SAP C_BW4H_2404 Dumps

The delta merge process is used to transfer data modifications from the delta storage to the main storage in SAP HANA database. It can be initiated in SAP BW/4HANA in the following ways:

•By using a specific process type in a process chain, called Trigger for DB Merge. This process type can be added to a process chain and linked to the loading processes that require a delta merge. The process type allows specifying the object type and name for the delta merge.

•By using the SAP BW/4HANA data load monitor, which is a web-based tool for monitoring and managing data loads. The data load monitor has an option to trigger a database merge for an object after a successful data load.

What is required before you can integrate an HDI Calculation View (data category Dimension) into another HDI Calculation View (data category Cube with Star Join) of the same HDI container?"

A. Create a synonym for the HDI Calculation View (data category Dimension).

B. Build the design time file of the HDI Calculation View (data category Dimension) to generate a runtime object.

C. Create a synonym for the HDI Calculation View (data category with Star Join).

D. Build the runtime object of the HDI Calculation View (data category Cube with Star Join) to generate a design time file.

Answer: B

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.

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SAP S/4HANA embedded analytics uses ABAP CDS view based virtual data model to provide real-time access to the transactional data without data replication. It is a collection of SAP Fiori tiles that enable real-time operational reporting. SAP S/4HANA embedded analytics comes with a lot of predefined analytical apps based on Fiori and on SAP Analytics Cloud for various functional areas. The main user types addressed by SAP S/4HANA embedded analytics are business users and analytics specialists.

•D. Flexible Enterprise Data Warehouse Core layer: This is the layer of the layered scalable architecture (LSA++) of SAP BW/4HANA that is designed as the main storage for harmonized consistent data. The Flexible Enterprise Data Warehouse Core layer contains the Corporate Memory and the Quality & Harmonization layers, which are used to store and harmonize data from different sources and systems. The data in this layer is modeled using DataStore objects (advanced) and InfoObjects, and can be accessed by different data marts for reporting and analysis purposes12.

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•Run the program RODPS_OS_EXPOSE in SAP ERP for the Data-Source: This program can enable a generic DataSource in SAP ERP to be used as an ODP_SAP DataSource in SAP BW/4HANA by exposing it to the ODP framework. This allows the data to be transferred via RFC or HTTP calls without using a PSA layer12.

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•A. High Cardinality is set in InfoObject B: This is an object property that prevents you from changing InfoObject B into a navigational attribute for InfoObject A. A characteristic with high cardinality cannot be used as a navigation attribute for another characteristic, and therefore it cannot have navigation attributes itself12.

•B. Attribute Only is set in InfoObject B: This is an object property that prevents you from changing InfoObject B into a navigational attribute for InfoObject A. A characteristic that is marked as an exclusive attribute can only be used as a display attribute for another characteristic, but not as a navigational attribute. In addition, the characteristic cannot be transferred into InfoCubes34.

•D. Conversion Routine “ALPHA” is set in InfoObject A: This is an object property that prevents you from changing InfoObject B into a navigational attribute for InfoObject A. A characteristic that has a conversion routine cannot have navigational attributes, because the conversion routine would have to be applied to the navigational attributes as well, which is not possible5 .

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