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Title: SAP C-BW4H-2505 Exam Syllabus Topics [Print This Page]
Author: purloi.namwuj@g    Time: 7 day before
Title: SAP C-BW4H-2505 Exam Syllabus Topics
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SAP C-BW4H-2505 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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 3
  • SAP BW
  • 4HANA Data Flow: This section of the exam measures the practical ability of SAP Consultants to load data within the SAP BW
  • 4HANA environment. It assesses familiarity with data movement and transformation processes across different layers of the system.
Topic 4
  • 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 5
  • 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 6
  • Fundamentals: This section of the exam measures the foundational understanding of SAP Consultants and covers essential terms and concepts related to SAP BW
  • 4HANA and SAP Business Data Cloud. It focuses on the core framework and architecture necessary to navigate and work with these platforms.

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SAP Certified Associate - Data Engineer - SAP BW/4HANA Sample Questions (Q32-Q37):NEW QUESTION # 32
For a report, you would like to highlight the deviation from predefined threshold values for a key figure.
Which BW query feature do you use?
Answer: B

NEW QUESTION # 33
What are prerequisites for S-API Extractors to load data directly into SAP Datasphere core tenant using delta mode? Note: There are 2 correct answers to this question.
Answer: B,D
Explanation:
To load data directly into SAP Datasphere (formerly known as SAP Data Warehouse Cloud) core tenant using delta mode via S-API Extractors, certain prerequisites must be met. Lets evaluate each option:
* Option A: Real-time access needs to be enabled.Real-time access is not a prerequisite for delta mode loading. Delta mode focuses on incremental data extraction and loading, which does not necessarily require real-time capabilities. Real-time access is more relevant for scenarios where immediate data availability is critical.
* Option B: A primary key needs to exist.A primary key is essential for delta mode loading because it uniquely identifies records in the source system. Without a primary key, the system cannot determine which records have changed or been added since the last extraction, making delta processing impossible.
* Option C: Extractor must be based on a function module.While many S-API Extractors are based on function modules, this is not a strict requirement for delta mode loading. Extractors can also be based on other mechanisms, such as views or tables, as long as they support delta extraction.
* Option D: Operational Data Provisioning (ODP) must be enabled.ODP is a critical prerequisite for delta mode loading. It provides the infrastructure for managing and extracting data incrementally from SAP source systems. Without ODP, the system cannot track changes or deltas effectively, making delta mode loading infeasible.
References:SAP Datasphere Documentation: Outlines the prerequisites for integrating data from SAP source systems using delta mode.
SAP Help Portal: Provides detailed information on S-API Extractors and their requirements for delta processing.
SAP Best Practices for Data Integration: Highlights the importance of primary keys and ODP in enabling efficient delta extraction.
In conclusion, the two prerequisites for S-API Extractors to load data into SAP Datasphere core tenant using delta mode are the existence of aprimary keyand the enabling ofOperational Data Provisioning (ODP).

NEW QUESTION # 34
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.
Answer: C,D
Explanation:
Extracting data from SAP S/4HANA ABAP CDS (Core Data Services) views into SAP BW/4HANA using the Operational Data Provisioning (ODP) framework requires specific prerequisites. These ensure that the CDS views are properly exposed and accessible for extraction. Below is a detailed explanation of why the verified answers are correct.
* ABAP CDS Views:ABAP CDS views are reusable data models defined in SAP S/4HANA. They provide a semantic layer for querying data and can be used for reporting and analytics.
* Operational Data Provisioning (ODP):ODP is a framework in SAP BW/4HANA that enables real-time or near-real-time data extraction from various source systems, including SAP S/4HANA.
* ODP Contexts:ODP contexts define the type of source system and data extraction method. For CDS views, the contextODP_CDSis used.
* Data Extraction Annotations:Annotations in CDS views specify metadata for extraction purposes, such as field properties and extraction behavior.
Key Concepts:
* Option A: The ABAP CDS views must be released through the program RODPS_OS_EXPOSE for BW extraction.
* Why Correct?To make an ABAP CDS view available for extraction via ODP, it must be explicitly released using the programRODPS_OS_EXPOSE. This step registers the view in the ODP framework and makes it accessible to SAP BW/4HANA.
* Option B: The Operational Data Provisioning Framework must be configured in SAP BW/4HANA.
* Why Incorrect?While configuring the ODP framework is a general prerequisite for any ODP- based extraction, it is not specific to extracting ABAP CDS views. This option is too broad to be considered a direct prerequisite.
* Option C: An ODP source system with context ODP_CDS must be created in SAP BW/4HANA.
* Why Correct?To extract data from ABAP CDS views, you must create an ODP source system in SAP BW/4HANA with the contextODP_CDS. This context specifies that the source system provides data from CDS views.
* Option D: The ABAP CDS views must be defined with the appropriate data extraction annotations.
* Why Incorrect?While annotations are important for defining metadata in CDS views, they are not mandatory for ODP-based extraction. The primary requirement is releasing the view using RODPS_OS_EXPOSE.
Verified Answer Explanation:
* SAP BW/4HANA Extraction Guide:The guide outlines the steps for extracting data from ABAP CDS views using the ODP framework, including the use ofRODPS_OS_EXPOSEand the creation of an ODP source system.
* SAP Note 2700850:This note provides detailed instructions on releasing CDS views for BW extraction and configuring the ODP framework.
* SAP Best Practices for ODP Extraction:SAP recommends using theODP_CDScontext for extracting data from ABAP CDS views and emphasizes the importance of releasing views using RODPS_OS_EXPOSE.
SAP Documentation and References:

NEW QUESTION # 35
For which reasons should you run an SAP HANA delta merge? Note: There are 2 correct answers to this question.
Answer: B,C
Explanation:
In SAP HANA, thedelta mergeoperation is a critical process for managing data storage and optimizing query performance. It is particularly relevant in columnar storage systems like SAP HANA, where data is stored in two parts: themain storage(optimized for read operations) and thedelta storage(optimized for write operations). The delta merge operation moves data from the delta storage to the main storage, ensuring efficient data management and improved query performance.
* To Decrease Memory Consumption (A):The delta storage holds recent changes (inserts, updates, deletes) in a row-based format, which is less memory-efficient compared to the columnar format used in the main storage. Over time, as more data accumulates in the delta storage, it can lead to increased memory usage. Running a delta merge moves this data into the main storage, which is compressed and optimized for columnar storage, thereby reducing overall memory consumption.
* To Improve the Read Performance of InfoProviders (D)ueries executed on SAP HANA tables or InfoProviders (such as ADSOs, CompositeProviders, or BW queries) benefit significantly from data being stored in the main storage. The main storage is optimized for read operations due to its columnar structure and compression techniques. When data resides in the delta storage, queries must access both the delta and main storage, which can degrade performance. By running a delta merge, all data is consolidated into the main storage, improving read performance for reporting and analytics.
Why Run an SAP HANA Delta Merge?
* To Combine the Query Cache from Different Executions (B):This is incorrect because the delta merge operation does not involve the query cache. The query cache in SAP HANA is a separate mechanism that stores results of previously executed queries to speed up subsequent executions. The delta merge focuses solely on moving data between delta and main storage and does not interact with the query cache.
* To Move the Most Recent Data from Disk to Memory (C):This is incorrect because SAP HANAhttps://drive.google.com/open?id ... No2j1Kyx2ITrQajU9Yp
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