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SAP C_BW4H_2404 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	SAP BW 4HANA Project and the Modeling Process: This segment offers direction on orchestrating SAP BW 4HANA initiatives.
Topic 3	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 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.
Topic 5	Fundamentals: This portion explores key terminologies, principles, and benefits of SAP BW 4HANA built on SAP HANA technology.

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SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q66-Q71):

NEW QUESTION # 66
Which recommendations should you follow to optimize BW query performance? Note: There are 3 correct answers to this question.

A. Create linked components.
B. Use matory characteristic value variables.
C. Include fewer drill-down characteristics in the initial view.
D. Use the dereference option for reusable filters.
E. Use the include mode within filter restrictions.

Answer: B,C,E

NEW QUESTION # 67
For what reasons is the start process a special type of process in a process chain? Note: There are 2 correct answers to this question.

A. It can be a successor to another process.
B. Only one start process is allowed for each process chain.
C. It is the only process that can be scheduled without a predecessor.
D. It can be embedded in a Meta chain.

Answer: B,C

Explanation:
* Single Start Process (Answer A):
* A process chain can have only one start process, ensuring a clear entry point for execution.
* Schedule Without Predecessor (Answer D):
* The start process is unique in that it does not require a predecessor, allowing it to initiate the process chain directly.
* Embedded in a Meta Chain (Option B):Any process can be embedded in a meta chain.
* Successor Process (Option C):The start process cannot have a predecessor by design.
Incorrect Options:References:
* SAP Help Portal - Process Chains Overview
* SAP BW/4HANA Process Chain Documentation

NEW QUESTION # 68
Which are use cases for sharing an object? Note: There are 3 correct answers to this question.

A. A source connection needs to be used in different replication flows.
B. A product dimension view should be used in different fact models for different business segments.
C. A BW time characteristic should be used across multiple DataStore objects (advanced).
D. Time tables are defined in a central space should be used in many other spaces.
E. Use remote tables located in the SAP BW bridge space across SAP DataSphere core spaces.

Answer: A,B,E

Explanation:
A. Reusing product dimension view:
* Sharing dimensions ensures consistency across fact models for multiple business segments.
C. Reusing source connections in replication flows:
* A shared source connection enables efficient use across multiple replication flows, reducing redundancy.
E. Using remote tables in SAP BW bridge space:
* Shared access to remote tables across core spaces enhances data federation and integration.
References:SAP Datasphere object sharing use cases (SAP Help Portal).

NEW QUESTION # 69
You create an SAP HANA HDI Calculation View.
What are some of the reasons to choose the data category Cube with Star Join instead of data category Dimension? Note: There are 3 correct answers to this question.

A. You can persist transactional data.
B. You can combine master data transactional data.
C. You can aggregate measures as a sum.
D. You can provide default time characteristics.
E. You can create restricted columns.

Answer: A,B,C

Explanation:
* Cube with Star Join Data Category:
* Used for combining and analyzing transactional and master data with enhanced reporting capabilities.
* Key Advantages:
* Combine Data (Answer A):Combines master and transactional data in a star schema.
* Persist Data (Answer B):Supports the persistence of transactional data.
* Aggregate Measures (Answer E):Enables aggregations like summing measures for analytical reporting.
* Default Time Characteristics (Option C):Not specifically tied to the Cube with Star Join.
* Restricted Columns (Option D):Restricted columns can be created in other data categories as well.
Incorrect Options:References:
* SAP HANA HDI Calculation View Documentation

NEW QUESTION # 70
Which join types can you use in a Composite Provider? Note: There are 3 correct answers to this question.

A. Inner join
B. Full Outer join
C. Referential join
D. Temporal hierarchy join
E. Text join

Answer: A,C,E

Explanation:
In SAP Data Engineer - Data Fabric, specifically within the context of Composite Providers in SAP BW
/4HANA, there are specific types of joins that can be utilized to combine data from different sources effectively. Let's break down each join type mentioned in the question:
* Text Join (A):A text join is used when you need to include descriptive texts (like descriptions for codes) in your query results. This join type connects a primary table with a text table based on language- specific attributes. It ensures that textual information is appropriately linked and displayed alongside the main data. This is particularly useful in scenarios where reports or queries require human-readable descriptions.
* Temporal Hierarchy Join (B):Temporal hierarchy joins are not supported in Composite Providers.
These types of joins are typically used in other contexts within SAP systems, such as when dealing with time-dependent hierarchies in Advanced DataStore Objects (ADSOs) or other temporal data models.
However, they do not apply to Composite Providers.
* Full Outer Join (C):Full outer joins are not available in Composite Providers. Composite Providers primarily support inner joins, referential joins, and text joins. The full outer join, which includes all records when there is a match in either left or right table, is not part of the join options within this specific context.
* Referential Join (D):Referential joins are optimized joins that assume referential integrity between the tables involved. This means that the system expects all relevant entries in one table to have corresponding entries in the other. If this condition is met, referential joins can significantly improve query performance by reducing the amount of data processed. They are commonly used in Composite Providers to efficiently combine data while maintaining performance.
* Inner Join (E):Inner joins are fundamental join types used in Composite Providers. They return only the records that have matching values in both tables being joined. This is one of the most frequently used join types due to its straightforward nature and effectiveness in combining related datasets.
* SAP BW/4HANA Documentation: The official documentation outlines the capabilities and limitations of Composite Providers, including the types of joins supported.
* SAP Help Portal: Provides detailed explanations and examples of how different join types function within SAP BW/4HANA environments.
* SAP Community Blogs & Forums: Discussions and expert insights often highlight practical use cases and best practices for implementing various join types in Composite Providers.
References:By understanding these join types and their applications, data engineers can design efficient and effective data models within the SAP Data Engineer - Data Fabric framework, ensuring optimal performance and accurate data representation.

NEW QUESTION # 71
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LATEST C_BW4H_2404 EXAM BRAINDUMPS MATERIALS - C_BW4H_2404 TEST PREP - PREP4PASS

Latest C_BW4H_2404 Exam Braindumps Materials - C_BW4H_2404 Test Prep - Prep4pass