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SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q18-Q23):

NEW QUESTION # 18
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 DataStore object (advanced) for current data by an Open ODS view that accesses the current data directly from the source system.
B. Use a join node instead of the Union node in the upper-level CompositeProvider.
C. Replace the lower-level CompositeProvider with a new DataStore object (advanced) fill it with the same combination of historic data.
D. Use the "Generate Dataflow" feature for the Open ODS views load the historic data to the new generated DataStore objects (advanced).

Answer: A,B

NEW QUESTION # 19
"What are benefits of separating master data from transactional data in SAP BW/4HANA? Note: There are 3 correct answer to this question."

A. Allowing different data load frequency
B. Ensuring referential integrity on your transactional data
C. Avoiding generation of SID values.
D. Reducing the number of data transfer processes
E. Providing language dependent master data texts.

Answer: A,B,E

Explanation:
Separating master data from transactional data in SAP BW/4HANA has the following benefits:
It allows different data load frequency for master data and transactional data, which can improve the performance and flexibility of data loading processes. For example, master data can be loaded daily or weekly, while transactional data can be loaded hourly or near real-time.
It ensures referential integrity on your transactional data by using SID values that link the transactional data to the master data. This way, the transactional data can be consistent and accurate across different InfoProviders and queries.
It provides language dependent master data texts that can be displayed in different languages according to the user's preference. This way, the master data can be more user-friendly and understandable for different audiences.

NEW QUESTION # 20
For InfoObject "ADDRESS" the High Cardinality flag has been set. However "ADDRESS" has an attribute
"CITY" without the High Cardinality flag. What is the effect on SID values in this scenario?

A. SID values are generated when InfoObject "ADDRESS" is activated.
B. SID values are generated when InfoObject "CITY" is activated.
C. SID values are generated when data for InfoObject "ADDRESS" is loaded.
D. SID values are not stored for InfoObject "ADDRESS".

Answer: D

NEW QUESTION # 21
Which options do you have when using the remote table feature in SAP Datasphere? Note: There are 3 correct answers to this question.

A. Data can be accessed virtually by remote access to the source system.
B. Data can be loaded using advanced transformation capabilities.
C. Data access can be switched from virtual to persisted but not the other way around.
D. Data can be persisted in SAP Datasphere by creating a snapshot (copy of data).
E. Data can be persisted by using real-time replication.

Answer: A,D,E

Explanation:
* Snapshot Creation (Answer A):
* A snapshot creates a static copy of the data in Datasphere, useful for data archiving or point-in- time analysis.
* Real-Time Replication (Answer B):
* Enables continuous synchronization of data between the source system and Datasphere for up-to- date analytics.
* Virtual Access (Answer D):
* Remote tables allow virtual access to source data without moving it to Datasphere, ensuring real- time data availability.
* Advanced Transformations (Option C):Transformations are not directly supported in the remote table feature.
* Switching Persistence Modes (Option E):Virtual access and persistence modes can typically be alternated.
Incorrect Options:References:
* SAP Datasphere Remote Table Capabilities Documentation

NEW QUESTION # 22
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. Persist transactional data
B. Create restricted columns
C. Combine master data and transactional data
D. Provide default time characteristics
E. Aggregate measures as a sum

Answer: A,C,E

NEW QUESTION # 23
......

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C_BW4H_2404 Quiz Torrent: SAP Certified Associate - Data Engineer - Data Fabric - C_BW4H_2404 Exam Guide & C_BW4H_2404 Test Braindumps

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SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q18-Q23):

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