DUMPS C-BW4H-2404 COST - C-BW4H-2404 VALID TEST NOTES

Dumps C-BW4H-2404 Cost - C-BW4H-2404 Valid Test Notes

Dumps C-BW4H-2404 Cost - C-BW4H-2404 Valid Test Notes

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C-BW4H-2404 Valid Test Notes | C-BW4H-2404 Latest Test Answers

It is generally acknowledged that candidates who earn the SAP Certified Associate - Data Engineer - Data Fabric (C-BW4H-2404) certification ultimately get high-paying jobs in the tech market. Success in the SAP Certified Associate - Data Engineer - Data Fabric (C-BW4H-2404) exam not only validates your skills but also helps you get promotions. To pass the SAP Certified Associate - Data Engineer - Data Fabric test in a short time, you must prepare with C-BW4H-2404 Exam Questions that are real and updated. Without studying with C-BW4H-2404 actual questions, candidates fail and waste their time and money.

SAP C-BW4H-2404 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data Governance, Security, and Authorization: This part concentrates on safeguarding assets and information within SAP BW
  • 4HANA and SAP HANA ecosystems.
Topic 2
  • Performance Optimization: This section scrutinizes elements associated with enhancing system efficiency.
Topic 3
  • Data Modeling and Design: This segment delves into the attributes and features of modeling entities within SAP BW
  • 4HANA and SAP HANA HDI frameworks.
Topic 4
  • 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.

SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q16-Q21):

NEW QUESTION # 16
Which entity can be used as a source of an Analytic Model?

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

Answer: B

Explanation:
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.


NEW QUESTION # 17
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 form a projection node to an aggregation node
  • C. Switch from an aggregation node to a projection node
  • D. Switch from a projection node to a star join node

Answer: C


NEW QUESTION # 18
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 OCALMONTH.
Which processing type do you use?

  • A. Replacement Path
  • B. Manual Input with offset value
  • C. Manuel Input with default value
  • D. Customer Exit

Answer: D


NEW QUESTION # 19
What are some of the prerequisites for using SAP S/4HANA ABAP CDS views for extraction into SAP BW
/4HANA in an ODP context? Note: There are 2 correct answers to this question.

  • A. The ABAP CDS views must be released through the program RODPS_OS_EXPOSE for BW extraction.
  • B. An ODP source system with context ODP_CDS must be created in SAP BW/4HANA.
  • C. The Operational Data Provisioning Framework must be configured in SAP BW/4HANA.
  • D. The ABAP CDS views must be defined with the appropriate data extraction annotations.

Answer: B,D

Explanation:
* ODP Source System Creation (Answer C):
* In SAP BW/4HANA, an ODP source system must be defined with the context ODP_CDS to enable data extraction from ABAP CDS views.
* Data Extraction Annotations (Answer D):
* CDS views must include annotations for data extraction (@Analytics.
dataCategoryand@Analytics.query), ensuring compatibility with the ODP framework.
* Program RODPS_OS_EXPOSE (Option A):This program is used for Operational Data Providers (ODPs), not ABAP CDS.
* Operational Data Provisioning Framework in BW (Option B):The framework must be configured in the source system, not BW/4HANA.
Incorrect Options:References:
* SAP Help Portal - ODP Context for ABAP CDS Views
* SAP BW/4HANA Extraction Guide


NEW QUESTION # 20
You would like to highlight the deviation from predefined threshold values for a key figure visualize it in SAP Analysis for Microsoft Office. Which BW query feature do you use?

  • A. Formula cell
  • B. Condition
  • C. Exception
  • D. Key figure property

Answer: C

Explanation:
To highlight deviations from predefined threshold values for a key figure in SAP Analysis for Microsoft Office, theExceptionfeature of BW queries is used. Exceptions allow you to define visual indicators (e.g., color coding) based on specific conditions or thresholds for key figures. This makes it easier for users to identify outliers or critical values directly in their reports.
* Threshold-Based Highlighting:Exceptions enable you to define rules that compare key figure values against predefined thresholds. For example, you can set a rule to highlight values greater than 100 in red or less than 50 in green.
* Dynamic Visualization:Once defined in the BW query, exceptions are automatically applied in reporting tools like SAP Analysis for Microsoft Office. The visual indicators (e.g., cell background colors) dynamically adjust based on the data retrieved during runtime.
* User-Friendly Design:Exceptions are configured in the BEx Query Designer or BW Modeling Tools and do not require additional programming or scripting. This makes them accessible to business users and analysts.
* Formula Cell (Option A):Formula cells are used to calculate derived values or perform custom calculations in a query. While they can manipulate data, they do not provide a mechanism to visually highlight deviations based on thresholds.
* Key Figure Property (Option C):Key figure properties define the behavior of key figures (e.g., scaling, aggregation). They do not include functionality for conditional formatting or visual highlighting.
* Condition (Option D):Conditions are used to filter data in a query based on specific criteria. While conditions can restrict the data displayed, they do not provide visual indicators for deviations or thresholds.
* Open the BW query in the BEx Query Designer or BW Modeling Tools.
* Navigate to the "Exceptions" section and define the threshold values (e.g., greater than, less than, equal to).
* Assign visual indicators (e.g., colors) to each threshold range.
* Save and activate the query.
* Use the query in SAP Analysis for Microsoft Office, where the exceptions will automatically apply to the relevant key figures.
* SAP BW/4HANA Query Design Guide:This guide provides detailed instructions on configuring exceptions and other query features to enhance reporting capabilities.
* Link:SAP BW/4HANA Documentation
* SAP Note 2484976 - Best Practices for Query Design in SAP BW/4HANA:This note highlights the importance of using exceptions for visualizing critical data points and improving user experience in reporting tools like SAP Analysis for Microsoft Office.
Key Features of Exceptions:Why Other Options Are Incorrect:How to Implement Exceptions:References to SAP Data Engineer - Data Fabric:By usingExceptions, you can effectively visualize deviations from predefined thresholds, enabling faster decision-making and better insights into your data.


NEW QUESTION # 21
......

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