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SAP C-BW4H-2404 考試大綱：

主題
簡介

主題 1

SAP BW
4HANA Project and the Modeling Process: This segment offers direction on orchestrating SAP BW
4HANA initiatives.

主題 2

SAP BW4HANA Project and Modeling Process: In this topic, candidates learn about how to design and implement efficient data models within environment of the SAP BW
4HANA.

主題 3

SAP BW Query Design: This portion encompasses the development and implementation of BW queries in the SAP BW
4HANA environment.

主題 4

Performance Optimization: This section scrutinizes elements associated with enhancing system efficiency.

主題 5

Fundamentals: This portion explores key terminologies, principles, and benefits of SAP BW
4HANA built on SAP HANA technology.

最新的 SAP Certified Associate C-BW4H-2404 免費考試真題 (Q38-Q43):

問題 #38
Which entity can be used as a source of an Analytic Model?

A. Tables of semantic type Hierarchy
B. Business entities of semantic type Dimension
C. Views of semantic type Fact
D. Remote tables of semantic type Text

答案：C

問題 #39
An upper-level CompositeProvider compares current values with historic values based on a union operation. The current values are provided by a DataStore object (advanced) that is updated daily.
Historic values are provided by a lower-level CompositeProvider that combines different open ODS views from DataSources.
What can you do to improve the performance of the BW queries that use the upper-level CompositeProvider? Note: There are 2 correct answers to this question.

A. Replace the DataStore object (advanced) for current data by an Open ODS view that accesses the current data directly from the source system.
B. Use the "Generate Dataflow" feature for the Open ODS views load the historic data to the new generated DataStore objects (advanced).
C. Replace the lower-level CompositeProvider with a new DataStore object (advanced) fill it with the same combination of historic data.
D. Use a join node instead of the Union node in the upper-level CompositeProvider.

答案：A,D

問題 #40
Which features of an SAP BW/4HANA InfoObjet are intended to reduce the physical data volume? Note; There are 2 correct answers to this question.

A. Reference charateristic
B. Transitive attribute
C. Enhanced master data update
D. Compounding charateristic

答案：A,B

問題 #41
"What are benefits of separating master data from transactional data in SAP BW/4HANA? Note: There are 3 correct answer to this question."

A. Providing language dependent master data texts.
B. Avoiding generation of SID values.
C. Reducing the number of data transfer processes
D. Ensuring referential integrity on your transactional data
E. Allowing different data load frequency

答案：A,D,E

解題說明：
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. For example, 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.

問題 #42
In which ODP context is the operational delta queue (ODQ) managed by the target system?

A. ODP_CDS
B. ODP SAP
C. ODP_HANA
D. ODP_BW

答案：D

解題說明：
In the context ofOperational Data Provisioning (ODP), theoperational delta queue (ODQ)is a critical component that manages delta records for incremental data extraction. The management of the ODQ depends on the specific ODP context, particularly whether the target system or source system is responsible for maintaining the delta queue.
* ODP_BW (Option A):
* In theODP_BWcontext, theoperational delta queue (ODQ)is managed by thetarget system(SAP BW/4HANA).
* This means that SAP BW/4HANA takes responsibility for tracking and managing delta records, ensuring that only new or changed data is extracted during subsequent loads.
* This approach is commonly used when the source system does not natively support delta management or when the target system needs more control over the delta handling process.
* ODP_SAP (Option B):In theODP_SAPcontext, thesource system(e.g., SAP ERP) manages the operational delta queue. This is the default behavior for SAP source systems, where the source system maintains the delta queue and provides delta records to the target system upon request.
* ODP_CDS (Option C):TheODP_CDScontext is used for extracting data from Core Data Services (CDS) views in SAP HANA or SAP S/4HANA. In this context, delta handling is typically managed by the source system (SAP HANA or S/4HANA) and not the target system.
* ODP_HANA (Option D):TheODP_HANAcontext is used for extracting data from SAP HANA-based sources. Similar to ODP_CDS, delta handling in this context is managed by the source system (SAP HANA) rather than the target system.
* ODP_BW:
* Delta queue is managed by the target system (SAP BW/4HANA).
* Suitable for scenarios where the source system does not support delta management or when the target system requires more control.
* ODP_SAP:
* Delta queue is managed by the source system (e.g., SAP ERP).
* Default context for SAP source systems.
* ODP_CDS and ODP_HANA:
* Delta handling is managed by the source system (SAP HANA or S/4HANA).
* SAP Note 2358900 - Operational Data Provisioning (ODP) in SAP BW/4HANA:This note provides an overview of ODP contexts and their respective delta handling mechanisms.
* SAP BW/4HANA Data Modeling Guide:This guide explains the differences between ODP contexts and how they impact delta management in SAP BW/4HANA.
* Link:SAP BW/4HANA Documentation
Why Other Options Are Incorrect:Key Points About ODP Contexts:References to SAP Data Engineer - Data Fabric:By understanding the ODP context, you can determine how delta records are managed and ensure that your data extraction processes are optimized for performance and accuracy.

問題 #43
......

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