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SAP C_BW4H_2505 認定試験の出題範囲：

トピック	出題範囲
トピック 1	InfoObjectsとInfoProviders：このセクションでは、SAP BW 4HANAにおけるInfoObjectsとInfoProvidersの操作に関するデータエンジニアの知識をテストします。分析データの整理、保存、アクセスに使用されるデータ構造の取り扱いについて学びます。
トピック 2	SAP BW 4HANAへのデータ取得：このセクションでは、データエンジニアが複数のソースからSAP BW 4HANAへのデータ統合をどのように管理するかをテストします。データの抽出、変換、そしてSAP環境へのロードに使用されるツールとプロセスに関する基本的な知識を網羅します。
トピック 3	SAP BW クエリ設計：このセクションでは、データエンジニアがSAP BW 4HANAを使用してクエリを作成および実行する能力を評価します。受験者がクエリコンポーネントを操作して、レポート作成や分析のためにデータを効果的に取得および構造化できる能力を評価します。
トピック 4	SAP BW 4HANAプロジェクトとモデリングプロセス：このセクションでは、データエンジニアがSAP BW 4HANAプロジェクトをどのように導き、貢献するかを評価します。モデリングワークフロー、プロジェクトライフサイクルの各段階、プロジェクトチーム内のコラボレーション戦略に関する知識が含まれます。
トピック 5	基礎：このセクションでは、SAPコンサルタントの基礎的な理解度を測定し、SAP BW 4HANAおよびSAP Business Data Cloudに関連する重要な用語と概念を網羅します。これらのプラットフォームを操作・操作するために必要なコアフレームワークとアーキテクチャに重点を置いています。
トピック 6	ネイティブSAP HANAモデリング：このセクションでは、SAPコンサルタントがSAP HANAのネイティブモデリングオプションを記述および適用する能力を評価します。特に、HANAプラットフォーム内で直接最適化されたデータ構造を構築する方法の理解を重視します。
トピック 7	SAP BW 4HANAモデリング：このセクションでは、データエンジニアが適切なモデリングオプションを選択し、LSA++などのベストプラクティスをSAP BW 4HANAに適用するスキルを習得します。特に、スケーラブルで高性能なデータモデルの設計に重点を置いています。
トピック 8	SAP BW 4HANA データフロー：このセクションでは、SAPコンサルタントがSAP BW 4HANA環境内でデータをロードする実践的な能力を評価します。システムの異なるレイヤーにまたがるデータの移動および変換プロセスに関する知識を評価します。

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C_BW4H_2505日本語版参考資料、C_BW4H_2505専門知識内容試験に合格することは、SAP試験問題と試験スキルの知識に基づいています。 C_BW4H_2505トレーニングクイズには、目的を同時に達成できる豊富なコンテンツがあります。 レビューでは、高効率のSAP Certified Associate - Data Engineer - SAP BW/4HANA実践教材が重要な役割を果たすことがわかっています。 弊社の専門家も最新のコンテンツを収集し、試験のトレンドがどこに向かっているのか、実際にSAP Certified Associate - Data Engineer - SAP BW/4HANA試験したいものを調査しています。 シラバスと新しいトレンドを分析することで、C_BW4H_2505練習エンジンは、参考のためにこの試験に完全に一致しています。 したがって、Tech4Examこの機会に取り組んでください。私たちの練習資料はあなたを失望させません。
SAP Certified Associate - Data Engineer - SAP BW/4HANA 認定 C_BW4H_2505 試験問題 (Q28-Q33):質問 # 28
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. Define a package.
• B. Assign a space.
• C. Change the schema name
• D. Generate the HDI container.
  

正解：D
解説：
In SAP Web IDE for SAP HANA, when working with an HDB module that includes calculation views, certain configurations must be completed in the project settings to ensure a successful build. Below is an explanation of the correct answer and why the other options are incorrect.
B). Generate the HDI containerTheHDI (HANA Deployment Infrastructure)container is a critical component for deploying and managing database artifacts (e.g., tables, views, procedures) in SAP HANA. It acts as an isolated environment where the database objects are deployed and executed. Before building an HDB module, you must generate the HDI container to ensure that the necessary runtime environment is available for deploying the calculation views and other database artifacts.
* Steps to Generate the HDI Container:
* In SAP Web IDE for SAP HANA, navigate to the project settings.
* Under the "SAP HANA Database Module" section, configure the HDI container by specifying the required details (e.g., container name, schema).
* Save the settings and deploy the container.
* The SAP HANA Developer Guide explicitly states that generating the HDI container is a prerequisite for building and deploying HDB modules. This process ensures that the artifacts are correctly deployed to the SAP HANA database.
Incorrect OptionsA. Define a packageDefining a package is not a requirement for building an HDB module.
Packages are typically used in SAP BW/4HANA or ABAP environments to organize development objects, but they are not relevant in the context of SAP Web IDE for SAP HANA or HDB modules.
Reference: The SAP Web IDE for SAP HANA documentation does not mention packages as part of the project settings for HDB modules.
C). Assign a spaceAssigning a space is related to Cloud Foundry environments, where spaces are used to organize applications and services within an organization. While spaces are important for deploying applications in SAP Business Technology Platform (BTP), they are not directly related to building HDB modules in SAP Web IDE for SAP HANA.
Reference: The SAP BTP documentation discusses spaces in the context of application deployment, but this concept is not applicable to HDB module builds.
D). Change the schema nameChanging the schema name is not a mandatory step before building an HDB module. The schema name is typically defined during the configuration of the HDI container or inherited from the default settings. Unless there is a specific requirement to use a custom schema, changing the schema name is unnecessary.
Reference: The SAP HANA Developer Guide confirms that schema management is handled automatically by the HDI container unless explicitly customized.
ConclusionThe correct action required before successfully building an HDB module in SAP Web IDE for SAP HANA is:Generate the HDI container.
This step ensures that the necessary runtime environment is available for deploying and executing the calculation views and other database artifacts. By following this process, developers can seamlessly integrate their HDB modules with the SAP HANA database and leverage its advanced capabilities for data modeling and analytics.

質問 # 29
Which request-based deletion is possible in a DataMart DataStore object?

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

正解：B
解説：
In SAP BW/4HANA, aDataMart DataStore Object (DSO)is used to store detailed data for reporting and analysis. Request-based deletion allows you to remove specific data requests from the DSO. However, there are restrictions on which requests can be deleted, depending on whether they are in the inbound table or the active data table. Below is an explanation of the correct answer:
A). Only the most recent request in the active data tableIn a DataMart DSO, request-based deletion is possible only for themost recent requestin theactive data table. Once a request is activated, it moves from the inbound table to the active data table. To maintain data consistency, SAP BW/4HANA enforces the rule that only the most recent request in the active data table can be deleted. Deleting older requests would disrupt the integrity of the data.
* Steps to Delete a Request:
* Navigate to the DataStore Object in the SAP BW/4HANA environment.
* Identify the most recent request in the active data table.
* Use the request deletion functionality to remove the request.
* The SAP BW/4HANA Data Modeling Guide explicitly states that request-based deletion in the active data table is restricted to the most recent request to ensure data consistency.
Incorrect OptionsB. Any non-activated request in the inbound tableNon-activated requests reside in theinbound tableand can be deleted individually without restriction. However, this option is incorrect because the question specifically refers to theactive data table, not the inbound table.
Reference: The SAP BW/4HANA documentation confirms that non-activated requests in the inbound table can be deleted freely, but this is outside the scope of the question.
C). Only the most recent non-activated request in the inbound tableThis statement is incorrect because there is no restriction on deleting non-activated requests in the inbound table. All non-activated requests in the inbound table can be deleted individually, regardless of their order.
Reference: The SAP BW/4HANA Data Modeling Guide clarifies that non-activated requests in the inbound table do not have the same restrictions as those in the active data table.
D). Any request in the active data tableThis option is incorrect because SAP BW/4HANA does not allow the deletion of any request in the active data table. Only the most recent request can be deleted to maintain data integrity.
Reference: The SAP BW/4HANA Administration Guide explicitly prohibits the deletion of arbitrary requests in the active data table, as it could lead to inconsistencies.
ConclusionThe correct answer regarding request-based deletion in a DataMart DataStore Object is:Only the most recent request in the active data table.
This restriction ensures that data consistency is maintained while still allowing users to remove the latest data if needed.

質問 # 30
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 Process Integration
• C. SAP Datasphere
• D. SAP Data Services
  

正解：B、C
解説：
TheWrite Interface for DataStore objects (advanced)in SAP BW/4HANA enables external systems to push data directly into theinbound tableof a DataStore object (DSO). This interface is particularly useful for integrating data from various SAP solutions and third-party systems. Below is an explanation of the correct answers and why they are valid.
* A. SAP Process Integration
* SAP Process Integration (PI), now known asSAP Cloud Integration (CI), is a middleware solution that facilitates seamless integration between different systems. It can leverage the Write Interface to push data into the inbound table of a DataStore object (advanced).
* SAP PI/CI supports various protocols and formats (e.g., IDoc, SOAP, REST) to transfer data, making it a versatile tool for integrating SAP BW/4HANA with other systems.
* SAP PI/CI is widely used in enterprise landscapes to connect SAP BW/4HANA with external systems, including pushing data via the Write Interface.
D). SAP Datasphere
SAP Datasphere(formerly known as SAP Data Warehouse Cloud) is a cloud-based data management solution that integrates seamlessly with SAP BW/4HANA. It can use the Write Interface to push data into the inbound table of a DataStore object (advanced).
SAP Datasphere is designed for hybrid and cloud-first architectures, enabling organizations to consolidate and harmonize data across on-premise and cloud environments.
Reference: SAP Datasphere leverages the Write Interface to enable real-time or near-real-time data integration with SAP BW/4HANA, supporting modern data warehousing requirements.
Incorrect Options:B. SAP Lscape Transformation Replication Server
SAP Landscape Transformation Replication Server (SLT)is primarily used for real-time replication of data from SAP ERP systems to SAP HANA or other target systems. While SLT is a powerful tool for data replication, it does not directly use the Write Interface for DataStore objects (advanced).
Instead, SLT replicates data at the database level, bypassing the need for the Write Interface.
Reference: SLT operates independently of the Write Interface and is not listed as a supported solution for pushing data into DSOs.
C). SAP Data Services
SAP Data Servicesis an ETL (Extract, Transform, Load) tool used for data integration and transformation.
While it can load data into SAP BW/4HANA, it does not use the Write Interface for DataStore objects (advanced).
Instead, SAP Data Services typically loads data into staging areas or directly into target objects using standard ETL processes.
Reference: SAP Data Services is not designed to interact with the Write Interface, as it relies on its own mechanisms for data loading.
Conclusion:The correct answers areA. SAP Process IntegrationandD. SAP Datasphere, as these solutions are explicitly designed to leverage the Write Interface for DataStore objects (advanced) in SAP BW/4HANA.
They enable seamless integration and data transfer between external systems and SAP BW/4HANA.

質問 # 31
How does SAP position SAP Datasphere in supporting business users?Note: There are 3 correctanswers to this question.

• A. Business users can create agile models from different sources.
• B. Business users can allocate system resources without IT involvement.
• C. Business users can upload their own CSV files.
• D. Business users can leverage embedded analytic Fiori apps for data analysis.
• E. Business users can create restricted and calculated columns based on existing models.
  

正解：A、C、E

質問 # 32
Which features of an SAP BW/4HANA InfoObject are intended to reduce physical data storage space? Note:
There are 2 correct answers to this question.

• A. Enhanced master data update
• B. Compounding characteristic
• C. Transitive attribute
• D. Reference characteristic
  

正解：C、D
解説：
In SAP BW/4HANA, InfoObjects are fundamental building blocks used to define characteristics (attributes) and key figures in data models. They play a critical role in organizing and managing master data and transactional data. Certain features of InfoObjects are specifically designed to optimize storage and reduce physical data redundancy. Below is a detailed explanation of the correct answers:
* Explanation: A reference characteristic allows one characteristic to "reuse" the master data and attributes of another characteristic. Instead of duplicating the master data for the referencing characteristic, it simply points to the referenced characteristic's master data.This significantly reduces physical storage space by avoiding redundancy.
* In SAP BW/4HANA, reference characteristics are commonly used when multiple characteristics share the same set of values (e.g., "Country" as a reference for "Shipping Country" and "Billing Country"). This feature aligns with SAP Data Engineer - Data Fabric principles of optimizing data storage and minimizing duplication.
Option B: Transitive attributeExplanation: A transitive attribute is an attribute that is derived from another characteristic rather than being stored directly in the master data table of the main characteristic. For example, if "City" has an attribute "Region," and "Region" has an attribute "Country," then "Country" can be defined as a transitive attribute of "City." This avoids storing the "Country" attribute redundantly in the "City" master data table, thereby reducing physical storage requirements.
Reference: Transitive attributes are a key feature in SAP BW/4HANA for optimizing master data storage. By leveraging relationships between characteristics, they ensure that only necessary data is stored, adhering to the principles of efficient data management in SAP Data Engineer - Data Fabric.
Option C: Compounding characteristicExplanation: A compounding characteristic is used to create a hierarchical relationship between two characteristics, where one characteristic depends on another (e.g.,
"Street" compounded with "City"). While compounding helps organize data logically, it does not inherently reduce physical storage space.Instead, it defines how data is structured and queried.
Reference: Compounding is primarily a modeling feature and does not contribute to storage optimization.
Therefore, this option is incorrect.
Option D: Enhanced master data updateExplanation: The enhanced master data update mechanism improves the process of updating master data by enabling parallel processing and reducing update times.
However, it does not directly reduce physical storage space. Its purpose is to enhance performance and efficiency during data updates, not to optimize storage.
Reference: While enhanced master data update is a valuable feature in SAP BW/4HANA, it is unrelated to reducing physical storage space, making this option incorrect.
SummaryTo reduce physical data storage space in SAP BW/4HANA, the following features of InfoObjects are used:
Reference characteristic: Reuses master data from another characteristic, avoiding duplication.
Transitive attribute: Derives attributes indirectly through relationships, minimizing redundant storage.
These features align with the SAP Data Engineer - Data Fabric's focus on efficient data modeling and storage optimization.

質問 # 33
......
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