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Pass Guaranteed First-grade SAP C-BCBDC-2505 - Exam SAP Certified Associate - SAP Business Data Cloud Testking

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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 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 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 C-BCBDC-2505 Interactive Practice Exam & New C-BCBDC-2505 Practice Questions

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SAP Certified Associate - SAP Business Data Cloud Sample Questions (Q75-Q80):

NEW QUESTION # 75
What are the advantages of using remote tables in SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:

A. Automatic dashboard publishing
B. Local caching of business rules
C. Real-time access to source data
D. Minimized data latency

Answer: C,D

NEW QUESTION # 76
What are the primary purposes of SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:

A. To act solely as a data storage solution without analytics capabilities.
B. To provide a homogeneous system landscape for data, functions, and use cases.
C. To provide foundational services for data and analytics scenarios.
D. To provide mainly manual data integration scenarios.

Answer: B,C

NEW QUESTION # 77
What is the first action Allen (Business Analyst) takes when Natalie (Chief Finance Officer) reaches out to him for insights on working capital?
Please choose the correct answer.
Response:

A. He explores the available Intelligent Application in SAP Business Data Cloud Catalog.
B. He shares the Data Product with SAP Databricks.
C. He develops a custom ML model.
D. He reviews the details and installs the Intelligent Application.

Answer: A

NEW QUESTION # 78
For which purposes would you use the SAP Business Data Cloud cockpit?
There are 3 correct answers to this question.
Response:

A. To activate data packages
B. To discover intelligent applications and data packages
C. To install intelligent applications
D. To install the Foundation Services
E. To copy and enhance intelligent applications

Answer: A,B,C

NEW QUESTION # 79
Which semantic usage type does SAP recommend you use in an SAP Datasphere graphical view to model master data?

A. Dimension
B. Analytical Dataset
C. Relational Dataset
D. Fact

Answer: A

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 # 80
......

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