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[General] Vce C-BCBDC-2505 Download & Examcollection C-BCBDC-2505 Vce

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【General】 Vce C-BCBDC-2505 Download & Examcollection C-BCBDC-2505 Vce

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SAP C-BCBDC-2505 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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.
Topic 2
  • 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.
Topic 3
  • 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.

SAP Certified Associate - SAP Business Data Cloud Sample Questions (Q32-Q37):NEW QUESTION # 32
Which of the following is true about data access control in SAP Business Data Cloud?
Please choose the correct answer.
Response:
  • A. Access is managed using roles and policies
  • B. There is no support for data-level authorization
  • C. All users have full read-write access by default
  • D. Access can be assigned only at the workspace level
Answer: A

NEW QUESTION # 33
What are the data sources for Data Analyzer?
Please select all the correct answers that apply.
Response:
  • A. CSV files
  • B. SAP HANA Live Views
  • C. SAP BW Queries
  • D. SAP Datasphere
  • E. SAP Analytics Cloud Models
  • F. Microsoft Excel files
Answer: B,C,D,E

NEW QUESTION # 34
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
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 # 35
What do you use to write data from a local table in SAP Datasphere to an outbound target?
  • A. CSN Export
  • B. Replication Flow
  • C. Data Flow
  • D. Transformation Flow
Answer: C
Explanation:
To write data from a local table in SAP Datasphere to an outbound target, you primarily use a Data Flow. A Data Flow in SAP Datasphere is a powerful tool designed for comprehensive data integration and transformation. It allows you to extract data from various sources (including local tables within Datasphere), perform various transformations (like joins, aggregations, filtering, scripting), and then load the processed data into a specified target. This target can be another local table, a remote table, or an outbound target like an external database or a file system. While a Replication Flow (C) is used for ingesting data into Datasphere, and a Transformation Flow (A) is not a standalone artifact for outbound writes (often part of a Data Flow), the Data Flow provides the complete framework for extracting, transforming, and loading data, including sending it to external destinations.

NEW QUESTION # 36
Why would you choose the "Validate Remote Tables" feature in the SAP Datasphere repository explorer?
  • A. To detect if remote tables are defined that are not used in Views
  • B. To test if data has been replicated completely
  • C. To identify structure updates of the remote sources
  • D. To preview data of remote tables
Answer: C
Explanation:
The "Validate Remote Tables" feature in the SAP Datasphere repository explorer is primarily used to identify structure updates of the remote sources. When a remote table is created in Datasphere, it establishes a metadata connection to a table or view in an external source system. Over time, the structure of the source object (e.g., column additions, deletions, data type changes) might change. The "Validate Remote Tables" function allows you to compare the metadata currently stored in Datasphere for the remote table with the actual, current metadata in the source system. If discrepancies are found, Datasphere can highlight these structural changes, prompting you to update the remote table's definition within Datasphere to match the source. This ensures that views and data flows built on these remote tables continue to function correctly and align with the underlying source structure, preventing data access issues or incorrect data interpretations.

NEW QUESTION # 37
......
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