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SAP Certified Associate - Data Engineer - SAP BW/4HANA Sample Questions (Q80-Q85):

NEW QUESTION # 80
How does SAP position SAP Datasphere in supporting business users? Note: There are 3 correct answers to this question.

A. Business users can leverage embedded analytic Fiori apps for data analysis.
B. Business users can create restricted calculated columns based on existing models.
C. Business users can allocate system resources without IT involvement.
D. Business users can create agile models from different sources.
E. Business users can upload their own CSV files.

Answer: A,D,E

Explanation:
SAP Datasphere (formerly known as SAP Data Warehouse Cloud) is designed to empower business users by providing self-service capabilities while maintaining governance and scalability. Let's analyze each option to determine why A, B, and E are correct:
* Explanation: SAP Datasphere allows business users to create agile data models by integrating data from various sources, such as on-premise systems, cloud applications, and external datasets. This flexibility enables users to build models that reflect their specific business needs without heavy reliance on IT.
*The platform provides tools like the "Data Builder" and "Space Management" to facilitate the creation of models from diverse data sources. These tools are designed to be user-friendly, enabling business users to work independently.
2. Business users can leverage embedded analytic Fiori apps for data analysis (Option B)Explanation:
SAP Datasphere integrates with SAP Analytics Cloud (SAC) and other analytics tools, allowing business users to leverage embedded Fiori apps for data analysis. These apps provide pre-built dashboards and visualizations, enabling users to perform advanced analytics without requiring technical expertise.
Reference: Embedded analytics in SAP Datasphere supports real-time insights and decision-making, aligning with SAP's vision of empowering business users through intuitive tools.
3. Business users can allocate system resources without IT involvement (Option C)Explanation: While SAP Datasphere provides self-service capabilities, resource allocation (e.g., memory, CPU, storage) is typically managed at the administrative level to ensure optimal performance and governance. Business users do not have direct control over system resources to prevent misuse or over-allocation.
Reference: Resource management in SAP Datasphere is governed by administrators who define quotas and limits for spaces and users. This ensures that the system remains stable and scalable.
4. Business users can create restricted calculated columns based on existing models (Option D) Explanation: Creating restricted calculated columns requires a deeper understanding of data modeling and SQL scripting, which is typically beyond the scope of business users. This task is more suited for data engineers or power users who have technical expertise.
Reference: While SAP Datasphere supports advanced modeling features, these are often used by technical users rather than business users.
5. Business users can upload their own CSV files (Option E)Explanation: SAP Datasphere allows business users to upload CSV files directly into their spaces. This feature enables users to incorporate their own data into the platform for analysis and modeling, fostering agility and collaboration.
Reference: The ability to upload CSV files is part of SAP Datasphere's self-service capabilities, empowering business users to integrate personal or departmental data without IT intervention.

NEW QUESTION # 81
Which SAP BW/4HANA objects can be used as sources of a data transfer process (DTP)? Note: There are 2 correct answers to this question.

A. Open ODS view
B. DataStore Object (advanced)
C. InfoSource
D. CompositeProvider

Answer: B,C

Explanation:
In SAP BW/4HANA, aData Transfer Process (DTP)is used to transfer data between source and target objects.
The source objects for a DTP must be compatible with the DTP's functionality, which includes extracting, transforming, and loading data. Below is an explanation of the correct answers:
A). DataStore Object (advanced)ADataStore Object (advanced)is a flexible and powerful object in SAP BW
/4HANA that stores detailed data for reporting and analysis. It can serve as a source for a DTP because it supports both inbound and outbound data flows. Data from a DataStore Object (advanced) can be extracted, transformed, and loaded into other objects such as another DataStore Object, InfoCube, or Composite Provider.
* The SAP BW/4HANA Modeling Guide confirms that DataStore Objects (advanced) are fully supported as sources for DTPs, enabling seamless data integration.
C). InfoSourceAnInfoSourceacts as an intermediate layer between data sources and targets in SAP BW
/4HANA. It consolidates data from multiple sources and provides a unified structure for data transfer.
InfoSources can be used as sources for DTPs, especially when data needs to be transformed or enriched before being loaded into a target object.
Reference: The SAP BW/4HANA Data Modeling Guide highlights that InfoSources are commonly used as sources for DTPs to facilitate data transformation and consolidation.
Incorrect OptionsB. Open ODS viewAnOpen ODS viewis designed to provide direct access to data stored in SAP HANA tables or external sources. While Open ODS views are useful for real-time reporting and analytics, they cannot serve as direct sources for DTPs. Instead, they are typically consumed by queries or Composite Providers.
Reference: The SAP BW/4HANA Modeling Guide explicitly states that Open ODS views are not supported as sources for DTPs.
D). CompositeProviderACompositeProvidercombines data from multiple sources (e.g., InfoProviders, Open ODS views, or HANA tables) into a unified structure for reporting. However, CompositeProviders are not designed to act as sources for DTPs. They are primarily used for querying and reporting purposes.
Reference: The SAP BW/4HANA Query Design Guide confirms that CompositeProviders are not supported as sources for DTPs.

NEW QUESTION # 82
How can you protect all InfoProviders against displaying their data?

A. By flagging the characteristic 0TCAIPROV as authorization-relevant
B. By flagging all InfoAreas as authorization-relevant
C. By flagging all InfoProviders as authorization-relevant
D. By flagging the characteristic 0INFOPROV as authorization-relevant

Answer: A

Explanation:
To protect all InfoProviders against displaying their data, you need to ensure that access to the InfoProviders is controlled through authorization mechanisms. Let's evaluate each option:
* Option A: By flagging all InfoProviders as authorization-relevantThis is incorrect. While individual InfoProviders can be flagged as authorization-relevant, this approach is not scalable or efficient when you want to protect all InfoProviders. It would require manually configuring each InfoProvider, which is time-consuming and error-prone.
* Option B: By flagging the characteristic 0TCAIPROV as authorization-relevantThis is correct. The characteristic0TCAIPROVrepresents the technical name of the InfoProvider in SAP BW/4HANA. By flagging this characteristic as authorization-relevant, you can enforce access restrictions at the InfoProvider level across the entire system. This ensures that users must have the appropriate authorization to access any InfoProvider.
* Option C: By flagging all InfoAreas as authorization-relevantThis is incorrect. Flagging InfoAreas as authorization-relevant controls access to the logical grouping of InfoProviders but does not provide granular protection for individual InfoProviders. Additionally, this approach does not cover all scenarios where InfoProviders might exist outside of InfoAreas.
* Option D: By flagging the characteristic 0INFOPROV as authorization-relevantThis is incorrect. The characteristic0INFOPROVis not used for enforcing InfoProvider-level authorizations. Instead, it is typically used in reporting contexts to display the technical name of the InfoProvider.
References:SAP BW/4HANA Security Guide: Describes how to use the characteristic 0TCAIPROV for authorization purposes.
SAP Help Portal: Provides detailed steps for configuring authorization-relevant characteristics in SAP BW
/4HANA.
SAP Best Practices for Security: Highlights the importance of protecting InfoProviders and the role of
0TCAIPROV in securing data.
In conclusion, the correct answer isB, as flagging the characteristic0TCAIPROVas authorization-relevant ensures comprehensive protection for all InfoProviders in the system.

NEW QUESTION # 83
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 can be loaded using advanced transformation capabilities.
B. Data can be persisted in SAP Datasphere by creating a snapshot (copy of data).
C. Data access can be switched from virtual to persisted but not the other way around.
D. Data can be accessed virtually by remote access to the source system.
E. Data can be persisted by using real-time replication.

Answer: B,D,E

Explanation:
* BW Bridge Cockpit: The BW Bridge Cockpit is a central interface for managing the integration between SAP BW/4HANA and SAP Datasphere (formerly SAP Data Warehouse Cloud). It provides tools for setting up software components, communication systems, and other configurations required for seamless data exchange.
* Tasks in BW Bridge Cockpit:
* Software Components: These are logical units that encapsulate metadata and data models for transfer between SAP BW/4HANA and SAP Datasphere. Setting them up requires access to the BW Bridge Cockpit.
* Communication Systems: These define the connection details (e.g., host, credentials) for external systems like SAP Datasphere. Creating or configuring these systems is done in the BW Bridge Cockpit.
* Transport Requests: These are managed within the SAP BW/4HANA system itself, not in the BW Bridge Cockpit.
* Source Systems: These are configured in the SAP BW/4HANA system using transaction codes like RSA1, not in the BW Bridge Cockpit.
* A. Create transport requests:This task is performed in the SAP BW/4HANA system using standard transport management tools (e.g., SE09, SE10). It does not require access to the BW Bridge Cockpit.
Incorrect.
* B. Set up Software components:Software components are essential for transferring metadata and data models between SAP BW/4HANA and SAP Datasphere. Setting them up requires access to the BW Bridge Cockpit.Correct.
* C. Create source systems:Source systems are configured in the SAP BW/4HANA system using transaction RSA1 or similar tools. This task does not involve the BW Bridge Cockpit.Incorrect.
* D. Create communication systems:Communication systems define the connection details for external systems like SAP Datasphere. Configuring these systems is a key task in the BW Bridge Cockpit.
Correct.
* B: Setting up software components is a core function of the BW Bridge Cockpit, enabling seamless integration between SAP BW/4HANA and SAP Datasphere.
* D: Creating communication systems is another critical task in the BW Bridge Cockpit, as it ensures proper connectivity with external systems.
References:SAP BW/4HANA Integration Documentation: The official documentation outlines the role of the BW Bridge Cockpit in managing software components and communication systems.
SAP Note on BW Bridge Cockpit: Notes such as 3089751 provide detailed guidance on tasks performed in the BW Bridge Cockpit.
SAP Best Practices for Hybrid Integration: These guidelines highlight the importance of software components and communication systems in hybrid landscapes.
By leveraging the BW Bridge Cockpit, administrators can efficiently manage the integration between SAP BW/4HANA and SAP Datasphere.

NEW QUESTION # 84
You defined a condition in a BW query for the top 10 of 100 customers based on sales revenue.
Using key figure properties in the BW query which two scenarios regarding result presentation can be achieved? Note: There are 2 correct answers to this question.

A. One result row with the sales revenue sum of the top 10 customers a second result row with the sales revenue sum of all 100 customers
B. One result row with the sales revenue sum of all 100 customers
C. One result row with the sales revenue sum of the top 10 customers
D. One result row with the sales revenue sum of the top 10 customers a second result row with the sales revenue sum of the other 90 customers

Answer: C,D

Explanation:
In SAP BW queries, conditions and key figure properties are powerful tools for filtering and aggregating data to meet specific reporting requirements. When defining a condition in a BW query for the top 10 of 100 customers based on sales revenue, you can control how the results are presented by configuring the key figure properties. Below is an explanation of the correct answers:
C). One result row with the sales revenue sum of the top 10 customersThis scenario is achievable by applying aconditionin the BW query to filter for the top 10 customers based on sales revenue. The query will calculate the sum of sales revenue for only those top 10 customers and display it as a single result row. This approach focuses solely on the subset of data that meets the condition.
1: SAP BW/4HANA Query Designer allows users to define conditions (e.g., "Top N" filters) to restrict the dataset displayed in the query. The key figure properties can then be configured to aggregate the filtered data into a single result row.
D). One result row with the sales revenue sum of the top 10 customers a second result row with the sales revenue sum of the other 90 customersThis scenario is also achievable by combining aconditionwith the use ofexception aggregationorresult rowsin the BW query. Here's how it works:
The condition filters the top 10 customers based on sales revenue.
A second calculation is performed to aggregate the sales revenue for the remaining 90 customers (i.e., all customers not included in the top 10).
The query displays two result rows: one for the top 10 customers and another for the remaining 90 customers.
This approach requires careful configuration of key figure properties, such as exception aggregation (e.g., summing values outside the condition), to ensure accurate results.
Reference: SAP BW/4HANA supports advanced result calculations using exception aggregation and result rows. These features are documented in the SAP BW Query Design Guide and are commonly used to achieve detailed breakdowns of data.
Incorrect OptionsA. One result row with the sales revenue sum of all 100 customersThis scenario cannot be achieved directly when a condition is applied to filter for the top 10 customers. Applying a condition inherently restricts the dataset to only those customers that meet the condition (in this case, the top 10).
Therefore, the query will not include the sales revenue of all 100 customers unless the condition is removed.
Reference: Conditions in SAP BW queries are designed to filter data, and their application excludes non- matching records from the result set.
B). One result row with the sales revenue sum of the top 10 customers a second result row with the sales revenue sum of all 100 customersThis scenario is not achievable because the condition limits the dataset to only the top 10 customers. While you can calculate the sum of the top 10 customers, there is no mechanism within the same query to simultaneously calculate the sum of all 100 customers without removing the condition.
Reference: SAP BW queries do not allow overlapping calculations where a condition applies to one part of the dataset while ignoring the condition for another part of the same query.
ConclusionThe two correct scenarios regarding result presentation in this context are:
One result row with the sales revenue sum of the top 10 customers.
One result row with the sales revenue sum of the top 10 customers and a second result row with the sales revenue sum of the other 90 customers.
These scenarios leverage the capabilities of conditions, key figure properties, and exception aggregation in SAP BW queries to provide flexible and meaningful insights into the data.

NEW QUESTION # 85
......

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