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Real SAP C_BW4H_2404 Questions & C_BW4H_2404 Exam Dumps Pdf

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SAP C_BW4H_2404 Exam Syllabus Topics:

Topic
Details

Topic 1

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

Topic 2

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 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

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

SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q45-Q50):

NEW QUESTION # 45
Which layer of the layered scalable architecture (LSA++) of SAP BW/4HANA is designed as the main storage for harmonized consistent data?

A. Open operational data store layer
B. Data acquisition layer
C. Flexible Enterprise Data Warehouse Core layer.
D. Virtual data mart layer

Answer: C

Explanation:
* 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.
Reference:
* 1 https://help.sap.com/doc/saphelp_nw75/7.5.5/en-US/4a/124597ca771b41e10000000a421937/content.htm
* 2 https://help.sap.com/doc/r/dd104a87ab9249968e6279e61378ff66/11.0.8/en-US/0062afefa6db41eaa9460afef1894beb.html

NEW QUESTION # 46
You create a Data Store object (advanced) using the "Data Mart DataStore Object" modeling property. Which behaviors are specific to this modeling property? Note: There are 2 correct answers to this question.

A. The change log table will be filled only after data activation.
B. Reporting is done based on a union of the inbound active tables.
C. The records are treated as if all characteristics are in the key.
D. Query results are shown only when data has been activated.

Answer: B,C

Explanation:
* Data Mart DataStore Object Properties:
* Designed for flexible reporting scenarios where data is treated with minimal restrictions.
* Key Behaviors:
* Union for Reporting (Answer C):Combines inbound and active tables for reporting, allowing real-time insights.
* Key Handling (Answer D):All characteristics are treated as part of the key, ensuring no duplicate records in the Data Mart.
* Change Log Activation (Option A):The change log is irrelevant for Data Mart DSOs.
* Query Results (Option B):Query results can be shown even before data activation.
Incorrect Options:References:
* SAP BW/4HANA Advanced DataStore Object Documentation
* SAP Data Mart Modeling Guide

NEW QUESTION # 47
What are the reasons for implementing Composite Providers? Note: There are 2 correct answers to this question.

A. To provide an interface for using BW queries
B. To provide a virtual data mart layer that combines existing BW models
C. To directly expose an SAP HANA table from an external schema
D. To persist combined data for reporting

Answer: A,B

Explanation:
C. To provide an interface for using BW queries:
* Composite Providers allow exposing combined data sets to BW queries directly, acting as a bridge for reporting.
D. To provide a virtual data mart layer that combines existing BW models:
* They create a logical layer by combining multiple InfoProviders without persisting the data, facilitating flexible data analysis.
References: SAP BW/4HANA Composite Provider documentation (SAP Help Portal - Composite Providers).

NEW QUESTION # 48
Which source systems are supported in SAP BW bridge? Note: There are 3 correct answers to this question.

A. SAP Success Factors
B. SAP S/4HANA on-premise
C. SAP ECC
D. SAP S/4HANA Cloud
E. SAP Ariba

Answer: B,C,D

NEW QUESTION # 49
The behavior of a modeled dataflow depends on:
*The DataSource with its Delta Management method
*The type of the DataStore object (advanced) used as a target
*The update method of the key figures in the transformation.
Which of the following combinations provides consistent information for the target? Note: There are 3 correct answers to this question.

A. *DataSource with Delta Management method ABR
*DataStore Object (advanced) type Stard
*Update method Move
B. *DataSource with Delta Management method ABR
*DataStore Object (advanced) type Data Mart
*Update method Summation
C. *DataSource with Delta Management method AIE
*DataStore Object (advanced) type Data Mart
*Update method Summation
D. *DataSource with Delta Management method ABR
*DataStore Object (advanced) type Stard
*Update method Summation
E. *DataSource with Delta Management method ADD
*DataStore Object (advanced) type Stard
*Update method Move

Answer: A,B,D

Explanation:
The behavior of a modeled dataflow in SAP BW/4HANA depends on several factors, including theDelta Management methodof the DataSource, thetype of DataStore object (advanced)used as the target, and theupdate methodapplied to key figures in the transformation. To ensure consistent and accurate information in the target, these components must align correctly.
* Option B:
* DataSource with Delta Management method ABR:TheABR (After Image + Before Image) method tracks both the before and after states of changed records. This is ideal for scenarios where updates need to be accurately reflected in the target system.
* DataStore Object (advanced) type Stard:AStaging and Reporting DataStore Object (Stard)is designed for staging data and enabling reporting simultaneously. It supports detailed tracking of changes, making it compatible with ABR.
* Update method Summation:Thesummationupdate method aggregates key figures by adding new values to existing ones. This is suitable for ABR because it ensures that updates are accurately reflected without overwriting previous data.
* Option C:
* DataSource with Delta Management method ABR:As explained above, ABR is ideal for tracking changes.
* DataStore Object (advanced) type Stard:Stard supports detailed tracking of changes, making it compatible with ABR.
* Update method Move:Themoveupdate method overwrites existing key figure values with new ones. This is also valid for ABR because it ensures that the latest state of the data is reflected in the target.
* Option D:
* DataSource with Delta Management method ABR:ABR ensures accurate tracking of changes.
* DataStore Object (advanced) type Data Mart:AData MartDataStore Object is optimized for reporting and analytics. It can handle aggregated data effectively, making it compatible with ABR.
* Update method Summation:Summation is appropriate for aggregating key figures in a Data Mart, ensuring consistent and accurate results.
Correct Combinations:
* Option A:
* DataSource with Delta Management method ADD:TheADDmethod only tracks new records (inserts) and does not handle updates or deletions. This makes it incompatible with Stard and summation/move update methods, which require full change tracking.
* DataStore Object (advanced) type Stard:Stard requires detailed change tracking, which ADD cannot provide.
* Update method Move:Move is not suitable for ADD because it assumes updates or changes to existing data.
* Option E:
* DataSource with Delta Management method AIE:TheAIE (After Image Enhanced)method tracks only the after state of changed records.While it supports some scenarios, it is less comprehensive than ABR and may lead to inconsistencies in certain combinations.
* DataStore Object (advanced) type Data Mart:Data Mart objects require accurate aggregation, which AIE may not fully support.
* Update method Summation:Summation may not work reliably with AIE due to incomplete change tracking.
Incorrect Options:
SAP Data Engineer - Data Fabric Context:In the context ofSAP Data Engineer - Data Fabric, ensuring consistent and accurate dataflows is critical for building reliable data pipelines. The combination of Delta Management methods, DataStore object types, and update methods must align to meet specific business requirements. For example:
* Stardobjects are often used for staging and operational reporting, requiring detailed change tracking.
* Data Martobjects are used for analytics, requiring aggregated and consistent data.
For further details, refer to:
* SAP BW/4HANA Data Modeling Guide: Explains Delta Management methods and their compatibility with DataStore objects.
* SAP Learning Hub: Offers training on designing and implementing dataflows in SAP BW/4HANA.
By selectingB,C, andD, you ensure that the combinations provide consistent and accurate information for the target.

NEW QUESTION # 50
......

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