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C_SAC_2501 PDF Guide, C_SAC_2501 Exam Tutorial
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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 (Q30-Q35):
NEW QUESTION # 30
What type of predictive scenario can write back to a planning model?
- A. Classification
- B. Regression
- C. Time series forecast
- D. Value driver tree
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 # 31
You want to display differences between measures in a chart. What can you use?
- A. Reference line
- B. Restricted measure
- C. Variance
- D. Threshold
Answer: C
Explanation:
To display differences between measures in a chart within SAP Analytics Cloud, you can use the Variance feature. Variance helps to highlight the differences or gaps between two data points or measures, making it easier to identify trends, outliers, or areas requiring attention in visual representations like charts.
Reference:
SAP Analytics Cloud Help Documentation: Variance Analysis in Charts
SAP Analytics Cloud User Guide: Displaying Measure Differences Using Variance
NEW QUESTION # 32
What can you use to organize dimensions into logical categories in a live model?
- A. Groups
- B. Level-based hierarchy
- C. Parent-child hierarchy
- D. Value driver tree
Answer: C
Explanation:
In a live model within SAP Analytics Cloud, dimensions can be organized into logical categories using either level-based hierarchies or parent-child hierarchies. Level-based hierarchies are used when the relationships between items are defined by distinct levels, such as Geography might be divided into Country, State, and City levels. Parent-child hierarchies, on the other hand, are useful when the data's hierarchy is not strictly defined by levels but by a parent relationship where a child member is associated with a parent member, which is common in organizational structures or product categories.
Reference:
SAP Analytics Cloud Help Documentation: Creating and Managing Hierarchies SAP Analytics Cloud User Guide: Working with Models
NEW QUESTION # 33
You are creating a data action to copy data from one year to the next.In the parameter for the source year, which default setting must you change?
- A. Level
- B. Hierarchy
- C. Cardinality
- D. Granularity
Answer: C
NEW QUESTION # 34
What account types use the average rate type? Note: There are 2 correct answers to this question.
- A. AST
- B. LEQ
- C. EXP
- D. INC
Answer: C,D
NEW QUESTION # 35
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