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SAP C_BW4H_2505 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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.
Topic 4
  • 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 5
  • 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 6
  • 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 7
  • 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 8
  • 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.

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SAP Certified Associate - Data Engineer - SAP BW/4HANA Sample Questions (Q23-Q28):NEW QUESTION # 23
Which of the following are possible delta-specific fields for a generic DataSource in SAP S/4HANA? Note:
There are 3 correctanswers to this question.
  • A. Time stamp
  • B. Request ID
  • C. Record mode
  • D. Calendar day
  • E. Numeric pointer
Answer: A,D,E

NEW QUESTION # 24
You create an SAP HANA HDI Calculation View.
What are some of the reasons to choose the data category Cube with Star Join instead of data category Dimension? Note: There are 3 correct answers to this question.
  • A. You can persist transactional data.
  • B. You can create restricted columns.
  • C. You can provide default time characteristics.
  • D. You can combine master data transactional data.
  • E. You can aggregate measures as a sum.
Answer: C,D,E
Explanation:
When creating an SAP HANA HDI Calculation View, choosing thedata category Cube with Star JoinoverDimensiondepends on the specific requirements of your data model. Below is a detailed explanation of why the verified answers are correct.
* Data Category Dimension:
* Used for modeling master data or reference data.
* Does not support measures or aggregations.
* Typically used for descriptive attributes (e.g., customer names, product descriptions).
* Data Category Cube with Star Join:
* Used for modeling transactional data with measures and dimensions.
* Supports star schema designs, combining fact tables (measures) and dimension tables (attributes).
* Enables advanced features like aggregations, time characteristics, and joins between master and transactional data.
* Star Join:
* A star join connects a fact table (containing measures) with dimension tables (containing attributes) in a star schema.
* It is optimized for performance and scalability in analytical queries.
Key Concepts:
* Option A: You can combine master data transactional data.
* Why Correct?The Cube with Star Join data category is specifically designed to combine transactional data (fact tables) with master data (dimension tables).This enables comprehensive reporting and analysis.
* Option B: You can persist transactional data.
* Why Incorrect?Persisting transactional data is not a feature of the Cube with Star Join data category. Persistence is typically handled at the database or application layer.
* Option C: You can provide default time characteristics.
* Why Correct?The Cube with Star Join data category supports default time characteristics (e.g., fiscal year, calendar year), which are essential for time-based reporting and analysis.
* Option D: You can create restricted columns.
* Why Incorrect?Restricted columns are a feature of calculation views but are not specific to the Cube with Star Join data category.They can also be created in Dimension views.
* Option E: You can aggregate measures as a sum.
* Why Correct?The Cube with Star Join data category supports aggregations, such as summing measures.This is a key feature for analyzing transactional data.
Verified Answer Explanation:
* SAP HANA Modeling Guide:The guide explains the differences between data categories like Dimension and Cube with Star Join, highlighting their respective use cases.
* SAP Note 2700850:This note provides examples of scenarios where Cube with Star Join is preferred over Dimension, emphasizing its ability to handle transactional data and aggregations.
* SAP Best Practices for HANA Modeling:SAP recommends using Cube with Star Join for analytical models that require combining master and transactional data, providing default time characteristics, and performing aggregations.

NEW QUESTION # 25
You use InfoObject B as a display attribute for InfoObject A.
Which object properties prevent you from changing InfoObject B into a navigational attribute for InfoObject A? Note: There are 3 correct answers to this question.
  • A. Conversion Routine "ALPHA" is set in InfoObject A.
  • B. High Cardinality is set in InfoObject B.
  • C. Data Type "Character String" is set in InfoObject A.
  • D. InfoObject B is defined as a Key Figure.
  • E. Attribute Only is set in InfoObject B.
Answer: B,D,E
Explanation:
In SAP BW/4HANA, when using InfoObjects and their attributes, certain properties of the objects can restrict or prevent specific configurations. Let's analyze each option to determine why B, C, and D are correct:
* Explanation: If an InfoObject is flagged as "Attribute Only," it means that this object is designed exclusively to serve as an attribute for another InfoObject. Such objects cannot be used as navigational attributes because navigational attributes require additional functionality, such as being part of reporting and navigation paths.
* In SAP BW/4HANA, the "Attribute Only" property is a restriction that prevents an InfoObject from being used in ways other than as a display attribute. This ensures that the object remains lightweight and focused on its intended purpose.
2. High Cardinality is set in InfoObject B (Option C)Explanation: High cardinality indicates that the InfoObject has a large number of unique values relative to the dataset size. Navigational attributes typically require efficient indexing and aggregation, which becomes challenging with high-cardinality fields.
Therefore, SAP BW/4HANA does not allow high-cardinality attributes to be used as navigational attributes.
Reference: High-cardinality attributes are better suited for use cases like drill-downs or detailed analysis rather than navigation. The system enforces this restriction to optimize performance and avoid excessive memory consumption.
3. InfoObject B is defined as a Key Figure (Option D)Explanation: Key Figures are numeric measures (e.
g., sales amount, quantity) and are fundamentally different from characteristics (descriptive attributes). Since navigational attributes must be characteristics, an InfoObject defined as a Key Figure cannot be converted into a navigational attribute.
Reference: In SAP BW/4HANA, Key Figures and Characteristics serve distinct roles in data modeling. Key Figures are used for calculations and aggregations, while Characteristics provide context and descriptive information.
4. Data Type "Character String" is set in InfoObject A (Option A)Explanation: The data type of InfoObject A (the primary InfoObject) does not influence whether InfoObject B can be converted into a navigational attribute. The data type of InfoObject B (the attribute) is more relevant in this context.
Reference: While the data type of InfoObject A may affect how the attribute is displayed or processed, it does not impose restrictions on converting InfoObject B into a navigational attribute.
5. Conversion Routine "ALPHA" is set in InfoObject A (Option E)Explanation: Conversion routines like
"ALPHA" are used to format or transform data during input/output operations. These routines do not impact the ability to convert an attribute into a navigational attribute.
Reference: Conversion routines are applied at the field level and do not interfere with the structural properties required for navigational attributes.
ConclusionThe correct answers areB (Attribute Only is set in InfoObject B),C (High Cardinality is set in InfoObject B), andD (InfoObject B is defined as a Key Figure). These properties directly conflict with the requirements for navigational attributes in SAP BW/4HANA.

NEW QUESTION # 26
In SAP BW/4HANA a query has been defined on a Datastore Object (advanced).
Which authorizations does an SAP BW/4HANA user need at minimum to change the query definition? Note:
There are 2 correct answers to this question.
  • A. Authorizations for the Authorization Object S_RS_COMP1
  • B. Authorizations for the Authorization Object S_RS_AUTH
  • C. Authorizations for the Authorization Object S_RS_ADSO
  • D. Authorizations for the Authorization Object S_RS_COMP
Answer: A,D
Explanation:
* Query Definition in SAP BW/4HANA: Queries in SAP BW/4HANA are created and maintained using the BEx Query Designer or SAP Analytics Cloud (SAC). They allow users to define complex reporting logic on top of InfoProviders like DataStore Objects (Advanced).
* Authorization Objects: SAP BW/4HANA uses authorization objects to control user access to specific functionalities. For modifying query definitions, users need appropriate authorizations for the relevant authorization objects.
* Relevant Authorization Objects:
* S_RS_COMP: Controls access to composite providers and query components.
* S_RS_COMP1: Provides fine-grained control over individual query components.
* S_RS_AUTH: Manages general query-related authorizations but is not specifically required for modifying query definitions.
* S_RS_ADSO: Controls access to DataStore Objects (Advanced) but is not directly related to query modifications.
* A. Authorizations for the Authorization Object S_RS_COMP:This object is required to access and modify query components, including those based on DataStore Objects (Advanced).Correct.
* B. Authorizations for the Authorization Object S_RS_AUTH:While this object governs general query- related authorizations, it is not specifically required for modifying query definitions.Incorrect.
* C. Authorizations for the Authorization Object S_RS_COMP1:This object provides granular control over query components, making it essential for modifying query definitions.Correct.
* D. Authorizations for the Authorization Object S_RS_ADSO:This object controls access to DataStore Objects (Advanced) but does not govern query modification permissions.Incorrect.
* A: S_RS_COMP is necessary for accessing and modifying query components, ensuring users can work with queries based on DataStore Objects (Advanced).
* C: S_RS_COMP1 provides fine-grained control over query components, enabling precise modifications to query definitions.
References:SAP BW/4HANA Security Guide: The official guide explains the role of authorization objects in controlling access to query-related functionalities.
SAP Note on Query Authorization: Notes such as 2608998 provide details on the specific authorization objects required for query modifications.
SAP Best Practices for Query Design: These guidelines recommend using S_RS_COMP and S_RS_COMP1 for managing query-related authorizations.
By ensuring users have the correct authorizations for S_RS_COMP and S_RS_COMP1, organizations can securely manage query modifications in SAP BW/4HANA.

NEW QUESTION # 27
What are the reasons for implementing CompositeProviders?Note: There are 2 correctanswers to this question.
  • A. To persist combined data for reporting
  • B. To provide a virtual data mart layer that combines existing BW models
  • C. To provide an interface for BW queries
  • D. To directly expose an SAP HANA table from an external schema
Answer: B,C

NEW QUESTION # 28
......
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