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SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q29-Q34):

NEW QUESTION # 29
How can the delta merge process be initiated in SAP BW/4HANA? Note: There are 2 correct answers to this question.

A. By using a specific process type in a process chain
B. By setting a specific flag in the transformation
C. By setting a specific flag in the data transfer process
D. By using the SAP BW/4HANA data load monitor.

Answer: A

Explanation:
The delta merge process is used to transfer data modifications from the delta storage to the main storage in SAP HANA database.
It can be initiated in SAP BW/4HANA in the following ways:
* By using a specific process type in a process chain, called Trigger for DB Merge. This process type can be added to a process chain and linked to the loading processes that require a delta merge. The process type allows specifying the object type and name for the delta merge.
* By using the SAP BW/4HANA data load monitor, which is a web-based tool for monitoring and managing data loads. The data load monitor has an option to trigger a database merge for an object after a successful data load.

NEW QUESTION # 30
You create a transformation from a DataSource to a DataMart Data Store object (advanced) All key figures are updated as Sum. Which Delta methods indicate that the DataSource provides consistent information for this target? Note: There are 2 correct answers to this question.

A. AIM
B. ABR
C. AIE
D. ADD

Answer: C,D

Explanation:
* B. ADD: This delta method indicates that the DataSource provides consistent information for this target. It means that the DataSource delivers additive delta records with after images, which are updated directly in the delta queue. This can support sum aggregation for key figures12.
* D. AIE: This delta method indicates that the DataSource provides consistent information for this target. It means that the DataSource delivers additive delta records with after images, which are updated in the extraction queue and then transferred to the delta queue. This can support sum aggregation for key figures13.
Reference:
* 1 https://wiki.scn.sap.com/wiki/display/BI/Delta+type+in+BW+Extractors
* 2 https://help.sap.com/doc/saphelp_nw73ehp1/7.31.19/en-US/4f/18f6aa3fca410ae10000000a42189d/content.htm
* 3 https://help.sap.com/doc/saphelp_nw73ehp1/7.31.19/en-US/4f/18f6b13fca410ae10000000a42189d/content.htm

NEW QUESTION # 31
In SAP Web IDE for SAP HANA you have imported a project including an HDB module with calculation views. What do you need to do in the project settings before you can successfully build the HDB module?

A. Change the schema name
B. Define a package.
C. Generate the HDI container.
D. Assign a space.

Answer: D

NEW QUESTION # 32
You need to derive an architecture overview model from a key figure matrix. Which is the first step you need to take?

A. Identify transformations.
B. Define data marts.
C. Identify sources.
D. Analyze storage requirements.

Answer: C

Explanation:
Deriving anarchitecture overview modelfrom a key figure matrix is a critical step in designing an SAP BW
/4HANA solution. The first step in this process is toidentify the sourcesof the data that will populate the key figures. Understanding the data sources ensures that the architecture is built on a solid foundation and can meet the reporting and analytical requirements.
* Identify sources (Option B):Before designing the architecture, it is essential to determine where the data for the key figures originates. This includes identifying:
* Source systems:ERP systems, external databases, flat files, etc.
* Data types:Transactional data, master data, metadata, etc.
* Data quality:Ensuring the sources provide accurate and consistent data.
* Identifying sources helps define the data extraction, transformation, and loading (ETL) processes required to populate the key figures in the architecture.
* Identify transformations (Option A):Transformations are applied to the data after it has been extracted from the sources. While transformations are an important part of the architecture, they cannot be defined until the sources are identified.
* Analyze storage requirements (Option C):Storage requirements depend on the volume and type of data being processed. However, these requirements can only be determined after the sources and data flows are understood.
* Define data marts (Option D):Data marts are designed to serve specific reporting or analytical purposes.
Defining data marts is a later step in the architecture design process and requires a clear understanding of the sources and transformations.
* Identify sources:Determine the origin of the data.
* Map data flows:Define how data moves from the sources to the target system.
* Apply transformations:Specify the logic for cleansing, enriching, and aggregating the data.
* Design storage layers:Decide how the data will be stored (e.g., ADSOs, InfoCubes).
* Define data marts:Create specialized structures for reporting and analytics.
* Source Identification:Identifying sources is the foundation of any data architecture. Without knowing where the data comes from, it is impossible to design an effective ETL process or storage model.
* Key Figure Matrix:A key figure matrix provides a high-level view of the metrics and dimensions required for reporting. It serves as a starting point for designing the architecture.
* SAP BW/4HANA Modeling Guide:This guide explains the steps involved in designing an architecture, including source identification and data flow mapping.
* Link:SAP BW/4HANA Documentation
* SAP Note 2700980 - Best Practices for Architecture Design in SAP BW/4HANA:This note provides recommendations for designing scalable and efficient architectures in SAP BW/4HANA.
Why Other Options Are Incorrect:Steps to Derive an Architecture Overview Model:Key Points About Architecture Design:References to SAP Data Engineer - Data Fabric:By starting withsource identification, you ensure that the architecture overview model is grounded in the actual data landscape, enabling a robust and effective solution design.

NEW QUESTION # 33
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. Characteristic value
B. Formula
C. Text
D. Hierarchy node

Answer: A,D

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 # 34
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