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C-BW4H-2404日本語認定 & C-BW4H-2404試験時間
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Jpshikenは、これまでで最高のC-BW4H-2404学習ガイドだけでなく、最も効率的な顧客のサーバーも提供することで、この分野で最も人気のある評判を所有しています。 C-BW4H-2404認定資格を取得し、希望するより高い給与を達成するための最善かつ最速の方法をご案内します。 C-BW4H-2404試験の準備により、C-BW4H-2404学習質問の成績が向上し、生活の状態を変えることができます。専門的な知識の蓄積です。 C-BW4H-2404ブレインダンプでより成功するでしょう。
SAP C-BW4H-2404試験時間、C-BW4H-2404試験解説
Jpshikenが提供したSAPのC-BW4H-2404トレーニング資料を利用してから試験に合格することがとてもたやすことになって、これは今までがないことです。これは試験に合格した受験生の一人が言ったのです。Jpshikenが提供したSAPのC-BW4H-2404トレーニング資料はあなたの雑然とした考えを整理できます。そうしたらあなたは心理的なストレスを減らせるだけでなく、気楽に試験に受かることもできます。Jpshikenには一部の問題と解答を無料に提供して差し上げますから、もし私の話を信じないのなら、試用版を使ってみてください。利用してみたら効果があるかどうか自分でよく知っているようになります。あなたに絶対向いていると信じていますよ。
SAP C-BW4H-2404 認定試験の出題範囲:
トピック
出題範囲
トピック 1
- Data Modeling and Design: This segment delves into the attributes and features of modeling entities within SAP BW
- 4HANA and SAP HANA HDI frameworks.
トピック 2
- Performance Optimization: This section scrutinizes elements associated with enhancing system efficiency.
トピック 3
- Data Acquisition into SAP BW
- 4HANA: This section addresses the incorporation of diverse data origins into SAP BW
- 4HANA and the methodologies for data ingestion.
トピック 4
- SAP Datasphere: This part investigates the implementation of SAP Datasphere, encompassing its modeling components and the SAP BW bridge capabilities.
トピック 5
- Fundamentals: This portion explores key terminologies, principles, and benefits of SAP BW
- 4HANA built on SAP HANA technology.
トピック 6
- Data Governance, Security, and Authorization: This part concentrates on safeguarding assets and information within SAP BW
- 4HANA and SAP HANA ecosystems.
トピック 7
- SAP BW Query Design: This portion encompasses the development and implementation of BW queries in the SAP BW
- 4HANA environment.
トピック 8
- SAP BW
- 4HANA Project and the Modeling Process: This segment offers direction on orchestrating SAP BW
- 4HANA initiatives.
SAP Certified Associate - Data Engineer - Data Fabric 認定 C-BW4H-2404 試験問題 (Q40-Q45):
質問 # 40
Which SAP BW/4HANA objects support the feature of generating an external SAP HANA View? Note:
There are 2 correct answers to this question.
- A. Open ODS view
- B. Semantic group object
- C. Composite Provider
- D. BW query
正解:C、D
質問 # 41
You are following a top-down method for your SAP BW/4HANA modeling project.
What would be your first task?
- A. Check available sources in the SAP ERP system
- B. Collect reporting requirements
- C. Determine enhancements of SAP Business Content
- D. Determine if physical or logical objetcs will be needed
正解:B
質問 # 42
For which reasons should you run an SAP HANA delta merge? Note: There are 2 correct answers to this question.
- A. To move the most recent data from disk to memory
- B. To improve the read performance of InfoProviders
- C. To decrease memory consumption
- D. To combine the query cache from different executions
正解:B、C
解説:
In SAP HANA, thedelta mergeoperation is a critical process for managing data storage and optimizing query performance. It is particularly relevant in columnar storage systems like SAP HANA, where data is stored in two parts: themain storage(optimized for read operations) and thedelta storage(optimized for write operations). The delta merge operation moves data from the delta storage to the main storage, ensuring efficient data management and improved query performance.
* To Decrease Memory Consumption (A):The delta storage holds recent changes (inserts, updates, deletes) in a row-based format, which is less memory-efficient compared to the columnar format used in the main storage. Over time, as more data accumulates in the delta storage, it can lead to increased memory usage. Running a delta merge moves this data into the main storage, which is compressed and optimized for columnar storage, thereby reducing overall memory consumption.
* To Improve the Read Performance of InfoProviders (D):Queries executed on SAP HANA tables or InfoProviders (such as ADSOs, CompositeProviders, or BW queries) benefit significantly from data being stored in the main storage. The main storage is optimized for read operations due to its columnar structure and compression techniques. When data resides in the delta storage, queries must access both the delta and main storage, which can degrade performance. By running a delta merge, all data is consolidated into the main storage, improving read performance for reporting and analytics.
Why Run an SAP HANA Delta Merge?
* To Combine the Query Cache from Different Executions (B):This is incorrect because the delta merge operation does not involve the query cache. The query cache in SAP HANA is a separate mechanism that stores results of previously executed queries to speed up subsequent executions. The delta merge focuses solely on moving data between delta and main storage and does not interact with the query cache.
* To Move the Most Recent Data from Disk to Memory (C):This is incorrect because SAP HANA's in- memory architecture ensures that all data, including the most recent data, is already stored in memory.
The delta merge operation does not move data from disk to memory; instead, it reorganizes data within memory (from delta to main storage). Disk storage in SAP HANA is typically used for persistence and backup purposes, not for active query processing.
Incorrect Options:
SAP Data Engineer - Data Fabric Context:In the context ofSAP Data Engineer - Data Fabric, understanding the delta merge process is essential for optimizing data models and ensuring high-performance analytics. SAP HANA is often used as the underlying database for SAP BW/4HANA and other data fabric solutions. Efficient data management practices, such as scheduling delta merges, contribute to seamless data integration and transformation across the data fabric landscape.
For further details, you can refer to the following resources:
* SAP HANA Administration Guide: Explains the delta merge process and its impact on system performance.
* SAP BW/4HANA Documentation: Discusses how delta merges affect InfoProvider performance in BW queries.
* SAP Learning Hub: Provides training materials on SAP HANA database administration and optimization techniques.
By selectingA (To decrease memory consumption)andD (To improve the read performance of InfoProviders), you ensure that your SAP HANA system operates efficiently, with reduced memory usage and faster query execution.
質問 # 43
For a BW query you want to have the first month of the current quarter as a default value for an input-ready BW variable for the characteristic 0CALMONTH.
Which processing type do you use?
- A. Customer Exit
- B. Manual Input with default value
- C. Replacement Path
- D. Manual Input with offset value
正解:A
解説:
The processing type "Customer Exit" allows dynamic determination of default values for input-ready BW variables based on custom logic.
In this case, you can use a customer exit to calculate the first month of the current quarter dynamically by implementing ABAP logic in the enhancement spotRSROA_VARIABLES_EXIT.
This ensures that the variable adapts automatically to the current quarter during runtime.
References:SAP BW/4HANA documentation on Customer Exit Variables (SAP Help Portal - Customer Exits).
質問 # 44
You want to build an SAP HANA HDI calculation view of data category CUBE, but you get the "no measure defined" error. For the business requirement, a measure does not make sense.
Besides changing the data category to DIMENSION, what do you have to do?
- A. Switch from an aggregation node to a star join node
- B. Switch from an aggregation node to a projection node
- C. Switch from a projection node to a star join node
- D. Switch form a projection node to an aggregation node
正解:B
質問 # 45
......
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