100% Pass Quiz 2025 SAP C-SAC-2415: SAP Certified Associate - Data Analyst - SAP Analytics Cloud–Professional Exam Questions Pdf

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SAP C-SAC-2415 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 5	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.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q15-Q20):

NEW QUESTION # 15
What is required to use version management in a story?

A. Classic mode
B. Analytic model
C. Planning model
D. Optimized mode

Answer: C

Explanation:
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning

NEW QUESTION # 16
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 MEMBERSET statements
C. Use fewer data functions
D. Use fewer IF statements
E. Use fewer aggregation dimension functions

Answer: A,C,D

NEW QUESTION # 17
How can you limit the refresh time of a story?

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

Answer: A

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 # 18
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.

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

Answer: C,D

NEW QUESTION # 19
You have a story based on an import model. The transaction data in the model's data source changes. How can you update the data in the model? Note: There are 2 correct answers to this question.

A. Allow model import
B. Refresh the import job
C. Refresh the story
D. Schedule the import

Answer: C,D

Explanation:
To update the data in a model based on an import connection, two main approaches can be used:
Refresh the story: This action forces SAP Analytics Cloud to reload the data for the visualizations in a story, pulling in the most recent data available in the model. This is a manual process initiated by the user.
Schedule the import: This option allows users to set up a recurring data import schedule, ensuring the model is regularly updated with the latest data from the source system. This automated process helps maintain data freshness without manual intervention.
Both methods ensure that the story reflects the most current data, accommodating changes in the transaction data of the model's data source.

NEW QUESTION # 20
......

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