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NEW QUESTION # 38
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.
Answer: A,D,E
NEW QUESTION # 39
Which layer of the layered scalable architecture (LSA++) of SAP BW/4HANA is designed as the main storage for harmonized consistent data?
Answer: A
NEW QUESTION # 40
With SAP BW/4HANA, the new HANA-optimized business content is designed according to the LSA++ framework. Which tecnical namespace is assigned to identify the new SAP ERP-related business content?
Answer: B
NEW QUESTION # 41
"How does SAP position SAP Data Warehouse Cloud in supporting business users?"
Answer: A
Explanation:
SAP Data Warehouse Cloud is a cloud-based data service that enables business users to create agile models from different sources and access data in real time. Business users can use the graphical user interface or the SQL editor to create data models, join data from various sources, and enrich data with business semantics. Business users can also use SAP Analytics Cloud to visualize and analyze data from SAP Data Warehouse Cloud. SAP Data Warehouse Cloud supports business users by providing self-service capabilities, pre-built business content, and flexible consumption options. Reference: 123
NEW QUESTION # 42
Which are use cases for sharing an object? Note: There are 3 correct answers to this question.
Answer: B,C,D
Explanation:
Sharing objects is a common requirement in SAP Data Fabric and SAP BW/4HANA environments to ensure reusability, consistency, and efficiency. Below is a detailed explanation of why the correct answers are A, B, and D:
* Correct: Sharing a product dimension view across multiple fact models is a typical use case in data modeling. By reusing the same dimension view, you ensure consistency in how product-related attributes (e.g., product name, category, or hierarchy) are represented across different business segments. This approach avoids redundancy and ensures uniformity in reporting and analytics.
Option A: A product dimension view should be used in different fact models for different business segments
* Correct: Time characteristics, such as fiscal year, calendar year, or week, are often reused across multiple DataStore objects (DSOs) in SAP BW/4HANA. Sharing a single time characteristic ensures that all DSOs use the same time-related definitions, which is critical for accurate time-based analysis and reporting.
Option B: A BW time characteristic should be used across multiple DataStore objects (advanced)
* Incorrect: While source connections can technically be reused in different replication flows, this is not considered a primary use case for "sharing an object" in the context of SAP Data Fabric. Source connections are typically managed at the system level rather than being shared as reusable objects within the data model.
Option C: A source connection needs to be used in different replication flows
* Correct: Centralized time tables are often created in a shared or central space to ensure consistency across different spaces or workspaces in SAP DataSphere. By sharing these tables, you avoid duplicating time-related data and ensure that all dependent models use the same time definitions.
Option D: Time tables are defined in a central space should be used in many other spaces
* Incorrect: While remote tables in the SAP BW bridge space can be accessed across SAP DataSphere core spaces, this is more about cross-space access rather than "sharing an object" in the traditional sense. The focus here is on connectivity rather than reusability.
Option E: Use remote tables located in the SAP BW bridge space across SAP DataSphere core spaces
* SAP DataSphere Documentation: Highlights the importance of centralizing and sharing objects like dimensions and time tables to ensure consistency across spaces.
* SAP BW/4HANA Modeling Guide: Discusses the reuse of time characteristics and dimension views in multiple DSOs and fact models.
* SAP Data Fabric Architecture: Emphasizes the role of shared objects in reducing redundancy and improving data governance.
References to SAP Data Engineer - Data Fabric Concepts
NEW QUESTION # 43
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