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Top Exam C_BW4H_2505 Overviews | Pass-Sure C_BW4H_2505 Valid Dumps Questions: SAP Certified Associate - Data Engineer - SAP BW/4HANA

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SAP C_BW4H_2505 Exam Syllabus Topics:

Topic	Details
Topic 1	Data Acquisition into SAP BW 4HANA: This section tests how Data Engineers manage data integration into SAP BW 4HANA from multiple sources. It covers essential knowledge of tools and processes used for data extraction, transformation, and loading into the SAP environment.
Topic 2	SAP Analytics Tools and SAP Analytics Cloud: This section evaluates the skills of SAP Consultants in using tools like SAP Analytics Cloud, Lumira, and Analysis for Office to visualize and interpret data. It focuses on the consultant’s ability to apply business intelligence tools within the SAP ecosystem.
Topic 3	InfoObjects and InfoProviders:This section tests the knowledge of Data Engineers in working with InfoObjects and InfoProviders in SAP BW 4HANA. It involves handling data structures used for organizing, storing, and accessing analytical data.
Topic 4	SAP BW 4HANA Project and the Modeling Process:This section of the exam assesses how Data Engineers guide and contribute to SAP BW 4HANA projects. It includes knowledge of modeling workflows, project lifecycle stages, and collaboration strategies within project teams.
Topic 5	Fundamentals: This section of the exam measures the foundational understanding of SAP Consultants and covers essential terms and concepts related to SAP BW 4HANA and SAP Business Data Cloud. It focuses on the core framework and architecture necessary to navigate and work with these platforms.
Topic 6	SAP BW 4HANA Data Flow: This section of the exam measures the practical ability of SAP Consultants to load data within the SAP BW 4HANA environment. It assesses familiarity with data movement and transformation processes across different layers of the system.
Topic 7	Data Acquisition into SAP HANA: This section evaluates the capacity of SAP Consultants to integrate various data sources into SAP HANA. It assesses their ability to understand different ingestion techniques and ensure data accessibility for processing.
Topic 8	SAP BW 4HANA Modeling:This section targets the skills of Data Engineers in selecting appropriate modeling options and applying best practices like LSA++ within SAP BW 4HANA. It focuses on designing scalable, high-performing data models.
Topic 9	SAP BW Query Design: This section of the exam assesses the ability of Data Engineers to create and run queries using SAP BW 4HANA. It evaluates how well candidates can work with query components to retrieve and structure data effectively for reporting and analysis.

SAP Certified Associate - Data Engineer - SAP BW/4HANA Sample Questions (Q79-Q84):

NEW QUESTION # 79
Which request-based deletion is possible in a DataMart DataStore object?

A. Only the most recent request in the active data table
B. Any request in the active data table
C. Only the most recent non-activated request in the inbound table
D. Any non-activated request in the inbound table

Answer: A

Explanation:
In SAP BW/4HANA, aDataMart DataStore Object (DSO)is used to store detailed data for reporting and analysis. Request-based deletion allows you to remove specific data requests from the DSO. However, there are restrictions on which requests can be deleted, depending on whether they are in the inbound table or the active data table. Below is an explanation of the correct answer:
A). Only the most recent request in the active data tableIn a DataMart DSO, request-based deletion is possible only for themost recent requestin theactive data table. Once a request is activated, it moves from the inbound table to the active data table. To maintain data consistency, SAP BW/4HANA enforces the rule that only the most recent request in the active data table can be deleted. Deleting older requests would disrupt the integrity of the data.
* Steps to Delete a Request:
* Navigate to the DataStore Object in the SAP BW/4HANA environment.
* Identify the most recent request in the active data table.
* Use the request deletion functionality to remove the request.
* The SAP BW/4HANA Data Modeling Guide explicitly states that request-based deletion in the active data table is restricted to the most recent request to ensure data consistency.
Incorrect OptionsB. Any non-activated request in the inbound tableNon-activated requests reside in theinbound tableand can be deleted individually without restriction. However, this option is incorrect because the question specifically refers to theactive data table, not the inbound table.
Reference: The SAP BW/4HANA documentation confirms that non-activated requests in the inbound table can be deleted freely, but this is outside the scope of the question.
C). Only the most recent non-activated request in the inbound tableThis statement is incorrect because there is no restriction on deleting non-activated requests in the inbound table. All non-activated requests in the inbound table can be deleted individually, regardless of their order.
Reference: The SAP BW/4HANA Data Modeling Guide clarifies that non-activated requests in the inbound table do not have the same restrictions as those in the active data table.
D). Any request in the active data tableThis option is incorrect because SAP BW/4HANA does not allow the deletion of any request in the active data table. Only the most recent request can be deleted to maintain data integrity.
Reference: The SAP BW/4HANA Administration Guide explicitly prohibits the deletion of arbitrary requests in the active data table, as it could lead to inconsistencies.
ConclusionThe correct answer regarding request-based deletion in a DataMart DataStore Object is:Only the most recent request in the active data table.
This restriction ensures that data consistency is maintained while still allowing users to remove the latest data if needed.

NEW QUESTION # 80
Which are purposes of the Open Operational Data Store layer in the layered scalable architecture (LSA++) of SAP BW/4HANA? Note: There are 2 correctanswers to this question.

A. Transformations of data based on business logic
B. Real-time reporting on source system data without staging
C. Harmonization of data from several source systems
D. Initial staging of source system data

Answer: A,C

NEW QUESTION # 81
What are benefits of using an InfoSource in a data flow?Note: There are 2 correctanswers to this question.

A. Providing the delta extraction information of the source data
B. Enabling a data transfer process (DTP) to execute multiple sequential transformations
C. Realizing direct access to source data without storing them
D. Splitting a complex transformation into simple parts without storing intermediate data

Answer: B,D

NEW QUESTION # 82
With SAP BW/4HANA, the new HANA-optimized business content is designed according to the LSA++ framework.Which technical namespace is assigned to identify the new SAP ERP-related business content?

A. /IMO/
B. /BW4/
C. /CPMB/
D. /SFA/

Answer: A

NEW QUESTION # 83
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. Transformation Flow
C. Replication Flow
D. Entity relationship model

Answer: C

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.
References: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.
By using a Replication Flow, you can efficiently fetch delta data from a remote table in the SAP BW bridge space.

NEW QUESTION # 84
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Exam C_BW4H_2505 Overviews & C_BW4H_2505 Valid Dumps Questions

Top Exam C_BW4H_2505 Overviews | Pass-Sure C_BW4H_2505 Valid Dumps Questions: SAP Certified Associate - Data Engineer - SAP BW/4HANA

SAP C_BW4H_2505 Exam Syllabus Topics:

SAP Certified Associate - Data Engineer - SAP BW/4HANA Sample Questions (Q79-Q84):

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