Use Real C-BCBDC-2505 - 100% Cover Real Exam Questions [May-2026]
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NEW QUESTION # 21
What are some features of the out-of-the-box reporting with intelligent applications in SAP Business Data Cloud? Note: There are 2 correct answers to this question.
- A. Services for transforming and enriching data
- B. Manual creation of artifacts across all involved components
- C. Automated data provisioning from business application to dashboard
- D. AI-based suggestions for intelligent applications in the SAP Business Data Cloud Cockpit
Answer: A,C
Explanation:
The out-of-the-box reporting capabilities with intelligent applications in SAP Business Data Cloud (BDC) are designed to streamline the analytical process and deliver immediate value. Two significant features include automated data provisioning from business application to dashboard. This means that intelligent applications handle the end-to-end flow of data, from its source in operational systems, through processing in BDC, and finally to visualization in dashboards, with minimal manual intervention. This automation ensures timely and consistent data delivery for reporting. Additionally, these intelligent applications leverage services for transforming and enriching data. As part of the pre-built logic within these applications, data is automatically transformed (e.g., aggregated, filtered) and enriched (e.g., adding calculated KPIs, combining with master data) to make it immediately suitable for reporting and analysis. This reduces the need for manual data manipulation by users, providing ready-to-consume insights.
NEW QUESTION # 22
Which component of SAP Business Data Cloud allows for the creation of data models?
Please choose the correct answer.
Response:
- A. Data Marketplace
- B. Data Monitor
- C. Data Builder
- D. Data Catalog
Answer: C
NEW QUESTION # 23
A company wants to enable self-service data access for analysts while maintaining centralized control over source data. Which SAP Business Data Cloud capabilities help meet these requirements?
There are 3 correct answers to this question.
Response:
- A. Data replication via CSV uploads
- B. Business Builder for semantic modeling
- C. Remote table access to avoid duplication
- D. Role-based access management
- E. Exporting data to Excel for distribution
Answer: B,C,D
NEW QUESTION # 24
For a model in SAP Analytics Cloud you are using a live connection. Where is the data stored?
- A. Embedded dataset
- B. Source system
- C. SAP Analytics Cloud model
- D. Public dataset
Answer: B
Explanation:
When an SAP Analytics Cloud (SAC) model utilizes a live connection, the data is not stored within SAP Analytics Cloud itself. Instead, the data resides entirely in the source system. This means that SAC directly queries the data from the connected system (e.g., SAP HANA, SAP BW, SAP S/4HANA, or SAP Datasphere) in real-time every time a user interacts with the story or application. Only metadata, such as dimension definitions and measure aggregations, is stored in SAC. This approach offers several significant advantages: it ensures that users always work with the most current data, eliminates the need for data replication, and often addresses data privacy and security concerns by keeping sensitive data within the customer's secure landscape. The "live" nature means that any changes in the source system are immediately reflected in SAC.
NEW QUESTION # 25
In SAP Analytics Cloud, into which elements can you import data?
There are 3 correct answers to this question.
Response:
- A. Dimensions
- B. Stories
- C. Datasets
- D. Models
Answer: A,C,D
NEW QUESTION # 26
You have created a story using a planning model and notice that a Value Driver Tree can be defined. Why do you use a Value Driver Tree?
There are 2 correct answers to this question.
Response:
- A. To view a planning simulation graphically
- B. To lock planning data
- C. To track planning tasks
- D. To leverage driver-based planning
Answer: A,D
NEW QUESTION # 27
When you are scheduling, to how many non-SAP Analytics Cloud recipients can you distribute?
Please choose the correct answer.
Response:
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION # 28
You need to export some data from your story into a .csv file. What do you do?
Please choose the correct answer.
Response:
- A. From the File area of the menu bar, choose Save as and change the file type to CSV.
- B. From the File area of the menu bar, choose Export.
- C. Choose a widget that displays data and use its More Actions menu.
Answer: C
NEW QUESTION # 29
What source system can you connect to with an SAP Analytics Cloud live connection that is provided by SAP BDC?
- A. SAP ERP
- B. SAP Business ByDesign Analytics
- C. SAP SuccessFactors
- D. SAP Datasphere
Answer: D
Explanation:
Within the context of SAP Business Data Cloud (BDC), the primary and most central source system for an SAP Analytics Cloud (SAC) live connection is SAP Datasphere. SAP Datasphere serves as the comprehensive data foundation for SAP's business data fabric, integrating data from various SAP and non-SAP sources, and providing a harmonized, semantically rich data layer. SAP BDC is built upon and extends the capabilities of SAP Datasphere, making it the strategic hub for analytics and data management. Therefore, to ensure data consistency, governance, and real-time access to the integrated and harmonized business data managed within the BDC ecosystem, SAP Datasphere is the recommended and primary live connection source for SAC. While SAC can connect to other SAP systems like S/4HANA or BW, within the specific architecture of SAP BDC, SAP Datasphere plays the pivotal role as the integrated data platform.
NEW QUESTION # 30
Which benefits does SAP Business Data Cloud provide for ensuring data transparency?
There are 2 correct answers to this question.
Response:
- A. Data Lineage
- B. Version history of data artifacts
- C. Role-based visualizations
- D. Manual SQL scripts only
Answer: A,B
NEW QUESTION # 31
Your users need a story where the pages adjust the size and location of the elements on the page depending on the device, or size of device, being used to view the story. What page type should you use?
Please choose the correct answer.
Response:
- A. Responsive
- B. Grid
- C. Canvas
Answer: A
NEW QUESTION # 32
Which SAP Analytics Cloud feature uses natural language processing?
- A. Data analyzer
- B. Just Ask feature
- C. Smart insight
- D. Digital boardroom
Answer: B
Explanation:
The "Just Ask" feature in SAP Analytics Cloud (SAC) is a prime example of its integration with natural language processing (NLP). This innovative AI-powered capability allows users to interact with their data by simply typing questions in plain, everyday language, rather than needing to navigate complex menus or understand underlying data structures. For instance, a user might type "Show me sales by region for the last quarter," and "Just Ask" will interpret this query, identify relevant dimensions and measures, and automatically generate an appropriate visualization or insight. This significantly democratizes data analysis, making it accessible to a wider audience, including business users who may not have extensive technical skills. By leveraging NLP, "Just Ask" bridges the gap between human language and data queries, transforming how users discover and consume insights within SAC, ultimately accelerating decision-making.
NEW QUESTION # 33
What are the data sources for Data Analyzer?
Please select all the correct answers that apply.
Response:
- A. SAP HANA Live Views
- B. SAP BW Queries
- C. SAP Analytics Cloud Models
- D. Microsoft Excel files
- E. SAP Datasphere
- F. CSV files
Answer: A,B,C,E
NEW QUESTION # 34
Which security features are inherent in SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:
- A. Built-in antivirus software
- B. Role-based access control
- C. Data encryption at rest
- D. Social media integration
Answer: B,C
NEW QUESTION # 35
When scheduling a publication, what are the two file type options?
There are 2 correct answers to this question.
Response:
- A. .pdf
- B. .pptx
- C. .txt
- D. .csv
Answer: A,B
NEW QUESTION # 36
How can you join two existing artifacts in SAP Datasphere? Note: There are 2 correct answers to this question.
- A. Create a graphical view and select the Join node icon.
- B. Create an SQL view with a JOIN operation.
- C. Create a graphical view, drag an artifact to the canvas, and the second one on top of the first one.
- D. Create an Analytic Model based on the first artifact and add the second artifact as the Used in property.
Answer: A,B
Explanation:
In SAP Datasphere, there are distinct methods for joining two existing artifacts, enabling powerful data integration. One common and intuitive approach is to create a graphical view and select the Join node icon (B). In the graphical view editor, you can drag your source artifacts (tables or views) onto the canvas, and then use the dedicated "Join" node to define the join conditions between them, visually mapping the columns and selecting the join type (e.g., inner, left outer). This method is highly visual and user-friendly. Another powerful and flexible way to join artifacts is to create an SQL view with a JOIN operation (C). For users comfortable with SQL, an SQL view allows for direct coding of complex join conditions, including various join types and advanced filtering, offering fine-grained control over the data integration logic. Both methods achieve the goal of combining data from multiple artifacts into a single result set, tailored to different user preferences and complexity requirements.
NEW QUESTION # 37
What are the styles of models?
There are 2 correct answers to this question.
Response:
- A. On-premise
- B. Analytic
- C. Planning
- D. Live
Answer: B,C
NEW QUESTION # 38
Which of the following data source objects can be used for an SAP Datasphere Replication Flow? Note: There are 2 correct answers to this question.
- A. ABAP CDS view
- B. Oracle database table
- C. MS Azure SQL table
- D. Google Big Query dataset
Answer: A,B
Explanation:
SAP Datasphere Replication Flows are designed for efficient and continuous data transfer from source systems into Datasphere. For these flows, specific types of data source objects are supported to ensure robust and reliable replication. Two common and highly supported data source objects are an ABAP CDS view (Core Data Services view) and an Oracle database table. ABAP CDS views are particularly relevant for replicating data from SAP source systems (like SAP S/4HANA or SAP ERP), as they provide a semantically rich and optimized way to access business data. Oracle database tables represent a broad category of third-party relational databases from which data can be replicated. While Datasphere offers connectivity to various cloud data warehouses like Google BigQuery or MS Azure SQL for virtual access or snapshotting, Replication Flows are typically used for continuous, high-volume data ingestion from operational databases and SAP systems using their native database tables or views like CDS views.
NEW QUESTION # 39
What can help prevent data input for invalid member combinations across dimensions?
Please choose the correct answer.
Response:
- A. Validation Rules
- B. Data Locking
- C. Data Actions
Answer: A
NEW QUESTION # 40
Which semantic usage type does SAP recommend you use in an SAP Datasphere graphical view to model master data?
- A. Analytical Dataset
- B. Dimension
- C. Fact
- D. Relational Dataset
Answer: B
Explanation:
When modeling master data within an SAP Datasphere graphical view, SAP strongly recommends using the Dimension semantic usage type. Master data, such as customer information, product details, or organizational hierarchies, provides context and descriptive attributes for transactional data. Marking a view as a "Dimension" explicitly signals to downstream consumption tools (like SAP Analytics Cloud) and other Datasphere models that this view contains descriptive attributes that can be used for filtering, grouping, and providing context to analytical queries. This semantic tagging ensures that the data is interpreted and utilized correctly in analytical scenarios, distinguishing it from "Fact" data (which represents transactional measures) or "Relational Dataset" (a more generic type without specific analytical semantics). Using the "Dimension" semantic usage type aligns with best practices for building robust and understandable data models for analytics.
NEW QUESTION # 41
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