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100% Pass Quiz Latest C_BCBDC_2505 - SAP Certified Associate - SAP Business Data
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SAP C_BCBDC_2505 Exam Syllabus Topics:| Topic | Details | | 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 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 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.
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SAP Certified Associate - SAP Business Data Cloud Sample Questions (Q46-Q51):NEW QUESTION # 46
Which automatically created dimension type can you delete from an SAP Analytics Cloud analytic data model?
- A. Generic
- B. Organization
- C. Date
- D. Version
Answer: A
Explanation:
In an SAP Analytics Cloud (SAC) analytic data model, you typically have a degree of flexibility in managing dimensions. Among the automatically created dimension types, the Generic dimension can often be deleted if it's not relevant or desired for your analysis. Generic dimensions are often generated by the system based on identified data patterns but might not always align with specific business requirements or be redundant. In contrast, Date, Version, and Organization dimensions are fundamental and often system-critical, especially for planning models (Version, Organization) or time-based analysis (Date). These core dimensions are usually not freely deletable or are required by the system for specific functionalities. Therefore, for tailoring your analytic model to specific business needs, the ability to remove generic dimensions provides greater control and simplification.
NEW QUESTION # 47
Which entity can be used as a direct source of an SAP Datasphere analytic model?
- A. Remote tables of semantic type Text
- B. Tables of semantic type Hierarchy
- C. Views of semantic type Fact
- D. Business entities of semantic type Dimension
Answer: C
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 # 48
In SAP Business Data Cloud, what is the function of the Connection Management feature?
Please choose the correct answer.
Response:
- A. Create backup jobs for storage
- B. Control dashboard visualization access
- C. Establish data flows between widgets
- D. Define connectivity to source systems
Answer: D
NEW QUESTION # 49
Which of the following can you do with an SAP Datasphere Data Flow? Note: There are 3 correct answers to this question.
- A. Delete records from a target table.
- B. Fill different target tables in parallel.
- C. Integrate data from different sources into one table.
- D. Use a Python script for data transformation.
- E. Write data to a table in a different SAP Datasphere tenant.
Answer: B,C,D
Explanation:
An SAP Datasphere Data Flow is a highly versatile and powerful tool for data integration, transformation, and loading. With a Data Flow, you can effectively integrate data from different sources into one table (B). This is a fundamental capability, allowing you to combine data from various tables, views, or even external connections, apply transformations, and consolidate it into a single target table. Another advanced capability is to fill different target tables in parallel (D). Data Flows are designed to handle complex scenarios efficiently, and this parallelism optimizes performance when you need to populate multiple destination tables simultaneously from a single flow. Furthermore, Data Flows support extensibility, allowing you to use a Python script for data transformation (E). This enables advanced, custom data manipulation logic that might not be available through standard graphical operations, providing immense flexibility for complex business rules. Writing data to a different Datasphere tenant (A) is not a direct capability of a Data Flow, and deleting records from a target table (C) is typically handled via specific operations within the target table's management or through SQL scripts rather than a standard data flow write operation.
NEW QUESTION # 50
For which purposes is a database user required in SAP Datasphere? Note: There are 2 correct answers to this question.
- A. To access all schemas in SAP Datasphere
- B. To provide a secure method for data exchange for 3rd party tools
- C. To directly access the SAP HANA Cloud database of SAP Datasphere
- D. To create a graphical view in SAP Datasphere
Answer: B,C
Explanation:
A database user in SAP Datasphere serves specific technical and security-related purposes that are distinct from typical modeling activities within the Data Builder. One primary purpose is to directly access the SAP HANA Cloud database of SAP Datasphere. For advanced scenarios, such as debugging, executing complex SQL scripts directly, or integrating with specialized tools that require direct database connectivity, a dedicated database user is essential. This access bypasses the higher-level Datasphere modeling environment and interacts directly with the underlying SAP HANA Cloud instance. Another crucial purpose is to provide a secure method for data exchange for 3rd party tools. When external applications, reporting tools, or data integration platforms need to consume data from or write data into SAP Datasphere's underlying database, a database user provides the necessary authentication and authorization mechanism. This ensures that data exchange is secure and controlled, adhering to defined permissions. Creating graphical views (B) is done via the Datasphere UI with a Datasphere user, and accessing all schemas (C) would typically require broad administrative privileges, which might be granted to specific database users, but the core purpose is controlled access, not carte blanche.
NEW QUESTION # 51
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