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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	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	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 (Q13-Q18):

NEW QUESTION # 13
What can you do with a multi action? Note: There are 2 correct answers to this question.

A. Run allocation data actions
B. Approve data
C. Import transaction data
D. Run allocation processes

Answer: A,C

NEW QUESTION # 14
Where can you create a blank planning version?

A. In version management
B. In the version dimension
C. In a data cell
D. In the planning model

Answer: A

Explanation:
A blank planning version in SAP Analytics Cloud can be created within the Version Management feature. This area of the platform allows users to manage different versions of their data, such as budgets, forecasts, and what-if scenarios. Creating a blank version provides a clean slate for planning activities, without pre-existing data, enabling users to start fresh with their assumptions and inputs.
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Creating New Versions for Planning

NEW QUESTION # 15
The SAP Analytics Cloud (SAC) modeler has removed the first three characters from an SAP Analytics Cloud public dimension imported from a source system. What is impacted by this change?

A. Source system
B. Embedded data sets
C. Stories
D. Public datasets

Answer: C

Explanation:
When the SAP Analytics Cloud (SAC) modeler removes the first three characters from a public dimension imported from a source system, this change impacts Stories that use this dimension. Specifically, any visualizations, calculations, or filters within those stories that rely on the original dimension values may need to be adjusted to account for the change. This modification does not affect the source system or public datasets directly, but it can impact how the data appears and behaves in stories that use the modified dimension.
Reference:
SAP Analytics Cloud Help Documentation: Modifying Dimensions
SAP Analytics Cloud User Guide: Impact of Dimension Changes on Stories

NEW QUESTION # 16
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. Refresh the story
B. Refresh the import job
C. Schedule the import
D. Allow model import

Answer: A,C

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 # 17
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.

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

Answer: A,C

NEW QUESTION # 18
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C-SAC-2415 Related Content | C-SAC-2415 Mock Exams

SAP C-SAC-2415 Exam Syllabus Topics:

C-SAC-2415 Mock Exams - Latest C-SAC-2415 Exam Pass4sure

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q13-Q18):

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