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[General] 有難い-正確的なC_BW4H_2505資格取得講座試験-試験の準備方法C_BW4H_2505日本語練習問題

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【General】 有難い-正確的なC_BW4H_2505資格取得講座試験-試験の準備方法C_BW4H_2505日本語練習問題

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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
  • 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 2
  • 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 3
  • SAP AnalyticsツールとSAP Analytics Cloud：このセクションでは、SAPコンサルタントがSAP Analytics Cloud、Lumira、Analysis for Officeなどのツールを使用してデータを視覚化し、解釈するスキルを評価します。特に、SAPエコシステム内でビジネスインテリジェンスツールを適用するコンサルタントの能力に重点を置きます。
トピック 4
  • 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。
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
  • SAP HANAへのデータ取得：このセクションでは、SAPコンサルタントが様々なデータソースをSAP HANAに統合する能力を評価します。様々なデータ取り込み手法を理解し、処理に必要なデータアクセスを確保する能力を評価します。
トピック 7
  • 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 8
  • 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 9
  • 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。

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SAP Certified Associate - Data Engineer - SAP BW/4HANA 認定 C_BW4H_2505 試験問題 (Q51-Q56):質問 # 51
Which are purposes of the Open Operational Data Store layer in the layered scalable architecture (LSA++) of SAP BW/4HANA? Note: There are 2 correct answers to this question.
  • A. Real-time reporting on source system data without staging
  • B. Transformations of data based on business logic
  • C. Initial staging of source system data
  • D. Harmonization of data from several source systems
正解：C、D
解説：
TheOpen Operational Data Store (ODS)layer in theLayered Scalable Architecture (LSA++)of SAP BW
/4HANA plays a critical role in managing and processing data as part of the overall data warehousing architecture. The Open ODS layer is designed to handle operational and near-real-time data requirements while maintaining flexibility and performance. Below is an explanation of the purposes of this layer and why the correct answers areAandC.
* A. Harmonization of data from several source systems
* The Open ODS layer is often used to harmonize data from multiple source systems. This involves consolidating and standardizing data from different sources into a unified format.
* For example, if you have sales data coming from different ERP systems with varying structures or naming conventions, the Open ODS layer can be used to align these differences before the data is further processed or consumed for reporting.
* In SAP BW/4HANA, the Open ODS layer supports harmonization by providing tools like transformations and mappings to ensure consistency across data from disparate sources. This is particularly important in heterogeneous landscapes where data integration is a challenge.
C). Initial staging of source system data
The Open ODS layer serves as an initial staging area for raw data extracted from source systems. It provides a temporary storage point where data can be landed and prepared for further processing or analysis.
This staging capability ensures that data is available in its original form (or minimally transformed) for downstream processes, such as loading into other layers of the LSA++ architecture or enabling real-time reporting.
Reference: The Open ODS layer is optimized for high-performance data ingestion and staging, making it ideal for scenarios where data needs to be quickly loaded and made available for operational reporting or further transformation.
Incorrect Options:B. Transformations of data based on business logic
While transformations can occur in the Open ODS layer, this is not its primary purpose. The Open ODS layer focuses on initial data staging and harmonization rather than complex business logic transformations.
Business logic transformations are typically performed in subsequent layers of the LSA++ architecture, such as theData Propagation Layer (DPL)or theCore Data Warehouse Layer (CDWH).
Reference: SAP recommends keeping the Open ODS layer lightweight and focused on operational and near- real-time use cases, avoiding heavy transformations that could impact performance.
D). Real-time reporting on source system data without staging
The Open ODS layer does support real-time reporting, but it requires data to be staged first. The layer acts as an intermediate storage point where data is landed and processed before being made available for reporting.
Reporting directly on source system data without staging is typically achieved throughVirtual Data Models (VDMs)orSAP HANA Live, which bypass the need for staging entirely.
Reference: The Open ODS layer is not designed for direct, real-time access to source system data without staging. Its role is to stage and prepare data for operational reporting or further processing.
Conclusion:TheOpen ODS layerin SAP BW/4HANA's LSA++ architecture is primarily used forharmonizing data from multiple source systemsand serving as aninitial staging area for source system data. These purposes align with its role in supporting operational and near-real-time reporting while maintaining flexibility and performance. The correct answers are thereforeAandC.

質問 # 52
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 create restricted and calculated columns based on existing models.
  • C. Business users can allocate system resources without IT involvement.
  • D. Business users can upload their own CSV files.
  • E. Business users can leverage embedded analytic Fiori apps for data analysis.
正解：A、B、D

質問 # 53
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 Data Services
  • C. SAP Datasphere
  • D. SAP Process Integration
正解：C、D
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 # 54
You created an Open ODS View on an SAP HANA database table to virtually consume the data in SAP BW
/4HANA. Real-time reporting requirements have now changed you are asked to persist the data in SAP BW
/4HANA.
Which objects are created when using the "Generate Data Flow" function in the Open ODS View editor?
Note: There are 3 correct answers to this question.
  • A. Data source
  • B. CompositeProvider
  • C. DataStore object (advanced)
  • D. SAP HANA calculation view
  • E. Transformation
正解：A、C、E
解説：
* Open ODS View: An Open ODS View in SAP BW/4HANA allows virtual consumption of data from external sources (e.g., SAP HANA tables). It does not persist data but provides real-time access to the underlying source.
* Generate Data Flow Function: When using the "Generate Data Flow" function in the Open ODS View editor, SAP BW/4HANA creates objects to persist the data for reporting purposes. This involves transforming the virtual data into a persistent format within the BW system.
* Generated Objects:
* DataStore Object (Advanced): Used to persist the data extracted from the Open ODS View.
* Transformation: Defines how data is transformed and loaded into the DataStore Object (Advanced).
* Data Source: Represents the source of the data being persisted.
Key Concepts:Objects Created by "Generate Data Flow":When you use the "Generate Data Flow" function in the Open ODS View editor, the following objects are created:
* DataStore Object (Advanced): This is the primary object where the data is persisted. It serves as the storage layer for the data extracted from the Open ODS View.
* Transformation: A transformation is automatically generated to map the fields from the Open ODS View to the DataStore Object (Advanced). This ensures that the data is correctly structured and transformed during the loading process.
* Data Source: A data source is created to represent the Open ODS View as the source of the data. This allows the BW system to extract data from the virtual view and load it into the DataStore Object (Advanced).
* B. SAP HANA Calculation View: While Open ODS Views may be based on SAP HANA calculation views, the "Generate Data Flow" function does not create additional calculation views. It focuses on persisting data within the BW system.
* E. CompositeProvider: A CompositeProvider is used to combine data from multiple sources for reporting. It is not automatically created by the "Generate Data Flow" function.
References:SAP BW/4HANA Documentation on Open ODS Views: The official documentation explains the
"Generate Data Flow" function and its role in persisting data.
SAP Note on Open ODS Views: Notes such as 2608998 provide details on how Open ODS Views interact with persistent storage objects.
SAP BW/4HANA Best Practices for Data Modeling: These guidelines recommend using transformations and DataStore Objects (Advanced) for persisting data from virtual sources.
By using the "Generate Data Flow" function, you can seamlessly transition from virtual data consumption to persistent storage, ensuring compliance with real-time reporting requirements.

質問 # 55
For which requirements do you suggest an SAP HANA modeling focus rather than an SAP BW/4HANA modeling focus? Note: There are 2 correct answers to this question.
  • A. Loading snapshots or deltas from different sources on a periodic basis
  • B. Finding the best match using a fuzzy search
  • C. Leveraging SQL in-house knowledge
  • D. Reporting on a harmonized set of master data
正解：B、C
解説：
When deciding betweenSAP HANA modelingandSAP BW/4HANA modeling, it is essential to consider the specific requirements of the use case. SAP HANA modeling focuses on leveraging the native capabilities of the SAP HANA database, such as advanced analytics, SQL-based development, and real-time processing. In contrast, SAP BW/4HANA modeling is better suited for structured data integration, harmonization, and reporting scenarios that require predefined data models and governance.
* Finding the best match using a fuzzy search (Option A):SAP HANA provides advanced analytical capabilities, includingfuzzy search, which allows you to find approximate matches for text-based data.
This feature is particularly useful for scenarios like name matching, address validation, or duplicate detection, where exact matches are not always possible.
* Fuzzy search is a native capability of SAP HANA and can be implemented directly in calculation views or SQL scripts.
* While SAP BW/4HANA can integrate with SAP HANA for such functionalities, it is more efficient to implement fuzzy search directly in SAP HANA modeling to take full advantage of its performance and flexibility.
* Leveraging SQL in-house knowledge (Option C):If your team has strong expertise in SQL and prefers to work with SQL-based development, SAP HANA modeling is the better choice. SAP HANA supports SQL scripting and development natively, allowing developers to create complex logic, transformations, and calculations directly in the database layer.
* SAP BW/4HANA, on the other hand, uses a more structured modeling approach (e.g., transformations, DTPs) that may not fully leverage SQL skills.
* By focusing on SAP HANA modeling, you can maximize the use of in-house SQL expertise while maintaining high performance and flexibility.
* Loading snapshots or deltas from different sources on a periodic basis (Option B):This requirement is better suited for SAP BW/4HANA modeling. SAP BW/4HANA provides robust data integration capabilities, including Data Transfer Processes (DTPs) and process chains, which are specifically designed for loading and managing data from multiple sources. These tools offer built-in error handling, scheduling, and monitoring features that simplify periodic data loads.
* Reporting on a harmonized set of master data (Option D):Reporting on harmonized master data is a core strength of SAP BW/4HANA. SAP BW/4HANA excels at integrating, cleansing, and harmonizing data from disparate sources into a unified model. It also provides features like hierarchies, key figure calculations, and query design that are optimized for reporting. SAP HANA modeling, while powerful, does not inherently provide the same level of data governance and harmonization capabilities.
* SAP HANA Modeling Strengths:
* Real-time analytics and advanced algorithms (e.g., predictive analytics, graph processing).
* Flexibility for ad-hoc queries and custom SQL-based logic.
* Native support for advanced search features like fuzzy search.
* SAP BW/4HANA Modeling Strengths:
* Structured data integration and harmonization.
* Predefined data models and governance frameworks.
* Optimized for enterprise-wide reporting and analytics.
* SAP HANA Advanced Analytics Guide:This guide explains how to use SAP HANA's native capabilities, including fuzzy search and SQL scripting, for advanced analytics.
* Link:SAP HANA Advanced Analytics
* SAP BW/4HANA Data Integration Best Practices:This resource highlights the strengths of SAP BW
/4HANA in data integration, harmonization, and reporting scenarios.
Reference: SAP Note 2637890 - Best Practices for Data Integration in SAP BW/4HANA.
By choosingSAP HANA modelingfor requirements like fuzzy search and SQL expertise, you can leverage the database's native capabilities and flexibility, ensuring optimal performance and alignment with your team's skill set.

質問 # 56
......
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