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SAP C-SAC-2501 Exam Syllabus Topics:
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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q57-Q62):
NEW QUESTION # 57
You want to use an input control to filter data appearing in a story. At what level is the filter applied?
Answer: A
Explanation:
When using an input control to filter data in a SAP Analytics Cloud story, the filter is applied at the Page level. This means that the selected filter criteria will affect all the components (tables, charts, etc.) on that particular page, allowing for a cohesive and consistent view of the data filtered according to the chosen parameters.
Reference:
SAP Analytics Cloud Help Documentation: Filtering Data with Input Controls SAP Analytics Cloud User Guide: Page-Level Filtering in Stories
NEW QUESTION # 58
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.
Answer: B,C
NEW QUESTION # 59
What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.
Answer: A,B,C
NEW QUESTION # 60
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
Answer: C,D
Explanation:
In SAP Analytics Cloud, a data model must contain at least "Dimensions" and "Measures" to be functional. Dimensions are the qualitative aspects of the data (e.g., time, geography, product categories) that provide the context for analysis. Measures, on the other hand, are the quantitative data points (e.g., sales, costs, quantities) that are analyzed within the context provided by dimensions. Both are fundamental components of a data model, enabling structured data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Building Data Models
SAP Analytics Cloud User Guide: Understanding Dimensions and Measures in Models
NEW QUESTION # 61
What type of predictive scenario can write back to a planning model?
Answer: C
Explanation:
In SAP Analytics Cloud, a Time Series Forecast predictive scenario can write back to a planning model. Time Series Forecasting leverages historical data to predict future values over a specified time horizon, using statistical or machine learning methods. This feature is particularly useful in planning and forecasting processes, where future values are predicted based on past trends and seasonality. The ability to write these forecasts back into a planning model allows for the integration of predictive insights into the planning process, enhancing decision-making and strategic planning.
Reference:
SAP Analytics Cloud Help Documentation: Predictive Scenarios and Planning SAP Analytics Cloud User Guide: Time Series Forecasting in Planning Models
NEW QUESTION # 62
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