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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q31-Q36):
NEW QUESTION # 31
You have a dimension with members for product groups and products. Each product group has associated products. You want to plan by product group without disaggregating into the products. How can you do this?
- A. Use two hierarchies
- B. Dis-able distribution
- C. Dis-able allocations
- D. Use two properties
Answer: A
Explanation:
When you have a dimension with members for product groups and associated products and want to plan by product group without disaggregating into the individual products, using two hierarchies is the best approach. One hierarchy can represent the product groups at a higher level, allowing for planning and analysis at the group level. The second hierarchy can include both the product groups and their associated individual products for more detailed analysis when needed. This approach provides flexibility in planning and analyzing data at different levels of detail without the necessity of disaggregating data at the product group level.
Reference:
SAP Analytics Cloud Help Documentation: Hierarchies in Planning
SAP Analytics Cloud User Guide: Managing Hierarchies for Planning
NEW QUESTION # 32
Where can you create a blank planning version?
- A. In the version dimension
- B. In a data cell
- C. In the planning model
- D. In version management
Answer: D
Explanation:
A blank planning version in SAP Analytics Cloud can be created within the Version Management feature. This area of the platform allows users to manage different versions of their data, such as budgets, forecasts, and what-if scenarios. Creating a blank version provides a clean slate for planning activities, without pre-existing data, enabling users to start fresh with their assumptions and inputs.
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Creating New Versions for Planning
NEW QUESTION # 33
You want to save your data analyzer result. What is it saved as?
- A. Model
- B. Dataset
- C. Insight
- D. Story
Answer: C
NEW QUESTION # 34
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. Measures
- B. Calculations
- C. Dimensions
- D. Hierarchies
Answer: A,C
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 # 35
What can you use to perform cell-based calculations in a story?
- A. Dimension formulas
- B. Calculated measures
- C. Table formulas
- D. Restricted measures
Answer: C
Explanation:
Table formulas in SAP Analytics Cloud are used to perform cell-based calculations within a story. These formulas can be applied directly to table cells, allowing for customized calculations that are specific to the data presented in the table. This feature is particularly useful for ad-hoc analysis and when specific calculations are needed that are not covered by predefined measures or dimensions.
Reference:
SAP Analytics Cloud Help Documentation: Using Table Formulas
SAP Analytics Cloud User Guide: Cell-Based Calculations in Stories
NEW QUESTION # 36
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