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[General] C_BW4H_2505 Passleader Review - C_BW4H_2505 Customized Lab Simulation

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【General】 C_BW4H_2505 Passleader Review - C_BW4H_2505 Customized Lab Simulation

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SAP C_BW4H_2505 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 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
  • Native SAP HANA Modeling:This section evaluates the ability of SAP Consultants to describe and apply native modeling options in SAP HANA. It emphasizes understanding how to build optimized data structures directly within the HANA platform.
Topic 4
  • 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 5
  • 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 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
  • 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 8
  • 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.

SAP Certified Associate - Data Engineer - SAP BW/4HANA Sample Questions (Q53-Q58):NEW QUESTION # 53
Why should you run an SAP HANA delta merge?Note: There are 2 correctanswers to this question.
  • A. To combine the query cache from different executions
  • B. To move the most recent data from disk to memory
  • C. To decrease memory consumption
  • D. To improve the read performance of InfoProviders
Answer: C,D

NEW QUESTION # 54
You want to create a restricted column in an SAP HANA HDI calculation view.What do you need to define?
Note: There are 2 correctanswers to this question.
  • A. A reference to an existing measure
  • B. An aggregation method
  • C. A condition criterion
  • D. An SAP HANA data type
Answer: A,C

NEW QUESTION # 55
Which objects in SAP BW/4HANA allow you to use both fields InfoObjects in their definition? Note: There are 3 correct answers to this question.
  • A. Composite Provider
  • B. Hierarchy
  • C. Open ODS View
  • D. InfoObject type Key Figure
  • E. DataStore Object (advanced)
Answer: A,C,E
Explanation:
In SAP BW/4HANA, various objects allow you to use fields and InfoObjects in their definition. Fields refer to technical column names in the underlying data source, while InfoObjects are semantic metadata objects that provide business context to the data. Below is a detailed explanation of the correct answers:
* Explanation: Hierarchies in SAP BW/4HANA are used to define hierarchical relationships for characteristics (e.g., organizational structures or product hierarchies). They rely on characteristics (InfoObjects) but do not directly involve fields from the underlying data source. Therefore, hierarchies cannot use both fields and InfoObjects in their definition.
* Hierarchies are purely metadata-driven and do not interact with technical fields.
Option B: InfoObject type Key FigureExplanation: Key Figures are a type of InfoObject used to store measurable values (e.g., revenue, quantity). While they can be used in various BW objects, they are not defined using both fields and InfoObjects. Key Figures are standalone metadata objects and do not combine fields from the underlying data source with InfoObjects.
Reference: Key Figures are part of the semantic layer and do not involve technical fields in their definition.
Option C: Open ODS ViewExplanation: Open ODS Views allow you to create virtual data models by directly accessing underlying database tables or views. They can use both fields (technical column names) from the source table and InfoObjects (semantic metadata) to define the structure of the view. This flexibility makes Open ODS Views a powerful tool for integrating raw data with BW semantics.
Reference: In SAP BW/4HANA, Open ODS Views are commonly used to expose external data sources while leveraging BW's metadata capabilities. They align with SAP Data Engineer - Data Fabric principles by enabling seamless integration of raw and semantic data.
Option D: DataStore Object (advanced)Explanation: Advanced DataStore Objects (aDSOs) are versatile storage objects in SAP BW/4HANA that support both reporting and data staging. They allow you to define fields (technical column names) and InfoObjects (semantic metadata) in their structure. This dual capability enables aDSOs to serve as a bridge between raw data and BW's semantic layer.
Reference: aDSOs are central to SAP BW/4HANA's data modeling approach, providing flexibility to use both fields and InfoObjects. They are widely used in SAP Data Engineer - Data Fabric scenarios for data harmonization and reporting.
Option E: Composite ProviderExplanation: Composite Providers combine data from multiple sources, such as InfoProviders, Open ODS Views, and external sources. They allow you to use both fields (from underlying data sources) and InfoObjects (from BW metadata) in their definition. This makes Composite Providers ideal for creating unified views of data across diverse sources.
Reference: Composite Providers are a key component of SAP BW/4HANA's virtual data modeling capabilities. They enable flexible data integration while maintaining compatibility with BW's semantic layer, aligning with SAP Data Engineer - Data Fabric principles.
SummaryThe following objects in SAP BW/4HANA allow you to use both fields and InfoObjects in their definition:
Open ODS View: Combines technical fields from the source with BW InfoObjects for semantic enrichment.
DataStore Object (advanced): Supports both raw fields and semantic InfoObjects for flexible data modeling.
Composite Provider: Integrates fields from various sources with BW InfoObjects to create unified data views.
These objects reflect SAP BW/4HANA's ability to seamlessly integrate raw data with semantic metadata, supporting efficient data engineering and analytics within the SAP Data Engineer - Data Fabric framework.

NEW QUESTION # 56
What are the prerequisites for deleting business partner attribute master data in SAP BW/4HANA? Note:
There are 2 correctanswers to this question.
  • A. In SAP BW/4HANA there must be no hierarchy data related to business partner values that should be deleted.
  • B. There must be no transaction data in a DataStore Object (advanced) referring to business partner values that should be deleted.
  • C. There must be no BW query as InfoProvider in SAP BW/4HANA that uses business partner as a free characteristic.
  • D. In SAP BW/4HANA there must be no analysis authorizations related to business partner values that should be deleted
Answer: A,B

NEW QUESTION # 57
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 correctanswers to this question.
  • A. Open ODS view of type Master Data
  • B. HDI Calculation View of data category Dimension
  • C. InfoObject of type Characteristic
  • D. Open ODS view of type Facts
Answer: A,C

NEW QUESTION # 58
......
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