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SAP C_BW4H_2404 Exam Syllabus Topics:

Topic
Details

Topic 1

SAP Datasphere: This part investigates the implementation of SAP Datasphere, encompassing its modeling components and the SAP BW bridge capabilities.

Topic 2

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

Topic 3

Data Modeling and Design: This segment delves into the attributes and features of modeling entities within SAP BW
4HANA and SAP HANA HDI frameworks.

Topic 4

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.

Topic 5

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

Topic 6

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

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SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q68-Q73):

NEW QUESTION # 68
Which layer of the layered scalable architecture (LSA++) of SAP BW/4HANA is designed as the main storage for harmonized consistent data?

A. Data Acquisition layer
B. Open Operational Data Store layer
C. Virtual Data Mart layer
D. Flexible Enterprise Data Warehouse Core layer

Answer: D

Explanation:
TheLayered Scalable Architecture (LSA++)of SAP BW/4HANA is a modern data warehousing architecture designed to simplify and optimize the data modeling process. It provides a structured approach to organizing data layers, ensuring scalability, flexibility, and consistency in data management. Each layer in the LSA++ architecture serves a specific purpose, and understanding these layers is critical for designing an efficient SAP BW/4HANA system.
* LSA++ Overview:The LSA++ architecture replaces the traditional Layered Scalable Architecture (LSA) with a more streamlined and flexible design. It reduces complexity by eliminating unnecessary layers and focusing on core functionalities. The main layers in LSA++ include:
* Data Acquisition Layer: Handles raw data extraction and staging.
* Open Operational Data Store (ODS) Layer: Provides operational reporting and real-time analytics.
* Flexible Enterprise Data Warehouse (EDW) Core Layer: Acts as the central storage for harmonized and consistent data.
* Virtual Data Mart Layer: Enables virtual access to external data sources without physically storing the data.
* Flexible EDW Core Layer:TheFlexible EDW Core layeris the heart of the LSA++ architecture. It is designed to store harmonized, consistent, and reusable data that serves as the foundation for reporting, analytics, and downstream data marts. This layer ensures data quality, consistency, and alignment with business rules, making it the primary storage for enterprise-wide data.
* Other Layers:
* Data Acquisition Layer: Focuses on extracting and loading raw data from source systems into the staging area. It does not store harmonized or consistent data.
* Open ODS Layer: Provides operational reporting capabilities and supports real-time analytics.
However, it is not the main storage for harmonized data.
* Virtual Data Mart Layer: Enables virtual access to external data sources, such as SAP HANA views or third-party systems. It does not store data physically.
* Option A: Open Operational Data Store layerThis option is incorrect because the Open ODS layer is primarily used for operational reporting and real-time analytics. While it stores data, it is not the main storage for harmonized and consistent data.
* Option B: Data Acquisition layerThis option is incorrect because the Data Acquisition layer is responsible for extracting and staging raw data from source systems. It does not store harmonized or consistent data.
* Option C: Flexible Enterprise Data Warehouse Core layerThis option is correct because the Flexible EDW Core layer is specifically designed as the main storage for harmonized, consistent, and reusable data. It ensures data quality and alignment with business rules, making it the central repository for enterprise-wide analytics.
* Option D: Virtual Data Mart layerThis option is incorrect because the Virtual Data Mart layer provides virtual access to external data sources. It does not store data physically and is not the main storage for harmonized data.
* SAP BW/4HANA Modeling Guide: The official documentation highlights the role of the Flexible EDW Core layer as the central storage for harmonized and consistent data. It emphasizes the importance of this layer in ensuring data quality and reusability.
* SAP Note 2700850: This note explains the LSA++ architecture and its layers, providing detailed insights into the purpose and functionality of each layer.
* SAP Best Practices for BW/4HANA: SAP recommends using the Flexible EDW Core layer as the foundation for building enterprise-wide data models. It ensures scalability, flexibility, and consistency in data management.
Key Concepts:Verified Answer Explanation:SAP Documentation and References:Practical Implications:
When designing an SAP BW/4HANA system, it is essential to:
* Use the Flexible EDW Core layer as the central repository for harmonized and consistent data.
* Leverage the Open ODS layer for operational reporting and real-time analytics.
* Utilize the Virtual Data Mart layer for accessing external data sources without physical storage.
By adhering to these principles, you can ensure that your data architecture is aligned with best practices and optimized for performance and scalability.
References:
* SAP BW/4HANA Modeling Guide
* SAP Note 2700850: LSA++ Architecture and Layers
* SAP Best Practices for BW/4HANA

NEW QUESTION # 69
Which type of data builder object can be used to fetch delta data from a remote table located in the SAP BW bridge space?

A. Data Flow
B. Replication Flow
C. Entity relationship model
D. Transformation Flow

Answer: B

Explanation:
* Delta Data: Delta data refers to incremental changes (inserts, updates, or deletes) in a dataset since the last extraction. Fetching delta data is essential for maintaining up-to-date information in a target system without reprocessing the entire dataset.
* SAP BW Bridge Space: The SAP BW bridge connects SAP BW/4HANA with SAP Datasphere, enabling real-time data replication and virtual access to remote tables.
* Data Builder Objects: In SAP Datasphere, Data Builder objects are used to define and manage data flows, transformations, and replications. These objects include Replication Flows, Transformation Flows, and Entity Relationship Models.
* A. Transformation Flow:A Transformation Flow is used to transform data during the loading process.
While useful for data enrichment or restructuring, it does not specifically fetch delta data from a remote table.
* B. Entity Relationship Model:An Entity Relationship Model defines the relationships between entities in SAP Datasphere. It is not designed to fetch delta data from remote tables.
* C. Replication Flow:A Replication Flow is specifically designed to replicate data from a source system to a target system. It supports both full and delta data replication, making it the correct choice for fetching delta data from a remote table in the SAP BW bridge space.
* D. Data Flow:A Data Flow is a general-purpose object used to define data extraction, transformation, and loading processes. While it can handle data movement, it does not inherently focus on delta data replication.
Key Concepts:Analysis of Each Option:Why Replication Flow is Correct:Replication Flow is the only Data Builder object explicitly designed to handle delta data replication. When configured for delta replication, it identifies and extracts only the changes (inserts, updates, or deletes) from the remote table in the SAP BW bridge space, ensuring efficient and up-to-date data synchronization.
* SAP Datasphere Documentation: The official documentation highlights the role of Replication Flows in fetching delta data from remote systems.
* SAP BW Bridge Documentation: The SAP BW bridge supports real-time data replication, and Replication Flows are the primary mechanism for achieving this in SAP Datasphere.
* SAP Best Practices for Data Replication: These guidelines recommend using Replication Flows for incremental data loading to optimize performance and reduce resource usage.
References:By using a Replication Flow, you can efficiently fetch delta data from a remote table in the SAP BW bridge space.

NEW QUESTION # 70
Where is the button that automatically generates a process chain?

A. In the app called Process Chain Editor
B. In the SAP GUI transaction for Process Chain Maintenance
C. In the editor of a data flow object
D. In the editor of a data transfer process

Answer: C

NEW QUESTION # 71
What is the maximum number of reference characteristics that can be used for one key figure with a multi- dimensional exception aggregation in a BW query?

A. 0
B. 1
C. 2
D. 3

Answer: D

Explanation:
For key figures with multi-dimensional exception aggregation in SAP BW, a maximum of5 reference characteristicscan be used.
* This limitation is essential to ensure performance and prevent excessive computational overhead during query execution.
* Reference characteristics are used to define dimensions or characteristics on which exception aggregation operates.
References:
* SAP Data Engineer - Multi-dimensional Aggregation Guidelines
* SAP Help on Aggregation and Reference Characteristics

NEW QUESTION # 72
You created an Open ODS view of type Facts.
With which object types can you associate a field in the Characteristics folder? Note: There are 2 correct answers to this question.

A. Open ODS view of type Facts
B. InfoObject of type Characteristic
C. Open ODS view of type Master Data
D. HDI Calculation View of data category Dimension

Answer: B,C

NEW QUESTION # 73
......

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