NEW C_BW4H_2404 DUMPS PPT | C_BW4H_2404 PAPER

New C_BW4H_2404 Dumps Ppt | C_BW4H_2404 Paper

New C_BW4H_2404 Dumps Ppt | C_BW4H_2404 Paper

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SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q25-Q30):

NEW QUESTION # 25
You want to combine an existing SAP BW/4HANA Data Model with virtual data from a new non-SAP source system for test purposes.
Which approach should you consider for rapid prototyping?

  • A. Business content activation
  • B. Generate Data Flow
  • C. InfoObject base modeling
  • D. Field-based modeling

Answer: D


NEW QUESTION # 26
Which join types can you use in a Composite Provider? Note: There are 3 correct answers to this question.

  • A. Text join
  • B. Referential join
  • C. Inner join
  • D. Temporal hierarchy join
  • E. Full Outer join

Answer: B,C,E

Explanation:
C. Full Outer Join:
* Combines data from both sources, including unmatched rows from either side.
D. Referential Join:
* Optimized join that assumes data consistency between the sources for faster query performance.
E. Inner Join:
* Only combines rows with matching keys in both sources, commonly used for exact matches.
References:SAP BW/4HANA Composite Provider documentation (SAP Help Portal).


NEW QUESTION # 27
What is the maximum number of reference characteristics that can be used for one key figure with a multi-dimensional exception aggregation in a BW query?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: B


NEW QUESTION # 28
Which join types can you use in a Composite Provider? Note: There are 3 correct answers to this question.

  • A. Referential join
  • B. Full Outer join
  • C. Text join
  • D. Inner join
  • E. Temporal hierarchy join

Answer: A,C,D

Explanation:
In SAP Data Engineer - Data Fabric, specifically within the context of Composite Providers in SAP BW
/4HANA, there are specific types of joins that can be utilized to combine data from different sources effectively. Let's break down each join type mentioned in the question:
* Text Join (A):A text join is used when you need to include descriptive texts (like descriptions for codes) in your query results. This join type connects a primary table with a text table based on language- specific attributes. It ensures that textual information is appropriately linked and displayed alongside the main data. This is particularly useful in scenarios where reports or queries require human-readable descriptions.
* Temporal Hierarchy Join (B):Temporal hierarchy joins are not supported in Composite Providers.
These types of joins are typically used in other contexts within SAP systems, such as when dealing with time-dependent hierarchies in Advanced DataStore Objects (ADSOs) or other temporal data models.
However, they do not apply to Composite Providers.
* Full Outer Join (C):Full outer joins are not available in Composite Providers. Composite Providers primarily support inner joins, referential joins, and text joins. The full outer join, which includes all records when there is a match in either left or right table, is not part of the join options within this specific context.
* Referential Join (D):Referential joins are optimized joins that assume referential integrity between the tables involved. This means that the system expects all relevant entries in one table to have corresponding entries in the other. If this condition is met, referential joins can significantly improve query performance by reducing the amount of data processed. They are commonly used in Composite Providers to efficiently combine data while maintaining performance.
* Inner Join (E):Inner joins are fundamental join types used in Composite Providers. They return only the records that have matching values in both tables being joined. This is one of the most frequently used join types due to its straightforward nature and effectiveness in combining related datasets.
* SAP BW/4HANA Documentation: The official documentation outlines the capabilities and limitations of Composite Providers, including the types of joins supported.
* SAP Help Portal: Provides detailed explanations and examples of how different join types function within SAP BW/4HANA environments.
* SAP Community Blogs & Forums: Discussions and expert insights often highlight practical use cases and best practices for implementing various join types in Composite Providers.
References:By understanding these join types and their applications, data engineers can design efficient and effective data models within the SAP Data Engineer - Data Fabric framework, ensuring optimal performance and accurate data representation.


NEW QUESTION # 29
Which objects values can be affected by the key date in a BW query? Note: There are 3 correct answers to this question.

  • A. Navigation attributes
  • B. Time characteristics
  • C. Hierarchies
  • D. Basic key figures
  • E. Display attributes

Answer: B,C,E

Explanation:
In SAP BW (Business Warehouse), the key date is a critical parameter used in queries to determine the validity of data based on time-dependent objects. The key date allows users to retrieve data as it was valid on a specific date, which is particularly important for time-dependent master data and hierarchies. Below is a detailed explanation of how the key date affects different types of objects in a BW query:
* Explanation: Display attributes are additional descriptive fields associated with characteristics in SAP BW. These attributes can be time-dependent, meaning their values may change over time. When a key date is specified in a BW query, the system retrieves the value of the display attribute that was valid on that specific date.


NEW QUESTION # 30
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