SAP C-BW4H-2505 KEY CONCEPTS | TESTING C-BW4H-2505 CENTER

SAP C-BW4H-2505 Key Concepts | Testing C-BW4H-2505 Center

SAP C-BW4H-2505 Key Concepts | Testing C-BW4H-2505 Center

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SAP Certified Associate - Data Engineer - SAP BW/4HANA Sample Questions (Q54-Q59):

NEW QUESTION # 54
Which entity can be used as a source of an Analytic Model?

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

Answer: C

Explanation:
AnAnalytic Modelin SAP Data Fabric or SAP BW/4HANA is designed to analyze data by combining facts (measures) and dimensions (attributes). To create an Analytic Model, you need a source entity that represents the fact data. Below is a detailed explanation of why the correct answer is B:
* Incorrect: Business entities of semantic typeDimensionrepresent descriptive attributes (e.g., customer name, product category) rather than measurable data. While dimensions are essential for enriching fact data, they cannot serve as the primary source of an Analytic Model.
Option A: Business entities of semantic type Dimension
* Correct: Views of semantic typeFactcontain measurable data (e.g., sales revenue, quantity sold) and are the primary source for an Analytic Model. These views provide the numerical data required for analysis and reporting.
Option B: Views of semantic type Fact
* Incorrect: Tables of semantic typeHierarchydefine hierarchical relationships (e.g., organizational structures or product hierarchies). While hierarchies are useful for organizing and navigating data, they do not contain measurable data and cannot serve as the source of an Analytic Model.
Option C: Tables of semantic type Hierarchy
* Incorrect: Remote tables of semantic typeTextstore textual descriptions (e.g., product names, region names). These tables are used to enhance dimensions but do not contain measurable data and are not suitable as the source of an Analytic Model.
Option D: Remote tables of semantic type Text
* SAP Data Fabric Documentation: Explains the role of semantic types in defining the purpose of entities (e.g., Fact, Dimension, Hierarchy, Text).
* SAP BW/4HANA Modeling Guide: Describes how Analytic Models are built using fact data as the primary source and dimensions for contextual enrichment.
* SAP Analytics Cloud Integration: Highlights the importance of fact views in enabling advanced analytics and reporting.
References to SAP Data Engineer - Data Fabric ConceptsBy understanding the semantic types and their roles, you can effectively design Analytic Models that meet business requirements for data analysis and reporting.


NEW QUESTION # 55
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. Replication Flow
  • B. Transformation Flow
  • C. Entity relationship model
  • D. Data Flow

Answer: A

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 # 56
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 Cloud
  • C. SAP Ariba
  • D. SAP ECC
  • E. SAP S/4HANA on-premise

Answer: B,D,E

Explanation:
SAP BW bridge is designed to integrate data from various source systems into SAP BW/4HANA or SAP Datasphere. Let's analyze each option:
* Option A: SAP AribaSAP Ariba is a cloud-based procurement solution and is not directly supported as a source system in SAP BW bridge. While SAP Ariba data can be integrated into SAP systems, it typically requires intermediate tools like SAP Integration Suite or APIs for data extraction.
* Option B: SAP ECCSAP ECC (ERP Central Component) is fully supported as a source system in SAP BW bridge. SAP BW bridge provides connectors and extractors to extract data from SAP ECC systems, enabling seamless integration into SAP BW/4HANA or SAP Datasphere.
* Option C: SAP SuccessFactorsSAP SuccessFactors is a cloud-based human capital management (HCM) solution. It is not natively supported as a source system in SAP BW bridge. Similar to SAP Ariba, integrating data from SAP SuccessFactors typically involves using APIs or middleware solutions.
* Option D: SAP S/4HANA on-premiseSAP S/4HANA on-premise is fully supported as a source system in SAP BW bridge. The bridge provides robust connectivity and extraction capabilities to integrate data from on-premise S/4HANA systems into SAP BW/4HANA or SAP Datasphere.
* Option E: SAP S/4HANA CloudSAP S/4HANA Cloud is also supported as a source system in SAP BW bridge. The bridge leverages APIs and OData services to extract data from S/4HANA Cloud, ensuring compatibility with cloud-based deployments.
References:SAP BW Bridge Documentation: Lists the supported source systems and their integration capabilities.
SAP Help Portal: Provides detailed information on connecting SAP BW bridge to various source systems.
SAP Integration Guides: Highlight best practices for integrating data from SAP ECC and S/4HANA systems.
In summary, the supported source systems in SAP BW bridge areSAP ECC,SAP S/4HANA on-premise, andSAP S/4HANA Cloud.


NEW QUESTION # 57
In which ODP context is the operational delta queue (ODQ) managed by the target system?

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

Answer: B

Explanation:
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.


NEW QUESTION # 58
For which use case would you need to model a transitive attribute?

  • A. Generate a transient provider for a BW query on master data attributes
  • B. Report on navigational attributes of navigational attributes
  • C. Load attributes using the enhanced master data update
  • D. Store time-dependent snapshots of master data attributes

Answer: B

Explanation:
* Transitive Attributes Use Case:
* Transitive attributes allow reporting on navigational attributes of other navigational attributes.
* Scenarios:
* For example, if a Product has a Supplier (navigational attribute), and the Supplier has a Country (navigational attribute), a transitive attribute enables reporting directly on the Country associated with a Product.
References:
SAP Help Portal - Transitive Attributes
SAP BW/4HANA Attribute Modeling Guide


NEW QUESTION # 59
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