C_BW4H_214 Exam Dumps - SAP Application Associate Certification Questions and Answers

•C. Characteristic value: This type of variable can use the SAP HANA Exit processing type to determine default values for variables using an AMDP class implementation. This can improve the performance and flexibility of queries that are generated as external SAP HANA views12.

•D. Hierarchy node: This type of variable can use the SAP HANA Exit processing type to determine default values for variables using an AMDP class implementation. This can improve the performance and flexibility of queries that are generated as external SAP HANA views12.

References:

•1 https://help.sap.com/docs/r/107a6e8a38b74ede94c833ca3b7b6f51/1.0.8/en-US/b77f3073e9d842d6959e03e74dcefa09.html

•2 https://blogs.sap.com/2017/09/29/usage-of-sap-hana-exit-variables-for-a-standard-reporting-scenario/

•B. Reporting is done based on a union of the inbound and active tables: This is a behavior that is specific to the Data Mart DataStore Object modeling property. The query reads data from both the inbound table and the active table of the DataStore object, which means that it is not necessary to activate the data to be able to see all the data. The data read is consistent and stable, since data is only included up to the first inconsistent request12.

•D. The records are treated as if all characteristics are in the key: This is a behavior that is specific to the Data Mart DataStore Object modeling property. No keys can be specified for this type of DataStore object, but when the data is activated, it is grouped according to the aggregation behavior of all characteristics. Therefore, key figures cannot be overwritten and only additive deltas can be loaded12.

References:

•1 https://help.sap.com/docs/SAP_BW4HANA/107a6e8a38b74ede94c833ca3b7b6f51/1961a9b62f054cc5a4f0d98485b82fa9.html

•2 https://help.sap.com/docs/r/dd104a87ab9249968e6279e61378ff66/11.1.0/en-US/9cf20bb96e254f6b9b5bf1c9c1413f35.html

Separating master data from transactional data in SAP BW/4HANA has the following benefits:

• It allows different data load frequency for master data and transactional data, which can improve the performance and flexibility of data loading processes. Forexample, master data can be loaded daily or weekly, while transactional data can be loaded hourly or near real-time.
• It ensures referential integrity on your transactional data by using SID values that link the transactional data to the master data. This way, the transactional data can be consistent and accurate across different InfoProviders and queries.
• It provides language dependent master data texts that can be displayed in different languages according to the user’s preference. This way, the master data can be more user-friendly and understandable for different audiences.

•A. Use fewer drill-down characteristics in the initial view: This can improve the query performance by reducing the amount of data that needs to be transferred and displayed at the start of the query execution. The user can drill down to more details later if needed1.

•D. Use mandatory characteristic value variables: This can improve the query performance by restricting the data selection to a smaller set of values that are relevant for the user. The user can also change the variable values later if needed1.

•E. Use include functions in the restricted key figures: This can improve the query performance by avoiding unnecessary calculations and aggregations that are done when using exclude functions. Include functions are also more efficient than selections or restricted key figures when filtering data1.

References:

•2 https://blogs.sap.com/2015/04/20/query-performance-optimisation-tips-in-bw-73/

•1 https://blogs.sap.com/2022/02/02/query-performance-optimization-in-bw-few-tips/

•3 https://help.sap.com/doc/00f68c2e08b941f081002fd3691d86a7/2022.12/en-us/0471d0ecea4e4677ba29d9ac1496c24c.html

•4 https://blogs.sap.com/2021/06/02/sap-bw-4hana-performance-optimization-part-i/