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SAP C_BCBDC_2505 Exam Syllabus Topics:
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SAP Certified Associate - SAP Business Data Cloud Sample Questions (Q31-Q36):
NEW QUESTION # 31
In SAP Analytics Cloud, into which elements can you import data?
There are 3 correct answers to this question.
Response:
- A. Stories
- B. Dimensions
- C. Datasets
- D. Models
Answer: B,C,D
NEW QUESTION # 32
In an SAP Analytics Cloud planning data model, which dimensions are included by default? Note: There are 2 correct answers to this question.
- A. Entity
- B. Date
- C. Version
- D. Organization
Answer: B,C
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 # 33
How can you join two existing artifacts in SAP Datasphere? Note: There are 2 correct answers to this question.
- A. Create an Analytic Model based on the first artifact and add the second artifact as the Used in property.
- B. Create an SQL view with a JOIN operation.
- C. Create a graphical view, drag an artifact to the canvas, and the second one on top of the first one.
- D. Create a graphical view and select the Join node icon.
Answer: B,D
Explanation:
In SAP Datasphere, there are distinct methods for joining two existing artifacts, enabling powerful data integration. One common and intuitive approach is to create a graphical view and select the Join node icon (B). In the graphical view editor, you can drag your source artifacts (tables or views) onto the canvas, and then use the dedicated "Join" node to define the join conditions between them, visually mapping the columns and selecting the join type (e.g., inner, left outer). This method is highly visual and user-friendly. Another powerful and flexible way to join artifacts is to create an SQL view with a JOIN operation (C). For users comfortable with SQL, an SQL view allows for direct coding of complex join conditions, including various join types and advanced filtering, offering fine-grained control over the data integration logic. Both methods achieve the goal of combining data from multiple artifacts into a single result set, tailored to different user preferences and complexity requirements.
NEW QUESTION # 34
You created a story and want to share it with an external agent, who does not have SAP Analytics Cloud. You decide to export the story as a file. Which file type can be used?
Please choose the correct answer.
Response:
- A. .pdf
- B. .xlsx
- C. .csv
- D. .html
Answer: A
NEW QUESTION # 35
A logistics company aims to integrate operational data from SAP S/4HANA and enrich it with supplier metrics. They want to avoid replicating the data and maintain live updates. Which combination of features should be used?
There are 3 correct answers to this question.
Response:
- A. Manual KPI calculation in spreadsheets
- B. Data replication through CSV
- C. Remote Tables from SAP S/4HANA
- D. Business Builder for semantic modeling
- E. Role-based data access
Answer: C,D,E
NEW QUESTION # 36
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