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SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q34-Q39):

NEW QUESTION # 34
Which type of data builder object can be used to fetch delta data from a remote table located in the SAP BW bridge space?

A. Entity relationship model
B. Replication Flow
C. Transformation Flow
D. Data Flow

Answer: B

Explanation:
* A Replication Flow is used to fetch delta data from a remote table located in the SAP BW bridge space.
It enables real-time or scheduled replication of data between the source and target systems.
References:SAP Datasphere Replication Flow documentation (SAP Help Portal).

NEW QUESTION # 35
Which modeling decisions may have side effects on runtime performance?Note: There are 3 correct answers to this question.

A. Move a characteristic within a DataMart DataStore object to a different group.
B. Use a transitive attribute instead of an attribute that is directly assigned to a characteristic.
C. Uncheck the "Write change log" property for a Stard DataStore Object.
D. Include a characteristic from the underlying DataMart DataStore Object in the CompositeProvider instead of a navigation attribute.
E. Change a time-independent attribute of a characteristic to a time-dependent attribute.

Answer: B,C,D

Explanation:
* Transitive Attribute (Answer A):
* Using transitive attributes introduces additional joins in queries, increasing complexity and affecting performance.
* Disabling Change Log (Answer B):
* Unchecking the change log property can improve load performance but risks losing data change tracking, which may affect downstream reporting.
* Include Characteristics Directly (Answer E):
* Including a characteristic from the underlying DataMart DataStore object reduces runtime overhead compared to navigating attributes indirectly.
* Move Characteristics (Option C):Moving characteristics within a DataStore object has minimal impact on performance.
* Time-Dependent Attribute (Option D):Changing attributes to time-dependent adds metadata but does not significantly affect runtime performance.
Incorrect Options:References:
* SAP BW/4HANA Performance Optimization Guide

NEW QUESTION # 36
What foundation is necessary to use SAP S/4HANA embedded analytics?

A. ABAP CDS view based virtual data model.
B. SAP HANA optimized business content
C. Generated external SAP HANA Calculation Views
D. SAP Agile Data Preparation

Answer: A

Explanation:
SAP S/4HANA embedded analytics uses ABAP CDS view based virtual data model to provide real-time access to the transactional data without data replication. It is a collection of SAP Fiori tiles that enable real-time operational reporting. SAP S/4HANA embedded analytics comes with a lot of predefined analytical apps based on Fiori and on SAP Analytics Cloud for various functional areas. The main user types addressed by SAP S/4HANA embedded analytics are business users and analytics specialists.

NEW QUESTION # 37
What are prerequisites for S-API Extractors to load data directly into SAP Datasphere core tenant using delta mode? Note: There are 2 correct answers to this question.

A. A primary key needs to exist.
B. Extractor must be based on a function module
C. Real-time access needs to be enabled
D. Operational Data Provisioning (ODP) must be enabled

Answer: A,D

Explanation:
To load data directly into SAP Datasphere (formerly known as SAP Data Warehouse Cloud) core tenant using delta mode via S-API Extractors, certain prerequisites must be met. Let's evaluate each option:
* Option A: Real-time access needs to be enabled.Real-time access is not a prerequisite for delta mode loading. Delta mode focuses on incremental data extraction and loading, which does not necessarily require real-time capabilities. Real-time access is more relevant for scenarios where immediate data availability is critical.
* Option B: A primary key needs to exist.A primary key is essential for delta mode loading because it uniquely identifies records in the source system. Without a primary key, the system cannot determine which records have changed or been added since the last extraction, making delta processing impossible.
* Option C: Extractor must be based on a function module.While many S-API Extractors are based on function modules, this is not a strict requirement for delta mode loading. Extractors can also be based on other mechanisms, such as views or tables, as long as they support delta extraction.
* Option D: Operational Data Provisioning (ODP) must be enabled.ODP is a critical prerequisite for delta mode loading. It provides the infrastructure for managing and extracting data incrementally from SAP source systems. Without ODP, the system cannot track changes or deltas effectively, making delta mode loading infeasible.
* SAP Datasphere Documentation: Outlines the prerequisites for integrating data from SAP source systems using delta mode.
* SAP Help Portal: Provides detailed information on S-API Extractors and their requirements for delta processing.
* SAP Best Practices for Data Integration: Highlights the importance of primary keys and ODP in enabling efficient delta extraction.
References:In conclusion, the two prerequisites for S-API Extractors to load data into SAP Datasphere core tenant using delta mode are the existence of aprimary keyand the enabling ofOperational Data Provisioning (ODP).

NEW QUESTION # 38
In a BW query with cells you need to overwrite the initial definition of a cell.
Which cell types can you use? Note: There are 2 correct answers to this question.

A. Selection cell
B. Help cell
C. Formula cell
D. Reference cell

Answer: A,C

NEW QUESTION # 39
......

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Pass Guaranteed SAP - C_BW4H_2404 - Updated Test SAP Certified Associate - Data Engineer - Data Fabric Study Guide

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SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q34-Q39):

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