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높은적중율을자랑하는C_BW4H_2404퍼펙트인증공부덤프공부문제

우선 우리Pass4Test 사이트에서SAP C_BW4H_2404관련자료의 일부 문제와 답 등 샘플을 제공함으로 여러분은 무료로 다운받아 체험해보실 수 있습니다.체험 후 우리의Pass4Test에 신뢰감을 느끼게 됩니다. Pass4Test에서 제공하는SAP C_BW4H_2404덤프로 시험 준비하시면 편안하게 시험을 패스하실 수 있습니다.

SAP C_BW4H_2404 시험요강:

주제
소개

주제 1

Performance Optimization: This section scrutinizes elements associated with enhancing system efficiency.

주제 2

SAP Datasphere: This part investigates the implementation of SAP Datasphere, encompassing its modeling components and the SAP BW bridge capabilities.

주제 3

SAP BW Query Design: This portion encompasses the development and implementation of BW queries in the SAP BW
4HANA environment.

주제 4

Data Governance, Security, and Authorization: This part concentrates on safeguarding assets and information within SAP BW
4HANA and SAP HANA ecosystems.

주제 5

Fundamentals: This portion explores key terminologies, principles, and benefits of SAP BW
4HANA built on SAP HANA technology.

주제 6

SAP BW
4HANA Project and the Modeling Process: This segment offers direction on orchestrating SAP BW
4HANA initiatives.

주제 7

Data Modeling and Design: This segment delves into the attributes and features of modeling entities within SAP BW
4HANA and SAP HANA HDI frameworks.

>> C_BW4H_2404퍼펙트 인증공부 <<

시험패스 가능한 C_BW4H_2404퍼펙트 인증공부 덤프데모문제 다운받기

Pass4Test는 많은 분들이SAP인증C_BW4H_2404시험을 응시하여 성공하도록 도와주는 사이트입니다Pass4Test의 SAP인증C_BW4H_2404 학습가이드는 시험의 예상문제로 만들어진 아주 퍼펙트한 시험자료입니다. SAP인증C_BW4H_2404시험은 최근 가장 인기있는 시험으로 IT인사들의 사랑을 독차지하고 있으며 국제적으로 인정해주는 시험이라 어느 나라에서 근무하나 제한이 없습니다. Pass4Test로 여러분은 소유하고 싶은 인증서를 빠른 시일내에 얻게 될것입니다.

최신 SAP Certified Associate C_BW4H_2404 무료샘플문제 (Q33-Q38):

질문 # 33
Which join types can you use in a Composite Provider? Note: There are 3 correct answers to this question.

A. Referential join
B. Full Outer join
C. Temporal hierarchy join
D. Inner join
E. Text join

정답：A,B,D

설명：
C. Full Outer Join:
* Combines data from both sources, including unmatched rows from either side.
D. Referential Join:
* Optimized join that assumes data consistency between the sources for faster query performance.
E. Inner Join:
* Only combines rows with matching keys in both sources, commonly used for exact matches.
References:SAP BW/4HANA Composite Provider documentation (SAP Help Portal).

질문 # 34
You defined a condition in a BW query for the top 10 of 100 customers based on sales revenue.
Using key figure properties in the BW query which two scenarios regarding result presentation can be achieved? Note: There are 2 correct answers to this question.

A. One result row with the sales revenue sum of all 100 customers
B. One result row with the sales revenue sum of the top 10 customers a second result row with the sales revenue sum of the other 90 customers
C. One result row with the sales revenue sum of the top 10 customers
D. One result row with the sales revenue sum of the top 10 customers a second result row with the sales revenue sum of all 100 customers

정답：B,C

질문 # 35
You defined a condition in a BW query for the top 10 of 100 customers based on sales revenue.
Using key figure properties in the BW query which two scenarios regarding result presentation can be achieved? Note: There are 2 correct answers to this question.

A. One result row with the sales revenue sum of all 100 customers
B. One result row with the sales revenue sum of the top 10 customers a second result row with the sales revenue sum of the other 90 customers
C. One result row with the sales revenue sum of the top 10 customers
D. One result row with the sales revenue sum of the top 10 customers a second result row with the sales revenue sum of all 100 customers

정답：B,C

설명：
* Key Figure Properties in Query:
* Key figure properties enable flexible aggregation and presentation of data in BW queries.
* They allow splitting or consolidating result rows based on specific conditions or properties.
* Scenario Explanation:
* Answer C:A single result row showing the aggregated sales revenue for the top 10 customers.
* Answer D:Two separate result rows: one for the top 10 customers' revenue and another for the remaining 90 customers.
References:
* SAP BW Query Design Documentation
* SAP Learning Hub - Conditional Reporting Techniques in BW Queries

질문 # 36
You have already loaded data from a non-SAP system into SAP Datasphere. You want to federate this data with data from an InfoCube of your SAP BW powered by SAP HANA.
What do you need to use to combine the data?

A. SAP BW/4HANA Model Transfer
B. SAP ABAP Connection
C. SAP BW Shell Migration
D. SAP BW Remote Migration

정답：B

설명：
To federate data betweenSAP Datasphereand anInfoCubeinSAP BW powered by SAP HANA, you need to establish a connection that allows SAP Datasphere to access the data stored in the InfoCube. Below is an explanation of the options:
* Explanation: This is the correct answer. AnSAP ABAP Connectionallows SAP Datasphere to connect to an SAP BW system and access its data objects, including InfoCubes. This connection leverages theABAP stackto enable seamless integration between SAP Datasphere and SAP BW.

질문 # 37
Which entity can be used as a source of an Analytic Model?

A. Views of semantic type Fact
B. Tables of semantic type Hierarchy
C. Remote tables of semantic type Text
D. Business entities of semantic type Dimension

정답：A

설명：
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.

질문 # 38
......

네트웨크시대인 지금 인터넷에 검색하면 수많은SAP인증 C_BW4H_2404시험공부자료가 검색되는데 그중에서도Pass4Test에서 출시한 SAP인증 C_BW4H_2404덤프가 가장 높은 인지도를 지니고 있습니다. SAP인증 C_BW4H_2404덤프에는SAP인증 C_BW4H_2404시험문제의 기출문제와 예상문제가 수록되어있어 덤프에 있는 문제만 잘 공부하시면 시험은 가볍게 패스가능합니다. SAP인증 C_BW4H_2404시험을 통과하여 자겨증취득하는 꿈에 더욱 가까이 다가가세요.

C_BW4H_2404높은 통과율 시험공부: https://www.pass4test.net/C_BW4H_2404.html

Glen Ward Glen Ward

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