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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	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 3	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 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	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 (Q50-Q55):

NEW QUESTION # 50
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 table header
D. The highest level in the table

Answer: A

NEW QUESTION # 51
How can you limit the refresh time of a story?

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

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 # 52
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.

A. Date Difference
B. Difference From
C. Restricted Measure
D. Aggregation

Answer: B,C

NEW QUESTION # 53
To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.

A. Chart
B. Table
C. Lane
D. Composite

Answer: A,B

Explanation:
In SAP Analytics Cloud stories, conditional formatting can be applied to Table and Chart elements. This feature allows users to visually highlight data points based on specific conditions, such as thresholds, ranges, or comparisons, making it easier to identify trends, outliers, or areas of interest within the data presented in tables and charts.
Reference:
SAP Analytics Cloud Help Documentation: Conditional Formatting
SAP Analytics Cloud User Guide: Applying Conditional Formatting to Tables and Charts

NEW QUESTION # 54
What features are supported by data analyzer? Note: There are 3 correct answers to this question.

A. Linked dimensions
B. Input controls
C. Calculated measures
D. Conditional formatting
E. Charts

Answer: C,D,E

NEW QUESTION # 55
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