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C_SAC_2415 Interactive Practice Exam, C_SAC_2415 PDF Question

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SAP C_SAC_2415 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 3

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 4

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.

Topic 5

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.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q24-Q29):

NEW QUESTION # 24
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 # 25
You have a story in My Files. You want your colleague to review and comment on the story. What must you do?

A. Share with View access
B. Add a Comment widget to the story
C. Create a Review task for the story
D. Include the story in a Discussion

Answer: B

NEW QUESTION # 26
You are creating a styling rule for a table. What is the context?

A. The location of the cursor
B. The most granular level in the table
C. The highest level in the table
D. The table header

Answer: A

NEW QUESTION # 27
How can you limit the refresh time of a story?

A. Implement a value driver tree
B. Create calculated measures
C. Collapse the hierarchy
D. Use canvas pages

Answer: C

Explanation:
Collapsing the hierarchy in a story can help limit the refresh time, as it reduces the amount of data that needs to be processed and displayed at any given time. By presenting data at a higher aggregation level initially, you can improve performance and allow users to expand specific sections of the hierarchy as needed for more detailed analysis.
Reference:
SAP Analytics Cloud Help Documentation: Improving Story Performance
SAP Analytics Cloud User Guide: Managing Data Hierarchy for Performance

NEW QUESTION # 28
What can you use to perform cell-based calculations in a story?

A. Dimension formulas
B. Table formulas
C. Calculated measures
D. Restricted measures

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 # 29
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