SAP C-BW4H-2404日本語版 & C-BW4H-2404模擬試験サンプル
この情報の時代には、SAP業界にとても注目され、この強い情報技術業界にSAP人材が得難いです。こうしてC-BW4H-2404認定試験がとても重要になります。でも、この試験がとても難しくてSAP通になりたい方が障害になっています。
SAP C-BW4H-2404 認定試験の出題範囲:
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出題範囲
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SAP Certified Associate - Data Engineer - Data Fabric 認定 C-BW4H-2404 試験問題 (Q21-Q26):
質問 # 21
InfoObject "CITY" is defined as a display attribute for InfoObject "CUSTOMER" InfoObject "COUNTRY" is defined as a display attribute for InfoObject "CITY".In a master data report you want to display the
"COUNTRY" of a "CUSTOMER".
Which options do you have to realize this scenario? Note: There are 3 correct answers to this question.
正解:A、D、E
解説:
B. Generate external views:
* External views allow joining master data and transactional data in SAP HANA Calculation Views for flexible reporting.
C. Composite Provider with left outer joins:
* Composite Providers allow combining data using joins, providing a flexible virtual data mart structure.
E. Open ODS View with associations:
* Open ODS Views enable flexible modeling using associations between different master data entities.
References:SAP BW/4HANA modeling and reporting documentation (SAP Help Portal).
質問 # 22
Which entity can be used as a source of an Analytic Model?
正解:C
解説:
AnAnalytic Modelin SAP Data Fabric or SAP BW/4HANA is designed to analyze data by combining facts (measures) and dimensions (attributes). To create an Analytic Model, you need a source entity that represents the fact data. Below is a detailed explanation of why the correct answer is B:
* Incorrect: Business entities of semantic typeDimensionrepresent descriptive attributes (e.g., customer name, product category) rather than measurable data. While dimensions are essential for enriching fact data, they cannot serve as the primary source of an Analytic Model.
Option A: Business entities of semantic type Dimension
* Correct: Views of semantic typeFactcontain measurable data (e.g., sales revenue, quantity sold) and are the primary source for an Analytic Model. These views provide the numerical data required for analysis and reporting.
Option B: Views of semantic type Fact
* Incorrect: Tables of semantic typeHierarchydefine hierarchical relationships (e.g., organizational structures or product hierarchies). While hierarchies are useful for organizing and navigating data, they do not contain measurable data and cannot serve as the source of an Analytic Model.
Option C: Tables of semantic type Hierarchy
* Incorrect: Remote tables of semantic typeTextstore textual descriptions (e.g., product names, region names). These tables are used to enhance dimensions but do not contain measurable data and are not suitable as the source of an Analytic Model.
Option D: Remote tables of semantic type Text
* SAP Data Fabric Documentation: Explains the role of semantic types in defining the purpose of entities (e.g., Fact, Dimension, Hierarchy, Text).
* SAP BW/4HANA Modeling Guide: Describes how Analytic Models are built using fact data as the primary source and dimensions for contextual enrichment.
* SAP Analytics Cloud Integration: Highlights the importance of fact views in enabling advanced analytics and reporting.
References to SAP Data Engineer - Data Fabric ConceptsBy understanding the semantic types and their roles, you can effectively design Analytic Models that meet business requirements for data analysis and reporting.
質問 # 23
What are some of the variable types in a BW query that can use the processing type SAP HANA Exit? Note:
There are 2 correct answers to this question.
正解:A、B
解説:
In SAP BW (Business Warehouse) queries, variables are placeholders that allow dynamic input for filtering or calculations at runtime. The processing type "SAP HANA Exit" is a specific variable processing option that leverages SAP HANA's in-memory capabilities to enhance query performance by pushing down the variable processing logic to the database layer. This ensures faster execution and optimized resource utilization.
* Hierarchy Node (Option A)
* Hierarchy nodes are used in BW queries to represent hierarchical structures (e.g., organizational hierarchies, product hierarchies).
* When using the SAP HANA Exit processing type, the hierarchy node variable can be processed directly in the SAP HANA database. This allows for efficient handling of hierarchical data and improves query performance by leveraging HANA's advanced processing capabilities.
* Characteristic Value (Option D)
* Characteristic values are attributes associated with master data (e.g., customer IDs, product codes).
* By using the SAP HANA Exit processing type, characteristic value variables can be resolved directly in the HANA database. This eliminates the need for additional processing in the application layer, resulting in faster query execution.
* Formula (Option B):Formula variables are used to calculate values dynamically based on predefined formulas. These variables are typically processed in the application layer and cannot leverage the SAP HANA Exit processing type.
* Text (Option C):Text variables are used to filter or display descriptive text associated with master data.
Like formula variables, text variables are processed in the application layer and do not support the SAP HANA Exit processing type.
* SAP BW/4HANA Query Design Guide:This guide explains how variables are processed in BW queries and highlights the benefits of using SAP HANA Exit for certain variable types.
* Link:SAP BW/4HANA Documentation
* SAP HANA Optimization Techniques:SAP HANA Exit is part of the broader optimization techniques recommended for SAP BW/4HANA implementations. It aligns with the Data Fabric concept of integrating and optimizing data across various layers.
質問 # 24
Which are use cases for sharing an object? Note: There are 3 correct answers to this question.
正解:C、D、E
質問 # 25
Which options do you have to combine data from SAP BW bridge a customer space in SAP Datasphere core? Note: There are 2 correct answers to this question.
正解:A、C
質問 # 26
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