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C-BW4H-2505認定試験トレーリング、C-BW4H-2505赤本勉強
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われわれは今の競争の激しいIT社会ではくつかIT関連認定証明書が必要だとよくわかります。IT専門知識をテストしているSAPのC-BW4H-2505認定試験は1つのとても重要な認証試験でございます。しかしこの試験は難しさがあって、合格率がずっと低いです。でもShikenPASSの最新問題集がこの問題を解決できますよ。C-BW4H-2505認定試験の真実問題と模擬練習問題があって、十分に試験に合格させることができます。
当社ShikenPASSのすべてのC-BW4H-2505トレーニングファイルは、この分野の専門家と教授によって設計されています。教材の品質は保証されています。すべての顧客の実際の状況に応じて、すべての顧客に適した学習計画を作成します。当社からC-BW4H-2505学習教材を購入する場合、C-BW4H-2505試験に簡単に合格するための専門的なトレーニングを受けることをお約束します。専門的なトレーニングにより、C-BW4H-2505試験に合格し、関連する認定資格を最短で取得します。
C-BW4H-2505赤本勉強、C-BW4H-2505テストトレーニング
今の多士済々な社会の中で、IT専門人士はとても人気がありますが、競争も大きいです。だからいろいろな方は試験を借って、自分の社会の地位を固めたいです。C-BW4H-2505認定試験はSAPの中に重要な認証試験の一つですが、ShikenPASSにIT業界のエリートのグループがあって、彼達は自分の経験と専門知識を使ってSAP C-BW4H-2505「SAP Certified Associate - Data Engineer - SAP BW/4HANA」認証試験に参加する方に対して問題集を研究続けています。
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 2
- 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 3
- 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 4
- 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 5
- 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。
SAP Certified Associate - Data Engineer - SAP BW/4HANA 認定 C-BW4H-2505 試験問題 (Q72-Q77):
質問 # 72
You use a measure with semantic type "Amount with Currency Code" in your SAP HANA HDI calculation view.Which kind of currency reference can be assigned to the measure?Note: There are 2 correctanswers to this question.
- A. A variable in the same SAP HANA view
- B. Acolumn from another SAP HANA view
- C. Another column of the same SAP HANA view
- D. A fixed currency from table TCURC
正解:A、C
質問 # 73
For which requirements do you suggest an SAP HANA modeling focus rather than an focus? Note: There are
2 correctanswers to this question.
- A. Reporting on a harmonized set of master data
- B. Loading snapshots or deltas from different sources on a periodic basis
- C. Leveraging SQL in-house knowledge
- D. Finding the best match using a fuzzy search
正解:C、D
質問 # 74
What are the possible ways to fill a pre-calculated value set (bucket)? Note: There are 3 correct answers to this question.
- A. By accessing an SAP HANA HDI Calculation View of data category Dimension
- B. By referencing a table
- C. By using a BW query (update value set by query)
- D. By using a transformation data transfer process (DTP)
- E. By entering the values manually
正解:C、D、E
解説:
In SAP Data Engineer - Data Fabric, pre-calculated value sets (buckets) are used to store and manage predefined sets of values that can be utilized in various processes such as reporting, data transformations, and analytics. These value sets can be filled using multiple methods depending on the requirements and the underlying architecture. Below is an explanation of the correct answers:
A). By using a BW query (update value set by query)This method allows you to populate a pre-calculated value set by leveraging the capabilities of a BW query. A BW query can extract data from an InfoProvider or other sources and update the value set dynamically. This approach is particularly useful when you want to automate the population of the bucket based on real-time or near-real-time data. The BW query ensures that the value set is updated with the latest information without manual intervention.
* SAP BW/4HANA supports the use of queries to update value sets as part of its advanced data modeling and analytics capabilities. This functionality is well-documented in SAP's official guides on BW Query Design and Value Set Management.
C). By using a transformation data transfer process (DTP)The Transformation Data Transfer Process (DTP) is a powerful mechanism in SAP BW/4HANA for moving and transforming data between different objects. When filling a pre-calculated value set, a DTP can be configured to extract data from a source object (e.g., an InfoProvider or DataSource) and load it into the bucket. This method is highly efficient for large- scale data transfers and ensures that the value set is populated accurately and consistently.
Reference: SAP Data Engineer - Data Fabric leverages DTPs extensively for data integration and transformation tasks. The official SAP documentation on DTPs highlights their role in managing value sets and buckets.
D). By entering the values manuallyFor scenarios where the value set is small or requires specific customization, manual entry is a viable option. This method involves directly inputting the values into the bucket through the SAP GUI or other interfaces. While this approach is not scalable for large datasets, it provides flexibility for ad-hoc or one-time configurations.
Reference: SAP provides user-friendly interfaces for manually managing value sets, as documented in the SAP BW/4HANA Administration Guide. This feature is particularly useful during the initial setup or testing phases.
Incorrect OptionsB. By accessing an SAP HANA HDI Calculation View of data category DimensionWhile SAP HANA HDI Calculation Views are powerful tools for data modeling and analytics, they are not directly used to populate pre-calculated value sets in SAP BW/4HANA. Instead, these views are typically used for querying and analyzing data within the SAP HANA database. To fill a bucket, you would need to use a BW query or DTP rather than directly accessing an HDI Calculation View.
Reference: SAP HANA HDI Calculation Views are primarily designed for real-time analytics and are not integrated into the BW/4HANA bucket management process.
E). By referencing a tableReferencing a table is not a supported method for populating pre-calculated value sets in SAP BW/4HANA. Buckets are managed through specific mechanisms like queries, DTPs, or manual entry, and direct table references are not part of this workflow.
Reference: The SAP BW/4HANA documentation explicitly outlines the supported methods for bucket population, and table references are not included.
ConclusionThe three correct methods for filling a pre-calculated value set in SAP Data Engineer - Data Fabric are:
Using a BW query (update value set by query).
Using a transformation data transfer process (DTP).
Entering the values manually.
These methods align with SAP's best practices for managing value sets and ensure flexibility, scalability, and accuracy in data engineering workflows.
質問 # 75
The behavior of a modeled dataflow depends on:
*The DataSource with its Delta Management method
*The type of the DataStore object (advanced) used as a target
*The update method of the key figures in the transformation.
Which of the following combinations provides consistent information for the target? Note: There are 3 correct answers to this question.
- A. *DataSource with Delta Management method ABR
*DataStore Object (advanced) type Stard
*Update method Summation - B. *DataSource with Delta Management method AIE
*DataStore Object (advanced) type Data Mart
*Update method Summation - C. *DataSource with Delta Management method ABR
*DataStore Object (advanced) type Stard
*Update method Move - D. *DataSource with Delta Management method ADD
*DataStore Object (advanced) type Stard
*Update method Move - E. *DataSource with Delta Management method ABR
*DataStore Object (advanced) type Data Mart
*Update method Summation
正解:A、C、E
解説:
The behavior of a modeled dataflow in SAP BW/4HANA depends on several factors, including theDelta Management methodof the DataSource, thetype of DataStore object (advanced)used as the target, and theupdate methodapplied to key figures in the transformation. To ensure consistent and accurate information in the target, these components must align correctly.
* Option B:
* DataSource with Delta Management method ABR:TheABR (After Image + Before Image) method tracks both the before and after states of changed records. This is ideal for scenarios where updates need to be accurately reflected in the target system.
* DataStore Object (advanced) type Stard:AStaging and Reporting DataStore Object (Stard)is designed for staging data and enabling reporting simultaneously. It supports detailed tracking of changes, making it compatible with ABR.
* Update method Summation:Thesummationupdate method aggregates key figures by adding new values to existing ones. This is suitable for ABR because it ensures that updates are accurately reflected without overwriting previous data.
* Option C:
* DataSource with Delta Management method ABR:As explained above, ABR is ideal for tracking changes.
* DataStore Object (advanced) type Stard:Stard supports detailed tracking of changes, making it compatible with ABR.
* Update method Move:Themoveupdate method overwrites existing key figure values with new ones. This is also valid for ABR because it ensures that the latest state of the data is reflected in the target.
* Option D:
* DataSource with Delta Management method ABR:ABR ensures accurate tracking of changes.
* DataStore Object (advanced) type Data Mart:AData MartDataStore Object is optimized for reporting and analytics. It can handle aggregated data effectively, making it compatible with ABR.
* Update method Summation:Summation is appropriate for aggregating key figures in a Data Mart, ensuring consistent and accurate results.
Correct Combinations:
* Option A:
* DataSource with Delta Management method ADD:TheADDmethod only tracks new records (inserts) and does not handle updates or deletions. This makes it incompatible with Stard and summation/move update methods, which require full change tracking.
* DataStore Object (advanced) type Stard:Stard requires detailed change tracking, which ADD cannot provide.
* Update method Move:Move is not suitable for ADD because it assumes updates or changes to existing data.
* Option E:
* DataSource with Delta Management method AIE:TheAIE (After Image Enhanced)method tracks only the after state of changed records. While it supports some scenarios, it is less comprehensive than ABR and may lead to inconsistencies in certain combinations.
* DataStore Object (advanced) type Data Mart:Data Mart objects require accurate aggregation, which AIE may not fully support.
* Update method Summation:Summation may not work reliably with AIE due to incomplete change tracking.
Incorrect Options:
SAP Data Engineer - Data Fabric Context:In the context ofSAP Data Engineer - Data Fabric, ensuring consistent and accurate dataflows is critical for building reliable data pipelines. The combination of Delta Management methods, DataStore object types, and update methods must align to meet specific business requirements. For example:
* Stardobjects are often used for staging and operational reporting, requiring detailed change tracking.
* Data Martobjects are used for analytics, requiring aggregated and consistent data.
For further details, refer to:
* SAP BW/4HANA Data Modeling Guide: Explains Delta Management methods and their compatibility with DataStore objects.
* SAP Learning Hub: Offers training on designing and implementing dataflows in SAP BW/4HANA.
By selectingB,C, andD, you ensure that the combinations provide consistent and accurate information for the target.
質問 # 76
For which use case would you need to model a transitive attribute?
- A. Report on navigational attributes of navigational attributes
- B. Load attributes using the enhanced master data update
- C. Store time-dependent snapshots of master data attributes
- D. Generate a transient provider for a BW query on master data attributes
正解:A
質問 # 77
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