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SAP C-SAC-2415 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 4	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 5	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.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q10-Q15):

NEW QUESTION # 10
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.

A. Enable Keeping member names visible
B. Enable Auto-Size And Page Table Vertically
C. Freeze Up to row
D. Freeze Up to column

Answer: C,D

NEW QUESTION # 11
How can you limit the refresh time of a story?

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

Answer: B

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 # 12
Which programming language is used for scripting in an SAP Analytics Cloud story?

A. ABAP
B. Python
C. Wrangling Expression Language
D. JavaScript

Answer: D

NEW QUESTION # 13
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 properties
B. Use two hierarchies
C. Dis-able distribution
D. Dis-able allocations

Answer: B

NEW QUESTION # 14
Which of the following data sources can you use in SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question.

A. SAP HANA view
B. SAP Analytics Cloud public dataset
C. SAP Datasphere model
D. SAP BusinessObjects Universe
E. SAP Analytics Cloud analytic model

Answer: A,C,E

NEW QUESTION # 15
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