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最高のC_BW4H_2505復習テキスト &合格スムーズC_BW4H_2505模擬体験 |権威のあるC_BW4H_2505勉強方法
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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
- Data Acquisition into SAP BW
- 4HANA: This section tests how Data Engineers manage data integration into SAP BW
- 4HANA from multiple sources. It covers essential knowledge of tools and processes used for data extraction, transformation, and loading into the SAP environment.
トピック 2
- SAP Analytics Tools and SAP Analytics Cloud: This section evaluates the skills of SAP Consultants in using tools like SAP Analytics Cloud, Lumira, and Analysis for Office to visualize and interpret data. It focuses on the consultant’s ability to apply business intelligence tools within the SAP ecosystem.
トピック 3
- SAP BW
- 4HANA Project and the Modeling Process:This section of the exam assesses how Data Engineers guide and contribute to SAP BW
- 4HANA projects. It includes knowledge of modeling workflows, project lifecycle stages, and collaboration strategies within project teams.
トピック 4
- Fundamentals: This section of the exam measures the foundational understanding of SAP Consultants and covers essential terms and concepts related to SAP BW
- 4HANA and SAP Business Data Cloud. It focuses on the core framework and architecture necessary to navigate and work with these platforms.
トピック 5
- SAP BW
- 4HANA Data Flow: This section of the exam measures the practical ability of SAP Consultants to load data within the SAP BW
- 4HANA environment. It assesses familiarity with data movement and transformation processes across different layers of the system.
トピック 6
- SAP BW
- 4HANA Modeling:This section targets the skills of Data Engineers in selecting appropriate modeling options and applying best practices like LSA++ within SAP BW
- 4HANA. It focuses on designing scalable, high-performing data models.
トピック 7
- Native SAP HANA Modeling:This section evaluates the ability of SAP Consultants to describe and apply native modeling options in SAP HANA. It emphasizes understanding how to build optimized data structures directly within the HANA platform.
トピック 8
- InfoObjects and InfoProviders:This section tests the knowledge of Data Engineers in working with InfoObjects and InfoProviders in SAP BW
- 4HANA. It involves handling data structures used for organizing, storing, and accessing analytical data.
C_BW4H_2505試験の準備方法|最新のC_BW4H_2505復習テキスト試験|更新するSAP Certified Associate - Data Engineer - SAP BW/4HANA模擬体験
C_BW4H_2505試験のブレーンダンプは、より大きな会社に注目させる能力を証明できます。 C_BW4H_2505試験ガイドは、良い仕事を得るのに役立ちます。 C_BW4H_2505のテスト準備は、ごく短時間で完全かつ効率的に自分自身を証明するのに役立ちます。 何万人ものお客様が、C_BW4H_2505試験の質問で20〜30時間勉強すれば、C_BW4H_2505試験に合格し、それに応じて資格を取得できることを証明しました。
SAP Certified Associate - Data Engineer - SAP BW/4HANA 認定 C_BW4H_2505 試験問題 (Q45-Q50):
質問 # 45
Which join types can you use in a CompositeProvider?Note: There are 3 correctanswers to this question.
- A. Referentiajolin
- B. Text join
- C. Temporal hierarchy join
- D. Full Outer join
- E. Inner join
正解:B、D、E
解説:
SAP BW/4HANA Project and Modeling Process
質問 # 46
An upper-level CompositeProvider compares current values with historic values based on a union operation.
The current values are provided by a DataStore object (advanced) that is updated daily. Historic values are provided by a lower-level CompositeProvider that combines different open ODS views from DataSources.
What can you do to improve the performance of the BW queries that use the upper-level CompositeProvider?
Note: There are 2 correct answers to this question.
- A. Replace the lower-level CompositeProvider with a new DataStore object (advanced) fill it with the same combination of historic data.
- B. Use a join node instead of the Union node in the upper-level CompositeProvider.
- C. Replace the DataStore object (advanced) for current data by an Open ODS view that accesses the current data directly from the source system.
- D. Use the "Generate Dataflow" feature for the Open ODS views load the historic data to the new generated DataStore objects (advanced).
正解:A、D
解説:
Improving the performance of BW queries that use a CompositeProvider involves optimizing the underlying data sources and their integration. Let's analyze each option to determine why A and D are correct:
* Explanation: CompositeProviders are powerful tools for combining data from multiple sources, but they can introduce performance overhead due to the complexity of union operations. Replacing the lower- level CompositeProvider with a DataStore object (advanced) simplifies the data model and improves query performance. The DataStore object can be preloaded with the combined historic data, eliminating the need for real-time union operations during query execution.
* In SAP BW/4HANA, DataStore objects (advanced) are optimized for high-performance data storage and retrieval. They provide faster access compared to CompositeProviders, especially when dealing with static or semi-static data like historic values.
2. Use a join node instead of the Union node in the upper-level CompositeProvider (Option B) Explanation: Replacing a Union node with a Join node is not always feasible, as these operations serve different purposes. A Union combines data from multiple sources into a single dataset, while a Join merges data based on matching keys. If the data model requires a Union operation, replacing it with a Join would fundamentally alter the query logic and produce incorrect results.
Reference: The choice between Union and Join depends on the business requirements and data relationships.
Performance improvements should focus on optimizing the existing Union operation rather than replacing it with an incompatible operation.
3. Replace the DataStore object (advanced) for current data with an Open ODS view that accesses the current data directly from the source system (Option C)Explanation: Accessing current data directly from the source system via an Open ODS view can introduce latency and increase the load on the source system.
Additionally, this approach bypasses the benefits of staging data in a DataStore object (advanced), such as data cleansing and transformation. For optimal performance, it is better to retain the DataStore object for current data.
Reference: SAP BW/4HANA emphasizes the use of DataStore objects (advanced) for staging and processing data before it is consumed by queries. This ensures consistent performance and reduces dependency on external systems.
4. Use the "Generate Dataflow" feature for the Open ODS views and load the historic data to the newly generated DataStore objects (advanced) (Option D)Explanation: The "Generate Dataflow" feature automates the process of creating dataflows for Open ODS views. By loading historic data into newly generated DataStore objects (advanced), you consolidate the data into a single, optimized storage layer. This eliminates the need for complex unions and improves query performance.
Reference: SAP BW/4HANA provides tools like "Generate Dataflow" to streamline data modeling and integration. Using DataStore objects (advanced) for historic data ensures efficient storage and retrieval.
ConclusionThe correct answers areA (Replace the lower-level CompositeProvider with a new DataStore object (advanced) and fill it with the same combination of historic data)andD (Use the "Generate Dataflow" feature for the Open ODS views and load the historic data to the newly generated DataStore objects (advanced)). These approaches simplify the data model, reduce query complexity, and improve overall performance.
質問 # 47
You created an Open ODS View on an SAP HANA database table to virtually consume the data in SAP BW
/4HANReal-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 correctanswers to this question.
- A. Data source
- B. Transformation
- C. DataStore object (advanced)
- D. SAP HANA calculation view
- E. CompositeProvider
正解:A、B、C
質問 # 48
Which objects values can be affected by the key date in a BW query? Note: There are 3 correct answers to this question.
- A. Display attributes
- B. Navigation attributes
- C. Time characteristics
- D. Basic key figures
- E. Hierarchies
正解:A、C、E
解説:
In SAP BW (Business Warehouse), the key date is a critical parameter used in queries to determine the validity of data based on time-dependent objects. The key date allows users to retrieve data as it was valid on a specific date, which is particularly important for time-dependent master data and hierarchies. Below is a detailed explanation of how the key date affects different types of objects in a BW query:
* Explanation: Display attributes are additional descriptive fields associated with characteristics in SAP BW. These attributes can be time-dependent, meaning their values may change over time. When a key date is specified in a BW query, the system retrieves the value of the display attribute that was valid on that specific date.
* In SAP BW, display attributes are often derived from master data tables. If the master data is time-dependent (e.g., material descriptions or customer names that change over time), the key date ensures that the correct historical value is displayed in the query result.
2. Basic Key FiguresExplanation: Basic key figures represent measurable quantities such as sales revenue, quantity sold, or costs. These values are typically stored in fact tables and are not directly affected by the key date. Instead, they are influenced by the time characteristics (e.g., fiscal year, calendar month) used in the query.
Why Not Affected: Since basic key figures are numeric measures tied to transactional data, they do not depend on the validity of master data or hierarchies.Therefore, the key date does not impact their values.
Reference: SAP BW documentation confirms that key figures are independent of the key date unless explicitly modeled with time-dependent logic.
3. Time CharacteristicsExplanation: Time characteristics (e.g., fiscal year, calendar month, or posting date) are directly influenced by the key date. The key date determines the time period for which data is retrieved in the query. For example, if the key date is set to "01.01.2023," the query will fetch data relevant to that specific date or period.
Reference: Time characteristics are integral to BW queries, and the key date serves as a filter to restrict data retrieval to a specific point in time. This functionality is well-documented in SAP BW query design guides.
4. HierarchiesExplanation: Hierarchies in SAP BW are often time-dependent, meaning their structure or node assignments may change over time. The key date ensures that the hierarchy version valid on the specified date is used in the query. For example, an organizational hierarchy might change due to restructuring, and the key date determines which version of the hierarchy is applied.
Reference: SAP BW supports time-dependent hierarchies, and the key date is a standard mechanism to manage these changes.This is extensively covered in SAP BW hierarchy management documentation.
5. Navigation AttributesExplanation: Navigation attributes are similar to display attributes but are used for filtering or navigating data in queries. Like display attributes, navigation attributes can be time-dependent.
However, the key date does not affect navigation attributes because they are primarily used for query navigation rather than displaying values.
Why Not Affected: Navigation attributes are not directly displayed in query results, and their behavior is not influenced by the key date.
Reference: SAP BW query modeling guidelines clarify that navigation attributes are not impacted by the key date.
ConclusionThe key date in a BW query affects objects that are time-dependent, such as display attributes, time characteristics, and hierarchies. It ensures that the correct historical values or structures are used in the query results. Basic key figures and navigation attributes are not directly influenced by the key date.
By understanding these relationships, SAP Data Engineers can design robust queries that accurately reflect historical data as per business requirements.
質問 # 49
Why do you set the Read Access Type to "SAP HANA View" in an SAP BW/4HANA InfoObject?
- A. To use the InfoObject as an association within an Open ODS view
- B. To enable parallel loading of master data texts
- C. To generate an SAP HANA calculation view data category Dimension
- D. To report master data attributes which are defined in calculation views
正解:C
解説:
When the Read Access Type is set to "SAP HANA View" for an InfoObject in SAP BW/4HANA:
* SAP HANA Calculation View Generation:
* This setting enables the generation of an SAP HANA calculation view of the data category Dimensionfor the InfoObject.
* The view allows seamless integration and use of the InfoObject in other HANA-native modeling scenarios.
* Purpose:
* To enhance data access and leverage SAP HANA's performance for analytics and modeling.
References:
SAP BW/4HANA InfoObject Configuration Documentation
SAP HANA Modeling Guide
質問 # 50
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