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Valid C-BW4H-2505 Exam Vce & Exam C-BW4H-2505 Overview

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SAP C-BW4H-2505 Exam Syllabus Topics:

Topic
Details

Topic 1

SAP Analytics Tools and SAP Analytics Cloud: This section evaluates the skills of SAP Consultants in using tools like SAP Analytics Cloud, Lumira, and Analysis for Office to visualize and interpret data. It focuses on the consultant’s ability to apply business intelligence tools within the SAP ecosystem.

Topic 2

Data Acquisition into SAP BW
4HANA: This section tests how Data Engineers manage data integration into SAP BW
4HANA from multiple sources. It covers essential knowledge of tools and processes used for data extraction, transformation, and loading into the SAP environment.

Topic 3

InfoObjects and InfoProviders:This section tests the knowledge of Data Engineers in working with InfoObjects and InfoProviders in SAP BW
4HANA. It involves handling data structures used for organizing, storing, and accessing analytical data.

Topic 4

SAP BW
4HANA Modeling:This section targets the skills of Data Engineers in selecting appropriate modeling options and applying best practices like LSA++ within SAP BW
4HANA. It focuses on designing scalable, high-performing data models.

Topic 5

SAP BW
4HANA Project and the Modeling Process:This section of the exam assesses how Data Engineers guide and contribute to SAP BW
4HANA projects. It includes knowledge of modeling workflows, project lifecycle stages, and collaboration strategies within project teams.

Topic 6

SAP BW Query Design: This section of the exam assesses the ability of Data Engineers to create and run queries using SAP BW
4HANA. It evaluates how well candidates can work with query components to retrieve and structure data effectively for reporting and analysis.

Topic 7

Data Acquisition into SAP HANA: This section evaluates the capacity of SAP Consultants to integrate various data sources into SAP HANA. It assesses their ability to understand different ingestion techniques and ensure data accessibility for processing.

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SAP Certified Associate - Data Engineer - SAP BW/4HANA Sample Questions (Q19-Q24):

NEW QUESTION # 19
For which scenarios do you use the SAP HANA model focus? Note: There are 2 correctanswers to this question.

A. Define ABAP Managed Database Procedures in data flows.
B. Load snapshots using ABAP CDS Views.
C. Define calculations using geospatial functions.
D. Build views procedures using SQL script.

Answer: C,D

NEW QUESTION # 20
What are the main challenges companies face that want to make data-driven decisions?Note: There are 3 correctanswers to this question.

A. Harness the power of fragmented, unstructured data sources to turn them into valuable business insights.
B. Uncever the hidden potential in their business by unlocking seamless access to critical insights.
C. Simplify the data landscape to reduce costs and accelerate insights.
D. Unlock a new dimension of insights, advanced analytics, and Al capabilities.
E. Boost confidence in the quality of their data

Answer: A,B,E

NEW QUESTION # 21
Why should you run an SAP HANA delta merge?Note: There are 2 correctanswers to this question.

A. To combine the query cache from different executions
B. To decrease memory consumption
C. To move the most recent data from disk to memory
D. To improve the read performance of InfoProviders

Answer: B,D

NEW QUESTION # 22
Which modeling decisions may have side effects on runtime performance? Note: There are 3 correct answers to this question.

A. Include a characteristic from the underlying DataMart DataStore Object in the CompositeProvider instead of a navigation attribute.
B. Uncheck the "Write change log" property for a Stard DataStore Object.
C. Change a time-independent attribute of a characteristic to a time-dependent attribute.
D. Use a transitive attribute instead of an attribute that is directly assigned to a characteristic.
E. Move a characteristic within a DataMart DataStore object to a different group.

Answer: A,B,D

Explanation:
When modeling data in SAP BW/4HANA, certain decisions can have significant side effects on runtime performance. Let's analyze each option:
* Option A: Use a transitive attribute instead of an attribute that is directly assigned to a characteristic.
Transitive attributes are derived attributes that depend on other attributes in the data model. Using a transitive attribute instead of a directly assigned attribute introduces additional complexity during query execution because the system must calculate the value dynamically based on the underlying relationships. This can lead to slower query performance, especially for large datasets.
* Option B: Uncheck the "Write change log" property for a Standard DataStore Object.Disabling the
"Write change log" property improves performance rather than degrading it. By not writing changes to the change log, the system reduces the overhead associated with tracking historical data. Therefore, this decision does not negatively impact runtime performance.
* Option C: Move a characteristic within a DataMart DataStore object to a different group.Moving a characteristic to a different group within a DataMart DataStore Object primarily affects the logical organization of data but does not directly impact runtime performance. The physical storage and query execution remain unaffected by such changes.
* Option D: Change a time-independent attribute of a characteristic to a time-dependent attribute.
Converting a time-independent attribute to a time-dependent one introduces additional complexity into the data model. Time-dependent attributes require the system to manage multiple versions of the attribute over time, which increases the volume of data and the computational effort required for queries. This can significantly degrade runtime performance, especially for queries involving large datasets or frequent updates.
* Option E: Include a characteristic from the underlying DataMart DataStore Object in the CompositeProvider instead of a navigation attribute.Including a characteristic directly from the underlying DataMart DataStore Object in the CompositeProvider can improve performance compared to using a navigation attribute. Navigation attributes require additional joins during query execution, which can slow down performance. However, if the question implies replacing a navigation attribute with a direct characteristic, this decision can have positive performance implications. Conversely, if the reverse is implied (using navigation attributes instead of direct characteristics), it would degrade performance.
References:SAP BW/4HANA Modeling Guide: Explains the impact of transitive attributes, time-dependent attributes, and navigation attributes on query performance.
SAP Help Portal: Provides detailed documentation on best practices for optimizing data models in SAP BW
/4HANA.
SAP Community Blogs: Experts often discuss the performance implications of various modeling decisions in real-world scenarios.
In summary, options A, D, and E involve modeling decisions that can negatively impact runtime performance due to increased computational complexity or additional joins during query execution.

NEW QUESTION # 23
You notice that an SAP ERP ODP_SAP DataSource is delivering incorrect values into the first persistent data layer in SAP BW/4HANWhich options do you have to analyze a potential extractor issue? Note: There are 2 correctanswers to this question.

A. Use the transaction RSA3 (Extractor checker) in SAP ERP.
B. Check entries in the table RSDDSTATEXTRACT in SAP ERP.
C. Use the program RODPS_REPL_TEST in SAP ERP.
D. Use the transaction ODQMON (Monitor Delta Queues) in SAP BW/4HANA.

Answer: A,C

Explanation:
SAP BW/4HANA Project and Modeling Process

NEW QUESTION # 24
......

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