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SAP C_BW4H_2404 Exam Syllabus Topics:

Topic	Details
Topic 1	Fundamentals: This portion explores key terminologies, principles, and benefits of SAP BW 4HANA built on SAP HANA technology.
Topic 2	SAP Datasphere: This part investigates the implementation of SAP Datasphere, encompassing its modeling components and the SAP BW bridge capabilities.
Topic 3	Data Acquisition into SAP BW 4HANA: This section addresses the incorporation of diverse data origins into SAP BW 4HANA and the methodologies for data ingestion.
Topic 4	SAP BW Query Design: This portion encompasses the development and implementation of BW queries in the SAP BW 4HANA environment.
Topic 5	SAP BW 4HANA Project and the Modeling Process: This segment offers direction on orchestrating SAP BW 4HANA initiatives.

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SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q58-Q63):

NEW QUESTION # 58
Which source types are available to create a generic DataSource in SAP ERP? Note: There are 3 correct answers to this question.

A. HDI Calculation View
B. SAP query
C. ABAP function module
D. ABAP class method
E. Database view

Answer: B,C,E

NEW QUESTION # 59
You need to derive an architecture overview model from a key figure matrix. Which is the first step you need to take?

A. Define data marts.
B. Analyze storage requirements.
C. Identify transformations.
D. Identify sources.

Answer: D

Explanation:
Deriving anarchitecture overview modelfrom a key figure matrix is a critical step in designing an SAP BW
/4HANA solution. The first step in this process is toidentify the sourcesof the data that will populate the key figures. Understanding the data sources ensures that the architecture is built on a solid foundation and can meet the reporting and analytical requirements.
* Identify sources (Option B):Before designing the architecture, it is essential to determine where the data for the key figures originates. This includes identifying:
* Source systems:ERP systems, external databases, flat files, etc.
* Data types:Transactional data, master data, metadata, etc.
* Data quality:Ensuring the sources provide accurate and consistent data.
* Identifying sources helps define the data extraction, transformation, and loading (ETL) processes required to populate the key figures in the architecture.
* Identify transformations (Option A):Transformations are applied to the data after it has been extracted from the sources. While transformations are an important part of the architecture, they cannot be defined until the sources are identified.
* Analyze storage requirements (Option C):Storage requirements depend on the volume and type of data being processed. However, these requirements can only be determined after the sources and data flows are understood.
* Define data marts (Option D):Data marts are designed to serve specific reporting or analytical purposes.
Defining data marts is a later step in the architecture design process and requires a clear understanding of the sources and transformations.
* Identify sources:Determine the origin of the data.
* Map data flows:Define how data moves from the sources to the target system.
* Apply transformations:Specify the logic for cleansing, enriching, and aggregating the data.
* Design storage layers:Decide how the data will be stored (e.g., ADSOs, InfoCubes).
* Define data marts:Create specialized structures for reporting and analytics.
* Source Identification:Identifying sources is the foundation of any data architecture. Without knowing where the data comes from, it is impossible to design an effective ETL process or storage model.
* Key Figure Matrix:A key figure matrix provides a high-level view of the metrics and dimensions required for reporting. It serves as a starting point for designing the architecture.
* SAP BW/4HANA Modeling Guide:This guide explains the steps involved in designing an architecture, including source identification and data flow mapping.
* Link:SAP BW/4HANA Documentation
* SAP Note 2700980 - Best Practices for Architecture Design in SAP BW/4HANA:This note provides recommendations for designing scalable and efficient architectures in SAP BW/4HANA.
Why Other Options Are Incorrect:Steps to Derive an Architecture Overview Model:Key Points About Architecture Design:References to SAP Data Engineer - Data Fabric:By starting withsource identification, you ensure that the architecture overview model is grounded in the actual data landscape, enabling a robust and effective solution design.

NEW QUESTION # 60
What are valid options when using the Data Flow feature of SAP Datasphere? Note: There are 3 correct answers to this question.

A. Remote tables can be used as target objects.
B. NumPy Pas are automatically converted to SQL script.
C. Python language can be used for complex transformation.
D. Target mode can be Append Truncate or Delete.
E. Data can be combined using Union or Join operators.

Answer: C,D,E

NEW QUESTION # 61
You defined a condition in a BW query for the top 10 of 100 customers based on sales revenue.
Using key figure properties in the BW query which two scenarios regarding result presentation can be achieved? Note: There are 2 correct answers to this question.

A. One result row with the sales revenue sum of the top 10 customers a second result row with the sales revenue sum of the other 90 customers
B. One result row with the sales revenue sum of the top 10 customers
C. One result row with the sales revenue sum of all 100 customers
D. One result row with the sales revenue sum of the top 10 customers a second result row with the sales revenue sum of all 100 customers

Answer: A,B

Explanation:
In SAP BW queries, conditions and key figure properties are powerful tools for filtering and aggregating data to meet specific reporting requirements. When defining a condition in a BW query for the top 10 of 100 customers based on sales revenue, you can control how the results are presented by configuring the key figure properties. Below is an explanation of the correct answers:
C: One result row with the sales revenue sum of the top 10 customersThis scenario is achievable by applying aconditionin the BW query to filter for the top 10 customers based on sales revenue. The query will calculate the sum of sales revenue for only those top 10 customers and display it as a single result row. This approach focuses solely on the subset of data that meets the condition.

NEW QUESTION # 62
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 lower-level CompositeProvider with a new DataStore object (advanced) fill it with the same combination of historic data.
B. Use the "Generate Dataflow" feature for the Open ODS views load the historic data to the new generated DataStore objects (advanced).
C. Use a join node instead of the Union node in the upper-level CompositeProvider.
D. Replace the DataStore object (advanced) for current data by an Open ODS view that accesses the current data directly from the source system.

Answer: A,B

Explanation:
Improving the performance of BW queries that use a CompositeProvider involves optimizing the underlying data sources and their integration. Let's analyze each option to determine why A and D are correct:
* Explanation: CompositeProviders are powerful tools for combining data from multiple sources, but they can introduce performance overhead due to the complexity of union operations. Replacing the lower- level CompositeProvider with a DataStore object (advanced) simplifies the data model and improves query performance. The DataStore object can be preloaded with the combined historic data, eliminating the need for real-time union operations during query execution.

NEW QUESTION # 63
......

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PASS GUARANTEED QUIZ SAP - C_BW4H_2404 - EFFICIENT SAMPLE SAP CERTIFIED ASSOCIATE - DATA ENGINEER - DATA FABRIC QUESTIONS PDF

Pass Guaranteed Quiz SAP - C_BW4H_2404 - Efficient Sample SAP Certified Associate - Data Engineer - Data Fabric Questions Pdf