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100% Pass 2025 C_BW4H_2404: High-quality SAP Certified Associate - Data Engineer - Data Fabric Reliable Exam Answers
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SAP C_BW4H_2404 Exam Syllabus Topics:
Topic
Details
Topic 1
- Fundamentals: This portion explores key terminologies, principles, and benefits of SAP BW
- 4HANA built on SAP HANA technology.
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
- SAP BW Query Design: This portion encompasses the development and implementation of BW queries in the SAP BW
- 4HANA environment.
Topic 4
- SAP Datasphere: This part investigates the implementation of SAP Datasphere, encompassing its modeling components and the SAP BW bridge capabilities.
Topic 5
- SAP BW
- 4HANA Project and the Modeling Process: This segment offers direction on orchestrating SAP BW
- 4HANA initiatives.
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SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q80-Q85):
NEW QUESTION # 80
Which disadvantages should you keep in mind when you set the High Cardinality flag for a characteristic? Note: There are 2 correct answers to this question.
- A. You cannot load more than 2 billion master data records for this characteristic
- B. You cannot use navigation attributes for this characteristic
- C. You cannot use this characteristic as a navigation attribute for another characteristic.
- D. SID numbers are created at runtime which might negatively affetct the reporting performance
Answer: B,D
Explanation:
* A. You cannot use navigation attributes for this characteristic: This is a disadvantage of setting the High Cardinality flag for a characteristic. A characteristic with high cardinality cannot be used as a navigation attribute for another characteristic, and therefore it cannot have navigation attributes itself12.
* C. SID numbers are created at runtime which might negatively affect the reporting performance: This is a disadvantage of setting the High Cardinality flag for a characteristic. A characteristic with high cardinality has no persistent SID values and no SID table, which means that the SID numbers are generated on the fly during query execution. This can have a negative impact on the reporting performance, especially if the characteristic is used in filters or aggregations13.
Reference:
* 1 https://help.sap.com/docs/SAP_BW4HANA/107a6e8a38b74ede94c833ca3b7b6f51/f851415842154e59a5f038e458b97a0b.html
* 2 https://help.sap.com/docs/SAP_BW4HANA/107a6e8a38b74ede94c833ca3b7b6f51/88a51330c046426091f3730d0c42c0de.html
* 3 https://blogs.sap.com/2019/01/14/high-cardinality-characteristics-in-bw4hana/
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NEW QUESTION # 81
With SAP BW/4HANA, the new HANA-optimized business content is designed according to the LSA++ framework. Which tecnical namespace is assigned to identify the new SAP ERP-related business content?
- A. /BW4/
- B. /0SAP/
- C. /SFA/
- D. /IMO/
Answer: D
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NEW QUESTION # 82
A user has the analysis authorization for the Controlling Areas 1000 2000.
In the InfoProvider there are records for Controlling Areas 1000 2000 3000 4000. The user starts a data preview on the InfoProvider.
Which data will be displayed?
- A. No data for any of the Controlling Areas
- B. Only the aggregated total of all Controlling Areas
- C. Data for Controlling Areas 1000 2000
- D. Data for Controlling Areas 1000 2000 the aggregated total of 3000 4000
Answer: C
Explanation:
* Analysis Authorization in SAP BW/4HANA: Analysis authorizations are used to restrict data access for users based on specific criteria, such as organizational units (e.g., Controlling Areas). These authorizations ensure that users can only view data they are authorized to access.
* InfoProvider: An InfoProvider is a data storage object in SAP BW/4HANA that holds data for reporting and analysis. When a user performs a data preview on an InfoProvider, the system applies the user's analysis authorizations to filter the data accordingly.
* Data Preview Behavior: During a data preview, the system evaluates the user's analysis authorizations and displays only the data that matches the authorized values. Unauthorized data is excluded from the result set.
* The user has analysis authorization forControlling Areas 1000 and 2000.
* The InfoProvider contains records forControlling Areas 1000, 2000, 3000, and 4000.
* When the user starts a data preview on the InfoProvider:
* The system applies the user's analysis authorization.
* Only data for the authorized Controlling Areas (1000 and 2000) will be displayed.
* Data for unauthorized Controlling Areas (3000 and 4000) will be excluded from the result set.
* B. No data for any of the Controlling Areas:This would only occur if the user had no valid analysis authorization or if there were no matching records in the InfoProvider. However, since the user is authorized for Controlling Areas 1000 and 2000, data for these areas will be displayed.Incorrect.
* C. Only the aggregated total of all Controlling Areas:Aggregation across all Controlling Areas would violate the principle of analysis authorization, which restricts data access to authorized values.
Unauthorized data (3000 and 4000) cannot contribute to the aggregated total.Incorrect.
* D. Data for Controlling Areas 1000 2000 the aggregated total of 3000 4000:Unauthorized data (3000 and 4000) cannot be included in any form, even as part of an aggregated total. The system strictly excludes unauthorized data from the result set.Incorrect.
Key Concepts:Scenario Analysis:Why Other Options Are Incorrect:Why Option A Is Correct:The system applies the user's analysis authorization and filters the data accordingly. Since the user is authorized for Controlling Areas 1000 and 2000, only data for these areas will be displayed during the data preview.
* SAP BW/4HANA Security Guide: The official guide explains how analysis authorizations work and their impact on data visibility in queries and data previews.
* SAP Note on Analysis Authorizations: Notes such as 2508998 provide detailed guidance on configuring and troubleshooting analysis authorizations.
* SAP Best Practices for Data Security: These guidelines emphasize the importance of restricting data access based on user roles and authorizations.
References:By leveraging analysis authorizations, organizations can ensure that users only access data they are authorized to view, maintaining compliance and data security.
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NEW QUESTION # 83
Which SAP solutions can leverage the Write Interface for DataStore objects (advanced) to push data into the inbound table of DataStore objects (advanced)? Note: There are 2 correct answers to this question.
- A. SAP Data Services
- B. SAP Process Integration
- C. SAP Datasphere
- D. SAP Lscape Transformation Replication Server
Answer: A,D
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NEW QUESTION # 84
You created an Open ODS view of type Facts. Which object type can you associate with a view field in the characteristics folder? Note: There are 2 correct answers to this question.
- A. Calculation View of type Dimension
- B. InfoObjetc of type Characteristic
- C. Open ODS view of type Facts
- D. Open ODS view of type Master Data
Answer: B,D
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NEW QUESTION # 85
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