SAP Certified Associate - Data Engineer - SAP BW/4HANA : C-P2WBW-2505

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SAP C-P2WBW-2505 Exam Syllabus Topics:

SAP Certified Associate - Data Engineer - SAP BW/4HANA Sample Questions:

1. Which features of an SAP BW/4HANA InfoObject are intended to reduce physical data storage space? Note: There are 2 correct answers to this question.

A) Transitive attribute
B) Enhanced master data update
C) Compounding characteristic
D) Reference characteristic

2. 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
B) One result row with the sales revenue sum of all 100 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 the other 90 customers
D) 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

3. In a DataStore object (advanced) of type Data Mart, which request-based deletion is possible?

A) Only the most recent request in the active data table
B) Any request in the active data table
C) Any not activated request in the inbound table
D) Only the most recent not activated request in the inbound table

4. 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

5. What are the possible ways to fill a pre-calculated value set (bucket)? Note: There are 3 correct answers to this question.

A) By using a transformation and data transfer process (DTP)
B) By accessing an SAP HANA HDI Calculation View of data category Dimension
C) By using a query (update value set by query)
D) By referencing a table
E) By entering the values manually

Solutions: