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[General] C_BCBDC_2505 Technical Training & Latest C_BCBDC_2505 Exam Pdf

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【General】 C_BCBDC_2505 Technical Training & Latest C_BCBDC_2505 Exam Pdf

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SAP C_BCBDC_2505 Exam Syllabus Topics:
TopicDetails
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.
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.
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 (Q95-Q100):NEW QUESTION # 95
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. Direct SQL access to source systems
  • B. Role-based permissions to restrict access
  • C. Business Builder to define and expose semantic views
  • D. Data Catalog to organize and tag shared models
  • E. Business Content Import from SAP NetWeaver
Answer: B,C,D

NEW QUESTION # 96
Which semantic usage type does SAP recommend you use in an SAP Datasphere graphical view to model master data?
  • A. Fact
  • B. Relational Dataset
  • 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 # 97
Which entity can be used as a direct source of an SAP Datasphere analytic model?
  • A. Remote tables of semantic type Text
  • B. Views of semantic type Fact
  • C. Business entities of semantic type Dimension
  • D. Tables of semantic type Hierarchy
Answer: B
Explanation:
An SAP Datasphere analytic model is specifically designed for multi-dimensional analysis, and as such, it requires a central entity that contains the measures (key figures) to be analyzed and links to descriptive dimensions. Therefore, a View of semantic type Fact (B) is the most appropriate and commonly used direct source for an analytic model. A "Fact" view typically represents transactional data, containing measures (e.g., sales amount, quantity) and foreign keys that link to dimension views (e.g., product, customer, date). While "Dimension" type entities (A) provide descriptive attributes and are linked to the analytic model, they are not the direct source of the model itself. Tables of semantic type Hierarchy (C) are used within dimensions, and remote tables of semantic type Text (D) typically provide text descriptions for master data, not the core fact data for an analytic model. The Fact view serves as the central point for an analytic model's measures and its connections to all relevant dimensions.

NEW QUESTION # 98
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. Canvas
  • B. Grid
  • C. Responsive
Answer: C

NEW QUESTION # 99
What are the prerequisites for loading data using Data Provisioning Agent (DP Agent) for SAP Datasphere? Note: There are 2 correct answers to this question.
  • A. The DP Agent is configured for a dedicated space in SAP Datasphere.
  • B. The DP Agent is installed and configured on a local host.
  • C. The Cloud Connector is installed on a local host.
  • D. The data provisioning adapter is installed.
Answer: B,D
Explanation:
To load data into SAP Datasphere using the Data Provisioning Agent (DP Agent), two crucial prerequisites must be met. Firstly, the DP Agent must be installed and configured on a local host (A). The DP Agent acts as a bridge between your on-premise data sources and SAP Datasphere in the cloud. It needs to be deployed on a server within your network that has access to the source systems you wish to connect. Secondly, the relevant data provisioning adapter must be installed (B) within the DP Agent framework. Adapters are specific software components that enable the DP Agent to connect to different types of source systems (e.g., SAP HANA, Oracle, Microsoft SQL Server, filesystems). Without the correct adapter, the DP Agent cannot communicate with and extract data from your chosen source. While the Cloud Connector (C) is often used for secure access to SAP backend systems in the cloud, it's not a direct prerequisite for the DP Agent itself for all data sources. Configuring the DP Agent for a specific space (D) is a step after the initial installation and adapter setup.

NEW QUESTION # 100
......
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