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C-SAC-2415 Exam Materials, Pass4sure C-SAC-2415 Study Materials
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SAP C-SAC-2415 Exam Syllabus Topics:
Topic
Details
Topic 1
- Planning: This section measures the proficiency of planning and financial analysts in utilizing SAP Analytics Cloud’s enterprise planning features. It covers working with planning models and stories, configuring data actions, managing versions, and conducting forecasting and simulations.
Topic 2
- Connections and Data Preparation: This section targets data integration specialists and preparers. It involves identifying the various methods SAC employs to access data and understanding the appropriate use cases for each.
Topic 3
- Story Design: This section assesses the skills of data analysts and report designers. It includes the design and presentation of stories within SAC, with a focus on configuring story elements such as pages, tables, charts, and widgets.
Topic 4
- Data Modeling, Analysis, and Integration: This section evaluates the expertise of professionals in data modeling and analytics. It emphasizes the creation and configuration of models within SAP Analytics Cloud (SAC), detailing the role and functionalities of the Data Analyzer, and integrating SAC with external applications.
Topic 5
- Performance, Troubleshooting, and Security Management: This section is designed for system administrators and security managers. It involves identifying performance issues, understanding their causes and solutions, and explaining the security model of SAP Analytics Cloud.
SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q30-Q35):
NEW QUESTION # 30
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.
- A. Use fewer FOREACH functions
- B. Use fewer aggregation dimension functions
- C. Use fewer IF statements
- D. Use fewer MEMBERSET statements
- E. Use fewer data functions
Answer: A,C,E
NEW QUESTION # 31
What can you use to perform cell-based calculations in a story?
- A. Restricted measures
- B. Table formulas
- C. Calculated measures
- D. Dimension formulas
Answer: B
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 # 32
What type of predictive scenario can write back to a planning model?
- A. Time series forecast
- B. Regression
- C. Classification
- D. Value driver tree
Answer: A
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 # 33
What features are supported by data analyzer? Note: There are 3 correct answers to this question.
- A. Charts
- B. Conditional formatting
- C. Linked dimensions
- D. Input controls
- E. Calculated measures
Answer: A,B,E
NEW QUESTION # 34
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. Dis-able distribution
- B. Dis-able allocations
- C. Use two properties
- D. Use two hierarchies
Answer: D
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 # 35
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