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New C-BCBDC-2505 Braindumps Ebook - Free PDF Quiz 2025 C-BCBDC-2505: First-grade SAP Certified Associate - SAP Business Data Cloud Study Guide Pdf
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| Topic |
Details |
| Topic 1 |
- 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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| Topic 2 |
- 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.
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| Topic 3 |
- 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.
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SAP Certified Associate - SAP Business Data Cloud Sample Questions (Q69-Q74):
NEW QUESTION # 69
Which semantic usage type does SAP recommend you use in an SAP Datasphere graphical view to model master data?
- A. Relational Dataset
- B. Fact
- C. Dimension
- D. Analytical Dataset
Answer: C
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 # 70
Which use cases are addressed by SAP Business Data Cloud's Data Catalog?
There are 2 correct answers to this question.
Response:
- A. Metadata discovery
- B. API publishing
- C. Data classification and tagging
- D. Transaction processing
Answer: A,C
NEW QUESTION # 71
Related to data management, what are some capabilities of SAP Business Data Cloud? Note: There are 2 correct answers to this question.
- A. Store customer business data in 3rd party hyperscaler environments.
- B. Integrate and enrich customer business data for different analytics use cases.
- C. Harmonize customer business data across different Line of Business applications
- D. Delegate the integration of business data to partners and customers.
Answer: B,C
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.
NEW QUESTION # 72
An international bank wants to provide regional analysts with business-ready data models without granting direct access to raw data sources. What features should be implemented?
There are 3 correct answers to this question.
Response:
- A. Data Catalog to organize and tag shared models
- B. Role-based permissions to restrict access
- C. Direct SQL access to source systems
- D. Business Content Import from SAP NetWeaver
- E. Business Builder to define and expose semantic views
Answer: A,B,E
NEW QUESTION # 73
A data analyst needs to find existing data assets within the organization, understand their structure, and determine their relevance for a new project. Which tools in SAP Business Data Cloud will assist in this task?
There are 3 correct answers to this question.
Response:
- A. Data Quality Dashboard
- B. Data Monitor
- C. Data Builder
- D. Data Marketplace
- E. Data Catalog
Answer: A,C,E
NEW QUESTION # 74
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