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Latest C_BCBDC_2505 Exam Dumps Questions
The dumps for C_BCBDC_2505 exam was last updated on Dec 30,2025 .
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Related to data management, what are some capabilities of SAP Business Data Cloud? Note: There are 2 correct answers to this question.
Explanation: SAP Business Data Cloud (BDC) offers significant capabilities in data management, primarily focusing on creating a unified and actionable data foundation. Two key capabilities are to integrate and enrich customer business data for different analytics use cases. BDC pulls data from various SAP and non-SAP sources, allowing for consolidation and enhancement of this data to provide a comprehensive view for analytical purposes. This includes applying business context and semantic richness. Secondly, a critical capability is to harmonize customer business data across different Line of Business applications. BDC addresses the challenge of disparate data silos by creating a consistent data model and definitions across various operational systems (e.g., ERP, CRM, HR), ensuring that data is understood and used uniformly across the enterprise. While BDC leverages hyperscaler environments, "storing data" is a characteristic of its infrastructure, not a direct capability of data management provided by BDC itself. Delegating integration is an operational choice, not a core capability of the platform.
Which of the following can you do with an SAP Datasphere Data Flow? Note: There are 3 correct answers to this question.
Explanation: An SAP Datasphere Data Flow is a highly versatile and powerful tool for data integration, transformation, and loading. With a Data Flow, you can effectively integrate data from different sources into one table (B). This is a fundamental capability, allowing you to combine data from various tables, views, or even external connections, apply transformations, and consolidate it into a single target table. Another advanced capability is to fill different target tables in parallel (D). Data Flows are designed to handle complex scenarios efficiently, and this parallelism optimizes performance when you need to populate multiple destination tables simultaneously from a single flow. Furthermore, Data Flows support extensibility, allowing you to use a Python script for data transformation (E). This enables advanced, custom data manipulation logic that might not be available through standard graphical operations, providing immense flexibility for complex business rules. Writing data to a different Datasphere tenant (A) is not a direct capability of a Data Flow, and deleting records from a target table (C) is typically handled via specific operations within the target table's management or through SQL scripts rather than a standard data flow write operation.
Which semantic usage type does SAP recommend you use in an SAP Datasphere graphical view to model master data?
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.
Which options do you have when using the remote table feature in SAP Datasphere? Note: There are 3 correct answers to this question.
Explanation: The remote table feature in SAP Datasphere offers significant flexibility in how data from external sources is consumed and managed. Firstly, data can be accessed virtually by remote access to the source system (E). This means Datasphere does not store a copy of the data; instead, it queries the source system in real-time when the data is requested. This ensures that users always work with the freshest data. Secondly, data can be persisted in SAP Datasphere by creating a snapshot (copy of data) (C). This allows users to explicitly load a copy of the remote table's data into Datasphere at a specific point in time, useful for performance or offline analysis. Lastly, data can be persisted by using real-time replication (D). For certain source systems and configurations, Datasphere supports continuous, real-time replication, ensuring that changes in the source system are immediately reflected in the persisted copy within Datasphere. Option A is incorrect as the access mode cannot be arbitrarily switched, and option B refers to data flow capabilities, not inherent remote table access options.
1.Which programming language is used for scripting in an SAP Analytics Cloud story?
Explanation: JavaScript is the programming language utilized for scripting within an SAP Analytics Cloud (SAC) story. While SAC offers various functionalities through its intuitive user interface, scripting with JavaScript provides advanced capabilities for customizing the behavior and interactivity of a story. This allows developers and power users to create highly tailored analytical applications and dashboards that go beyond standard features. For instance, JavaScript can be used to dynamically change chart properties, implement complex filtering logic, trigger data actions, or integrate with external services. Unlike analytic applications, which typically offer more extensive scripting options, storytelling in SAC focuses on enabling business users to create interactive reports with a degree of customization through embedded scripts. The scripts are executed by the web browser, leveraging its built-in JavaScript execution engine, ensuring a flexible and widely understood development environment for enhancing story functionality.
Exam Code: C_BCBDC_2505 Q & A: 30 Q&As Updated: Dec 30,2025
