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SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q68-Q73):

NEW QUESTION # 68
You defined a condition in a BW query for the top 10 of 100 customers based on sales revenue.
Using key figure properties in the BW query which two scenarios regarding result presentation can be achieved? Note: There are 2 correct answers to this question.

A. One result row with the sales revenue sum of the top 10 customers a second result row with the sales revenue sum of all 100 customers
B. One result row with the sales revenue sum of the top 10 customers
C. One result row with the sales revenue sum of the top 10 customers a second result row with the sales revenue sum of the other 90 customers
D. One result row with the sales revenue sum of all 100 customers

Answer: B,C

Explanation:
* Key Figure Properties in Query:
* Key figure properties enable flexible aggregation and presentation of data in BW queries.
* They allow splitting or consolidating result rows based on specific conditions or properties.
* Scenario Explanation:
* Answer C:A single result row showing the aggregated sales revenue for the top 10 customers.
* Answer D:Two separate result rows: one for the top 10 customers' revenue and another for the remaining 90 customers.
References:
* SAP BW Query Design Documentation
* SAP Learning Hub - Conditional Reporting Techniques in BW Queries

NEW QUESTION # 69
Which options do you have to combine data from SAP BW bridge a customer space in SAP Datasphere core? Note: There are 2 correct answers to this question.

A. * Import SAP BW bridge objects to the customer space.
* Create additional views in the customer space to combine data.
B. * Import objects from the customer space to the SAP BW bridge space.
* Create additional views in the SAP BW bridge space to combine data.
C. * Import SAP BW bridge objects to the SAP BW bridge space.
* Create additional views in the customer space.
* Share the created views with the SAP BW bridge space to combine data.
D. * Import SAP BW bridge objects to the SAP BW bridge space.
* Share the generated remote tables with the customer space.
* Create additional views in the customer space to combine data.

Answer: A,D

NEW QUESTION # 70
Which request-based deletion is possible in a DataMart DataStore object?

A. Only the most recent non-activated request in the inbound table
B. Any non-activated request in the inbound table
C. Any request in the active data table
D. Only the most recent request in the active data table

Answer: A

Explanation:
* Deletion is restricted to the most recent non-activated request in the inbound table to maintain data integrity and avoid accidental deletion of active data.
References:SAP BW/4HANA DataStore Object Advanced documentation (SAP Help Portal - DataStore Objects).

NEW QUESTION # 71
What are some of the variable types in a BW query that can use the processing type SAP HANA Exit? Note:
There are 2 correct answers to this question.

A. Text
B. Hierarchy node
C. Characteristic value
D. Formula

Answer: B,C

Explanation:
In SAP BW (Business Warehouse) queries, variables are placeholders that allow dynamic input for filtering or calculations at runtime. The processing type "SAP HANA Exit" is a specific variable processing option that leverages SAP HANA's in-memory capabilities to enhance query performance by pushing down the variable processing logic to the database layer. This ensures faster execution and optimized resource utilization.
* Hierarchy Node (Option A)
* Hierarchy nodes are used in BW queries to represent hierarchical structures (e.g., organizational hierarchies, product hierarchies).
* When using the SAP HANA Exit processing type, the hierarchy node variable can be processed directly in the SAP HANA database. This allows for efficient handling of hierarchical data and improves query performance by leveraging HANA's advanced processing capabilities.
* Characteristic Value (Option D)
* Characteristic values are attributes associated with master data (e.g., customer IDs, product codes).
* By using the SAP HANA Exit processing type, characteristic value variables can be resolved directly in the HANA database. This eliminates the need for additional processing in the application layer, resulting in faster query execution.
* Formula (Option B):Formula variables are used to calculate values dynamically based on predefined formulas. These variables are typically processed in the application layer and cannot leverage the SAP HANA Exit processing type.
* Text (Option C):Text variables are used to filter or display descriptive text associated with master data.
Like formula variables, text variables are processed in the application layer and do not support the SAP HANA Exit processing type.
* SAP BW/4HANA Query Design Guide:This guide explains how variables are processed in BW queries and highlights the benefits of using SAP HANA Exit for certain variable types.
* Link:SAP BW/4HANA Documentation
* SAP HANA Optimization Techniques:SAP HANA Exit is part of the broader optimization techniques recommended for SAP BW/4HANA implementations. It aligns with the Data Fabric concept of integrating and optimizing data across various layers.

NEW QUESTION # 72
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 aggregate measures as a sum.
B. You can create restricted columns.
C. You can combine master data transactional data.
D. You can persist transactional data.
E. You can provide default time characteristics.

Answer: A,C,D

Explanation:
* Cube with Star Join Data Category:
* Used for combining and analyzing transactional and master data with enhanced reporting capabilities.
* Key Advantages:
* Combine Data (Answer A):Combines master and transactional data in a star schema.
* Persist Data (Answer B):Supports the persistence of transactional data.
* Aggregate Measures (Answer E):Enables aggregations like summing measures for analytical reporting.
* Default Time Characteristics (Option C):Not specifically tied to the Cube with Star Join.
* Restricted Columns (Option D):Restricted columns can be created in other data categories as well.
Incorrect Options:References:
* SAP HANA HDI Calculation View Documentation

NEW QUESTION # 73
......

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SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q68-Q73):

New C-BW4H-2404 Test Experience | Efficient C-BW4H-2404: SAP Certified Associate - Data Engineer - Data Fabric