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Formal C_BCBDC_2505 Test - C_BCBDC_2505 Exam Registration

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SAP C_BCBDC_2505 Exam Syllabus Topics:

Topic
Details

Topic 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.

Topic 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.

Topic 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.

SAP Certified Associate - SAP Business Data Cloud Sample Questions (Q37-Q42):

NEW QUESTION # 37
A healthcare organization is using SAP Business Data Cloud and needs to maintain an audit trail of all changes made to financial data models. Which features help achieve this?
There are 3 correct answers to this question.
Response:

A. Lineage tracking
B. Change history view
C. Version history
D. Business Catalog publication
E. Manual logs in Excel

Answer: A,B,C

NEW QUESTION # 38
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 Builder
B. Data Marketplace
C. Data Catalog
D. Data Quality Dashboard
E. Data Monitor

Answer: A,C,D

NEW QUESTION # 39
An organization aims to enhance data collaboration between departments and external partners while maintaining control over data access. Which SAP Business Data Cloud components should they leverage?
There are 3 correct answers to this question.
Response:

A. Email data sharing
B. Data Catalog
C. Data Marketplace
D. Public data repositories
E. Role-based access control

Answer: B,C,E

NEW QUESTION # 40
What is the result of activating a Data Package in the SAP Business Data Cloud cockpit?
Please choose the correct answer.
Response:

A. The removal of an existing Data Package.
B. The deployment of a new SAP Datasphere model.
C. The creation of a new Intelligent Application.
D. The availability of the corresponding Data Products.

Answer: D

NEW QUESTION # 41
What is a purpose of SAP Datasphere in the context of SAP Business Data Cloud?

A. To maintain the system landscape for SAP Business Data Cloud
B. To provide analytic models for intelligent applications
C. To define a data product
D. To install an intelligent application

Answer: B

Explanation:
In the context of SAP Business Data Cloud (BDC), SAP Datasphere plays a pivotal role primarily to provide analytic models for intelligent applications. SAP Datasphere acts as the unified data fabric and central data layer within the BDC architecture. It is where data from various sources is integrated, harmonized, and semantically enriched. The analytical models, which are the foundation for reporting, dashboards, and machine learning initiatives within intelligent applications, are built and managed within SAP Datasphere. These models transform raw, integrated data into business-ready information, providing the necessary structure and context for consumption by SAP Analytics Cloud and other intelligent applications. While data products are defined using artifacts within Datasphere, and the overall system landscape is maintained through the BDC Cockpit, the core purpose of Datasphere in this ecosystem is its capability to deliver robust, high-quality analytical models to drive business insights for intelligent applications.

NEW QUESTION # 42
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