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SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q67-Q72):

NEW QUESTION # 67
An upper-level CompositeProvider compares current values with historic values based on a union operation.
The current values are provided by a DataStore object (advanced) that is updated daily. Historic values are provided by a lower-level CompositeProvider that combines different open ODS views from DataSources.
What can you do to improve the performance of the BW queries that use the upper-level CompositeProvider?
Note: There are 2 correct answers to this question.

A. Replace the lower-level CompositeProvider with a new DataStore object (advanced) fill it with the same combination of historic data.
B. Use a join node instead of the Union node in the upper-level CompositeProvider.
C. Use the "Generate Dataflow" feature for the Open ODS views load the historic data to the new generated DataStore objects (advanced).
D. Replace the DataStore object (advanced) for current data by an Open ODS view that accesses the current data directly from the source system.

Answer: A,C

Explanation:
* Replace Lower-Level CompositeProvider (Answer A):
* Using a DataStore object (advanced) for historical data improves performance by enabling optimized data storage, indexing, and query execution compared to a CompositeProvider.
* Generate Dataflow for Historic Data (Answer D):
* The "Generate Dataflow" feature allows you to extract data from Open ODS views and load it into new advanced DataStore objects, improving performance by reducing dependency on dynamic query processing.
* Join Node Instead of Union (Option B):Joins are not suitable for comparing current and historic values.
* Open ODS for Current Data (Option C):Open ODS views for current data may introduce latency and lack indexing optimizations.
Incorrect Options:References:
* SAP BW/4HANA Modeling Guide
* SAP Help Portal - Performance Optimization Techniques

NEW QUESTION # 68
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 Lscape Transformation Replication Server
B. SAP Data Services
C. SAP Process Integration
D. SAP Datasphere

Answer: A,B

NEW QUESTION # 69
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. Temporal hierarchy join
D. Text join
E. Inner join

Answer: A,D,E

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 # 70
You create a Data Store object (advanced) using the "Data Mart DataStore Object" modeling property. Which behaviors are specific to this modeling property? Note: There are 2 correct answers to this question.

A. The records are treated as if all characteristics are in the key.
B. The change log table will be filled only after data activation.
C. Reporting is done based on a union of the inbound active tables.
D. Query results are shown only when data has been activated.

Answer: C,D

Explanation:
When creating aData Store object (advanced)in SAP BW/4HANA, selecting the"Data Mart DataStore Object" modeling property defines specific behaviors tailored for reporting and analytics. This type of DataStore object is optimized for use as a data mart, meaning it is designed to store aggregated or cleansed data that is ready for consumption by reporting tools.
* Query Results Are Shown Only When Data Has Been Activated (B):In aData Mart DataStore Object, data must be explicitly activated before it becomes available for reporting. This ensures that only consistent and validated data is exposed to end users. During the activation process:
* Data is moved from the inbound table to the active table.
* Any errors or inconsistencies are resolved before the data is made available for querying.
* Queries executed against the DataStore object will only display results from the active table, ensuring reliable and accurate reporting.
* Reporting Is Done Based on a Union of the Inbound Active Tables (C):AData Mart DataStore Objectsupports multiple inbound tables, which can be used to store data from different sources or partitions. For reporting purposes, the system performs aunionof these inbound active tables to provide a consolidated view of the data. This behavior is particularly useful when integrating data from multiple sources into a single reporting layer.
Behaviors Specific to the "Data Mart DataStore Object" Modeling Property:
* A. The Change Log Table Will Be Filled Only After Data Activation:This statement is incorrect because thechange log tableis not a feature of theData Mart DataStore Object. Change logs are typically associated withStaging and Reporting DataStore Objects (Stard)or other types of DataStore objects that track detailed changes. In contrast, a Data Mart DataStore Object focuses on providing aggregated and cleansed data for reporting, without maintaining a detailed change history.
* D. The Records Are Treated as If All Characteristics Are in the Key:This statement is also incorrect. In aData Mart DataStore Object, records are not treated as if all characteristics are part of the key. Instead, the key structure is explicitly defined during the modeling process, and only the specified key fields are used to identify unique records. Treating all characteristics as part of the key is a behavior associated with other types of DataStore objects, such as those used for staging or operational reporting.
Incorrect Options:
SAP Data Engineer - Data Fabric Context:In the context ofSAP Data Engineer - Data Fabric, understanding the behavior of different DataStore object types is essential for designing efficient and scalable data models. TheData Mart DataStore Objectis specifically designed for reporting and analytics, making it a key component of the data fabric architecture. By ensuring that query results are only shown after activation and leveraging a union of inbound active tables, this modeling property supports reliable and consistent reporting across the organization.
For further details, refer to:
* SAP BW/4HANA Data Modeling Guide: Explains the differences between DataStore object types and their specific behaviors.
* SAP Learning Hub: Offers training on designing and implementing DataStore objects in SAP BW
/4HANA.
By selectingB (Query results are shown only when data has been activated)andC (Reporting is done based on a union of the inbound active tables), you ensure that the correct behaviors specific to the "Data Mart DataStore Object" modeling property are identified.

NEW QUESTION # 71
What are the prerequisites for deleting master data (for example, cost centers) in SAP BW/4HANA? Note: There are 2 correct answers to this question.

A. There must be no BW analysis authorizations defined thta use any of the cost centers
B. There must be no transaction data referring to the cost centers
C. There must be no BW query that uses cost cenetr as a free characteristics.
D. There must be no hierarchy for the cost centers

Answer: B,D

NEW QUESTION # 72
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C_BW4H_2404 Discount - C_BW4H_2404 Reliable Mock Test

C_BW4H_2404 Discount - High Pass-Rate SAP C_BW4H_2404 Reliable Mock Test: SAP Certified Associate - Data Engineer - Data Fabric

SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q67-Q72):

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