODS Views and Composite Providers
Fundamentals	11-20%	- Basic terms and framework - Core concepts of SAP BW/4HANA and SAP Business Data Cloud - Architecture and landscape components
SAP BW/4HANA Project and the Modeling Process	<=10%	- Project lifecycle and methodology - Modeling guidelines and collaboration - Implementation best practices
SAP BW Query Design	11-20%	- Calculated and restricted key figures - Filters, variables and conditions - Performance optimization - Query creation and components
Native SAP HANA Modeling	11-20%	- Mixed modeling scenarios - Integration between BW/4HANA and SAP HANA - Calculation views and HDI objects
SAP BW/4HANA Data Flow	<=10%	- Process chains for scheduling and monitoring - Transformations and Data Transfer Processes - Data loading and delta handling

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SAP Certified Associate - Data Engineer - SAP BW/4HANA Sample Questions (Q36-Q41):

NEW QUESTION # 36
How does integrating SAP Databricks within SAP Business Data Cloud reduce IT overhead for customers?

A. By eliminating the need for rebuilding data structures and business logic externally
B. By streamlining data governance processes and minimizing the need for complex data security configurations
C. By providing pre-built connectors to various data sources
D. By automating data ingestion pipelines

Answer: A

NEW QUESTION # 37
You defined a condition in a BW query for the top 10 of 100 customers based on sales revenue.
Using key figure properties in the BW query, which two scenarios regarding result presentation can be achieved? Note: There are 2 correct answers to this question.

A. One result row with the sales revenue sum of the top 10 customers and a second result row with the sales revenue sum of the other 90 customers
B. One result row with the sales revenue sum of the top 10 customers
C. One result row with the sales revenue sum of the top 10 customers and a second result row with the sales revenue sum of all 100 customers
D. One result row with the sales revenue sum of all 100 customers

Answer: A,B

NEW QUESTION # 38
Your company manufactures products with country-specific serial numbers.
For this scenario, you have created 3 custom characteristics with the technical names "PRODUCT", "COUNTRY" and "SERIAL_NO". How do you need to model the characteristic "PRODUCT" to store different attribute values for serial numbers?

A. Use "SERIAL_NO" as compounding characteristic for "PRODUCT".
B. Use "COUNTRY" as a navigation attribute for "PRODUCT".
C. Use "COUNTRY" as compounding characteristic for "PRODUCT".
D. Use "SERIAL_NO" as a transitive attribute for "PRODUCT".

Answer: A

NEW QUESTION # 39
You create a DataStore object (advanced) using the "Data Mart DataStore Object" modeling property. Which behaviors are specific to this modeling property? Note: There are 2 correct answers to this question.

A. The change log table will be filled only after data activation.
B. Reporting is done based on a union of the inbound and active tables.
C. The records are treated as if all characteristics are in the key.
D. Query results are shown only when data has been activated.

Answer: B,C

NEW QUESTION # 40
Which of the Augmented Analytics Smart Features in SAP Analytics Cloud generates multi-tabbed stories with Overview, Key Influencers, Unexpected Values, and Simulation tabs?

A. Search to Insight
B. Smart Predict
C. Predictive Forecast
D. Smart Discovery

Answer: D

NEW QUESTION # 41
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