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[General] Echte C-BCBDC-2505 Fragen und Antworten der C-BCBDC-2505 Zertifizierungsprüfung

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【General】 Echte C-BCBDC-2505 Fragen und Antworten der C-BCBDC-2505 Zertifizierungsprüfung

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SAP C-BCBDC-2505 Prüfungsplan:
ThemaEinzelheiten
Thema 1
  • SAP Analytics Cloud: This section of the exam measures the skills of Data Analysts and covers the use of SAP Analytics Cloud in data visualization, story building, and dashboard creation. Candidates should be familiar with its planning and predictive capabilities, along with how to utilize data insights to drive business decision-making. It also includes managing user access and collaborating through shared analytics assets.
Thema 2
  • SAP Business Data Cloud: This section of the exam measures the skills of Data Analysts and covers core concepts of the SAP Business Data Cloud. Candidates are expected to understand its key components, integration mechanisms, and how it functions as a foundation for unified data management across SAP and non-SAP environments. The focus is on enabling data connectivity and providing governed access to data across the enterprise.
Thema 3
  • SAP Datasphere: This section of the exam measures the skills of Solution Consultants and covers a comprehensive understanding of SAP Datasphere. Candidates should demonstrate knowledge of data modeling, transformation, and harmonization using SAP Datasphere tools. It evaluates how well they can work with data layer structuring, semantic modeling, and integration to support real-time data access for various business applications.

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SAP Certified Associate - SAP Business Data Cloud C-BCBDC-2505 Prüfungsfragen mit Lösungen (Q70-Q75):70. Frage
Which of the following can you do with an SAP Datasphere Data Flow? Note: There are 3 correct answers to this question.
  • A. Use a Python script for data transformation.
  • B. Write data to a table in a different SAP Datasphere tenant.
  • C. Fill different target tables in parallel.
  • D. Integrate data from different sources into one table.
  • E. Delete records from a target table.
Antwort: A,C,D
Begründung:
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.

71. Frage
What lets you create 1 or more models that learn from your historical data?
Please choose the correct answer.
Response:
  • A. Smart Insights
  • B. Smart Predict
  • C. Predictive Forecast
Antwort: B

72. Frage
What source system can you connect to with an SAP Analytics Cloud live connection that is provided by SAP BDC?
  • A. SAP Business ByDesign Analytics
  • B. SAP SuccessFactors
  • C. SAP ERP
  • D. SAP Datasphere
Antwort: D
Begründung:
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.

73. Frage
Which components support semantic enrichment of data in SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:
  • A. Data Marketplace
  • B. Data Monitor
  • C. Calculated Measures
  • D. Business Builder
Antwort: C,D

74. Frage
Related to data management, what are some capabilities of SAP Business Data Cloud? Note: There are 2 correct answers to this question.
  • A. Harmonize customer business data across different Line of Business applications
  • B. Delegate the integration of business data to partners and customers.
  • C. Integrate and enrich customer business data for different analytics use cases.
  • D. Store customer business data in 3rd party hyperscaler environments.
Antwort: A,C
Begründung:
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.

75. Frage
......
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