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C-BW4H-2404 Valid Torrent - C-BW4H-2404 Exam Certification Cost

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SAP C-BW4H-2404 Exam Syllabus Topics:

Topic
Details

Topic 1

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

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

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.

Topic 4

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

Topic 5

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

Topic 6

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

SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q26-Q31):

NEW QUESTION # 26
You created an Open ODS view of type Facts.
With which object types can you associate a field in the Characteristics folder? Note: There are 2 correct answers to this question.

A. Open ODS view of type Master Data
B. HDI Calculation View of data category Dimension
C. Open ODS view of type Facts
D. InfoObject of type Characteristic

Answer: A,D

NEW QUESTION # 27
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. Key figure property
B. Exception
C. Condition
D. Formula cell

Answer: B

NEW QUESTION # 28
You have an existing field-based data flow that follows the layered scalable architecture (LSA++) concept. To meet a new urgent business requirement for field you want to leverage a hierarchy of an existing characteristic without changing the transformation.
How can you achieve this? Note: There are 2 correct answers to this question.

A. Associate the field with the characteristic in the CompositeProvider
B. Add the characteristic to the DataStore object (advanced)
C. Associate the field with the characteristic in the Open ODS View
D. Assign hierarchy properties to the field in the BW Query

Answer: A,B

NEW QUESTION # 29
Which feature of a DataStore object (advanced) should be made available to improve the performance for data analysis?

A. Snapshot Support
B. Partitioning
C. ChangeLog
D. Inventory Management

Answer: B

Explanation:
* DataStore Object (Advanced): In SAP BW/4HANA, a DataStore Object (advanced) is a flexible data storage object that supports both staging and reporting. It allows for detailed data storage and provides advanced features like partitioning, compression, and snapshot support.
* Partitioning: Partitioning divides large datasets into smaller, manageable chunks based on specific criteria (e.g., time-based or value-based). This improves query performance by reducing the amount of data scanned during analysis.
* Snapshot Support: This feature allows periodic snapshots of data to be stored in the DataStore Object (advanced). While useful for historical analysis, it does not directly improve query performance.
* Inventory Management: This is unrelated to performance optimization in the context of data analysis.
* ChangeLog: The ChangeLog stores delta records for incremental updates. While important for data loading, it does not directly enhance query performance.
Key Concepts:Why Partitioning Improves Performance:Partitioning is a well-known technique in database management systems to optimize query performance. By dividing the data into partitions, queries can focus on specific subsets of data rather than scanning the entire dataset. For example:
* Time-based partitioning (e.g., by year or month) allows queries to target only relevant time periods.
* Value-based partitioning (e.g., by region or category) enables faster filtering of data.
In SAP BW/4HANA, enabling partitioning for a DataStore Object (advanced) significantly enhances the performance of data analysis by reducing I/O operations and improving parallel processing capabilities.
* A. Snapshot Support: While useful for historical reporting, it does not directly improve query performance.
* C. Inventory Management: This is unrelated to query performance and pertains to managing materialized data.
* D. ChangeLog: This is used for delta handling and does not impact query performance.
* SAP BW/4HANA Documentation: The official documentation highlights partitioning as a key feature for optimizing query performance in DataStore Objects (advanced).
* SAP Best Practices for Performance Optimization: Partitioning is recommended for large datasets to improve query execution times.
* SAP Note on DataStore Object (Advanced): Notes such as 2708497 discuss the benefits of partitioning for performance.
Why Other Options Are Incorrect:References:By enabling partitioning, you can significantly improve the performance of data analysis in a DataStore Object (advanced).

NEW QUESTION # 30
Which modeling decisions may have side effects on runtime performance?Note: There are 3 correct answers to this question.

A. Move a characteristic within a DataMart DataStore object to a different group.
B. Include a characteristic from the underlying DataMart DataStore Object in the CompositeProvider instead of a navigation attribute.
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. Uncheck the "Write change log" property for a Stard DataStore Object.

Answer: B,D,E

Explanation:
* Transitive Attribute (Answer A):
* Using transitive attributes introduces additional joins in queries, increasing complexity and affecting performance.
* Disabling Change Log (Answer B):
* Unchecking the change log property can improve load performance but risks losing data change tracking, which may affect downstream reporting.
* Include Characteristics Directly (Answer E):
* Including a characteristic from the underlying DataMart DataStore object reduces runtime overhead compared to navigating attributes indirectly.
* Move Characteristics (Option C):Moving characteristics within a DataStore object has minimal impact on performance.
* Time-Dependent Attribute (Option D):Changing attributes to time-dependent adds metadata but does not significantly affect runtime performance.
Incorrect Options:References:
* SAP BW/4HANA Performance Optimization Guide

NEW QUESTION # 31
......

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Sean White Sean White

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