C-BW4H-2404 EXAM PRACTICE GUIDE IS HIGHEST QUALITY C-BW4H-2404 TEST MATERIALS

C-BW4H-2404 Exam Practice Guide is Highest Quality C-BW4H-2404 Test Materials

C-BW4H-2404 Exam Practice Guide is Highest Quality C-BW4H-2404 Test Materials

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SAP C-BW4H-2404 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Performance Optimization: This section scrutinizes elements associated with enhancing system efficiency.
Topic 2
  • SAP BW4HANA Project and Modeling Process: In this topic, candidates learn about how to design and implement efficient data models within environment of the SAP BW
  • 4HANA.
Topic 3
  • SAP BW Query Design: This portion encompasses the development and implementation of BW queries in the SAP BW
  • 4HANA environment.
Topic 4
  • Data Governance, Security, and Authorization: This part concentrates on safeguarding assets and information within SAP BW
  • 4HANA and SAP HANA ecosystems.
Topic 5
  • SAP BW
  • 4HANA Project and the Modeling Process: This segment offers direction on orchestrating SAP BW
  • 4HANA initiatives.

SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q44-Q49):

NEW QUESTION # 44
"What are benefits of separating master data from transactional data in SAP BW/4HANA? Note: There are 3 correct answer to this question."

  • A. Reducing the number of data transfer processes
  • B. Avoiding generation of SID values.
  • C. Providing language dependent master data texts.
  • D. Allowing different data load frequency
  • E. Ensuring referential integrity on your transactional data

Answer: C,D,E

Explanation:
Separating master data from transactional data in SAP BW/4HANA has the following benefits:
It allows different data load frequency for master data and transactional data, which can improve the performance and flexibility of data loading processes. For example, master data can be loaded daily or weekly, while transactional data can be loaded hourly or near real-time.
It ensures referential integrity on your transactional data by using SID values that link the transactional data to the master data. This way, the transactional data can be consistent and accurate across different InfoProviders and queries.
It provides language dependent master data texts that can be displayed in different languages according to the user's preference. This way, the master data can be more user-friendly and understandable for different audiences.


NEW QUESTION # 45
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.

  • A. *Import SAP BW bridge objects to the customer space.
    *Create additional views in the customer space to combine data.
  • B. *Import SAP BW bridge objects to the SAP BW bridge space.
    *Share the generated remote tables with the customer space.
    *Create additional views in the customer space to combine data.
  • C. *Import SAP BW bridge objects to the SAP BW bridge space.
    *Create additional views in the customer space.
    *Share the created views with the SAP BW bridge space to combine data.
  • D. *Import objects from the customer space to the SAP BW bridge space.
    *Create additional views in the SAP BW bridge space to combine data.

Answer: A,B

Explanation:
Combining data from SAP BW Bridge and the customer space in SAP Datasphere Core requires careful planning to ensure seamless integration and efficient data access. Let's analyze each option to determine why A and B are correct:
* Explanation:
* Step 1: Importing SAP BW Bridge objects into the SAP BW Bridge space ensures that the data remains organized and aligned with its source.
* Step 2: Sharing the generated remote tables with the customer space allows the customer space to access the data without duplicating it.
* Step 3: Creating additional views in the customer space enables users to combine the shared data with other datasets in the customer space.


NEW QUESTION # 46
Which options do you have when using the remote table feature in SAP Datasphere? Note: There are 3 correct answers to this question.

  • A. Data access can be switched from virtual to persisted but not the other way around.
  • B. Data can be persisted by using real-time replication.
  • C. Data can be accessed virtually by remote access to the source system.
  • D. Data can be loaded using advanced transformation capabilities.
  • E. Data can be persisted in SAP Datasphere by creating a snapshot (copy of data).

Answer: B,C,E


NEW QUESTION # 47
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. An Operational Data Provisioning Framework must be configured in SAP BW/4HANA
  • B. THE ABAP CDS views must be released via program RODPS_OS_EXPOSE for BW extraction
  • C. An ODP source system with contest ODP_CDS must be created in SAP BW/4HANA
  • D. The ABAP CDS views must be defined with the appropriate data extraction annotations

Answer: C,D


NEW QUESTION # 48
What are valid options when using the Data Flow feature of SAP Datasphere? Note: There are 3 correct answers to this question.

  • A. Remote tables can be used as target objects.
  • B. Target mode can be Append Truncate or Delete.
  • C. Python language can be used for complex transformation.
  • D. Data can be combined using Union or Join operators.
  • E. NumPy Pas are automatically converted to SQL script.

Answer: B,C,D

Explanation:
TheData Flowfeature inSAP Datasphere(formerly known as SAP Data Warehouse Cloud) is a powerful tool for designing and executing ETL (Extract, Transform, Load) processes. It allows users to create data pipelines that integrate, transform, and load data into target objects. Below is an explanation of the valid options:
* Explanation: This statement is incorrect. While SAP Datasphere supports advanced transformations using Python, it does not automatically convert libraries likeNumPyinto SQL scripts. Instead, Python scripts are executed as part of the transformation logic, and SQL is used for database operations.


NEW QUESTION # 49
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