Learn, Practice, and Improve with SAP C_BW4H_2505 Practice Test Questions

Explanation:

The Flexible Enterprise Data Warehouse (EDW) Core layer is the central layer in LSA++ where harmonized, cleansed, and consolidated data from different sources is stored. It ensures consistency and serves as the main source for reporting and analytics.

Why the other options are incorrect

A. Open Operational Data Store (ODS) layer: This layer stores detailed transactional data close to the source system, mainly for operational reporting, not for harmonized consistent data.

B. Data Acquisition layer:
This is responsible for integrating and staging raw data from source systems, not for storing harmonized data.

D. Virtual Data Mart layer:
This layer is used for delivering data to specific reporting needs and analytics, often as a semantic view, without physically storing harmonized data.

References:

SAP Help Portal: “SAP BW/4HANA: Layered Scalable Architecture (LSA++)” – describes the EDW Core layer as the central storage for harmonized data.
SAP Press, “SAP BW/4HANA and the Future of Data Warehousing”, Chapter 3: explains the role of each LSA++ layer in storing and processing data.

Explanation:

The "Generate Data Flow" function in the Open ODS View editor is used when you need to materialize virtually exposed data from an Open ODS View into a physically persisted BW/4HANA object for historical storage, transformation, or reporting performance.

Here’s what happens when you execute this function:
An Advanced DataStore Object (ADSO) is created to physically store the data in BW/4HANA.
A Transformation is created between the Open ODS View (source) and the new ADSO (target).
A CompositeProvider is created that includes the new ADSO, allowing it to be used for query reporting.
This creates a complete, modeled data flow from the virtual source to a persisted data target while maintaining the original virtual view.

Why the Other Options Are Incorrect:

B. SAP HANA calculation view
– This is not created by this function in the BW/4HANA context. The Open ODS View itself is built on a HANA object (like a table or view), but the "Generate Data Flow" creates BW modeling objects, not additional HANA calculation views.

D. Data source
– A data source is an extraction object used for bringing data from a source system into BW. The Open ODS View is already the source in this scenario. The "Generate Data Flow" creates downstream BW objects, not a new extraction data source.

Reference
This function follows the "virtual then persist" modeling pattern in BW/4HANA.
It allows you to start with a quick virtual data consumption via an Open ODS View for real-time needs, and later persist the data for history, complex transformations, or performance without redesigning the model.

Explanation:

A. Selective deletion of data
This is a core administrative function for aDSOs. It allows you to delete specific records based on filter criteria (e.g., deleting all data for a specific Year or Company Code). In a Standard aDSO, this typically targets the Active Data table. Note that while powerful, it does not automatically update subsequent targets (the "delta" isn't sent forward as a deletion unless specific steps are taken).

C. Request-based data deletion
Standard aDSOs support request management through the RSPM (Request Status and Process Management) framework. You can delete entire load requests.
If the requ
est is still in the Inbound Table (not activated), it is simply removed. If it has been Activated, BW/4HANA can perform a "Rollback" by using the Change Log to reverse the values in the Active Table and then deleting the request.

D. Deletion of data from all tables
In the BW/4HANA Cockpit or Modeling Tools, there is a "Delete Data" function (often referred to as "Clean Up" or "Delete All") that allows you to wipe the aDSO entirely. This action clears the Inbound Table, Active Data Table, and Change Log simultaneously. It is the fastest way to reset a provider during development or testing.

Why the others are incorrect:

B. Selective deletion including data of subsequent targets:
This is not a standard automated feature of the aDSO deletion tool. While you can manually coordinate deletions across a flow, the aDSO selective deletion tool itself only acts on the current object.

E. Deletion of all data from active table only:
While you can selectively delete data that happens to be in the active table, "Deletion of all data from active table only" is not offered as a standalone "one-click" standard option that ignores the other tables (Inbound/Change Log). Standard "Delete All" operations target the entire object structure to maintain consistency.

Explanation:

A. Splitting a complex transformation into simple parts without storing intermediate data
✔ Correct. An InfoSource allows you to break down complex transformations into smaller, manageable steps. This modular approach makes it easier to design, test, and maintain transformations without needing to persist intermediate results in separate objects.

B. Providing the delta extraction information of the source data
❌ Incorrect. Delta extraction logic is handled at the DataSource level, not the InfoSource. The InfoSource is more about structuring transformations, not managing extraction modes.

C. Realizing direct access to source data without storing them
❌ Incorrect. Direct access to source data is achieved via Open ODS Views or DataSources, not InfoSources. InfoSources are transformation-layer objects, not extraction-layer objects.

D. Enabling a data transfer process (DTP) to execute multiple sequential transformations
✔ Correct. InfoSources act as a virtual layer between DataSources and targets (like ADSOs or InfoObjects). They allow a single DTP to chain multiple transformations together, which is especially useful when you want to reuse logic across different targets.

Reference:
SAP official documentation on BW/4HANA InfoSources highlights their role in structuring transformations and enabling sequential processing rather than extraction or direct access. You can find more details in SAP Help Portal – BW/4HANA InfoSource (help.sap.com in Bing).

Explanation:

The ODS layer acts as a bridge between source systems and the EDW Core. It allows initial staging of detailed transactional data and supports real-time reporting on source system data without the need for consolidation, providing operational insights.

Why the other options are incorrect :

A. Harmonization of data from several source systems: Harmonization occurs in the EDW Core layer, where data from multiple sources is cleansed and consolidated, not in the ODS.

B. Transformations of data based on business logic: Complex transformations and business logic are typically applied in the EDW Core layer or in transformations between ODS and EDW, not in the ODS itself.

References :
SAP Help Portal: “SAP BW/4HANA – Layered Scalable Architecture (LSA++)”, section on ODS: details initial staging and operational reporting. SAP Press, “SAP BW/4HANA: An Introduction”, Chapter 3: describes ODS as the operational layer for staging and near-real-time reporting.

Explanation:

A Pre-calculated Value Set (often called a Bucket) in BW/4HANA is a reusable object for value grouping and classification. It's populated with a fixed set of values that define the "buckets" for subsequent use in transformations or queries.

There are three primary methods to populate it:

B. By accessing an SAP HANA HDI Calculation View of data category Dimension
This is a virtual fill method. The bucket definition (value set) is based directly on a dimension-type SAP HANA calculation view, allowing for real-time consumption of the grouping logic without persisting it in BW.

C. By using a transformation data transfer process (DTP)
This is a data transfer method. You create a transformation with the value set as the target and a source InfoProvider (like an ADSO or InfoObject). A DTP then executes the data flow to populate the value set with data from the source.

D. By entering the values manually
This is the manual maintenance method. In the value set editor, you can manually create, edit, and delete the individual value intervals (buckets) directly.

Why the Other Options Are Incorrect:

A. By using a BW query (update value set by query)
– There is no standard function to populate a pre-calculated value set directly via a BW query. Queries are for reporting, not for loading or maintaining master data objects like value sets.

E. By referencing a table
– While you can load data from a database table via a transformation, the option "by referencing a table" is too vague and not a direct, standalone method. The correct path is to use a transformation/DTP where the table would be the source (e.g., via an Open ODS View). It is not a distinct, direct fill method like the three correct ones listed.

Reference:
Pre-calculated value sets are a master data-like object used for fixed value groupings (e.g., age groups, revenue categories).

Explanation:

A. DataStore Object (advanced)
✔ Correct. An ADSO (Advanced DataStore Object) is a central persistence layer in BW/4HANA. It can serve as both a source and a target in a DTP. When used as a source, the DTP reads data from the ADSO to move it downstream (e.g., into another ADSO, InfoObject, or CompositeProvider).

B. Open ODS view
❌ Incorrect. Open ODS Views are designed for virtual access to external data sources. They are not valid sources for a DTP because DTP requires persisted BW objects. Instead, Open ODS Views are consumed directly in queries or CompositeProviders.

C. InfoSource
✔ Correct. An InfoSource is a logical layer that allows you to connect multiple DataSources to multiple targets. It can be used as a source in a DTP, enabling you to execute transformations and route data flexibly.

D. CompositeProvider
❌ Incorrect. A CompositeProvider is a virtual modeling object used for reporting and combining data from ADSOs, InfoObjects, or Open ODS Views. It is not a source for a DTP because DTP is about data movement/persistence, not reporting.

Reference:
SAP BW/4HANA documentation confirms that DTP sources can be ADSOs, InfoSources, and other persistent BW objects, but not virtual reporting objects like CompositeProviders or Open ODS Views. See SAP Help Portal: Data Transfer Process (DTP) in BW/4HANA (help.sap.com) (help.sap.com in Bing).