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C_BCBDC_2505 Practice Exam Online, Exam C_BCBDC_2505 Quiz

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SAP C_BCBDC_2505 Exam Syllabus Topics:

Topic
Details

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 (Q84-Q89):

NEW QUESTION # 84
Which entity can be used as a direct source of an SAP Datasphere analytic model?

A. Views of semantic type Fact
B. Tables of semantic type Hierarchy
C. Business entities of semantic type Dimension
D. Remote tables of semantic type Text

Answer: A

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 # 85
What are the benefits of using the Data Marketplace in SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:

A. Automated data cleansing
B. Built-in email marketing tools
C. Enhanced data collaboration
D. Access to external data providers

Answer: C,D

NEW QUESTION # 86
In the SAP Analytics Cloud Catalog, what access do you have to the files?
Please choose the correct answer.
Response:

A. Read/Write
B. Edit
C. View

Answer: C

NEW QUESTION # 87
What are the advantages of using remote tables in SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:

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

Answer: B,D

NEW QUESTION # 88
In an SAP Analytics Cloud planning data model, which dimensions are included by default? Note: There are 2 correct answers to this question.

A. Organization
B. Date
C. Entity
D. Version

Answer: B,D

Explanation:
When creating a planning data model in SAP Analytics Cloud (SAC), certain dimensions are included by default to facilitate common planning scenarios. The two key dimensions automatically present are Version and Date. The Version dimension is crucial for distinguishing between different planning scenarios, such as "Actual," "Budget," "Forecast," or "Plan 2025," allowing users to compare and manage various iterations of their planning data. The Date dimension, on the other hand, is essential for time-based planning and analysis, enabling data entry, aggregation, and reporting across different time granularities like years, quarters, months, or days. These default dimensions provide a robust framework for financial and operational planning, serving as foundational elements around which planning activities are structured, and ensuring consistency and comparability across different planning versions and time periods.

NEW QUESTION # 89
......

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