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SAP C_SAC_2501 Practice Test - Questions Answers, Page 4
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Question 31
Which automatically created dimension type can you delete from an analytic data model?
Version
Date
Organization
Generic
SAP Analytics Cloud Help Documentation: Data Model Dimensions
SAP Analytics Cloud User Guide: Managing Dimensions in Analytic Models
In an analytic data model within SAP Analytics Cloud, the automatically created dimension type that you can delete is the Generic dimension. This type of dimension is typically used for custom or ad-hoc categorizations and, unlike system-generated dimensions like Date or Version, can be modified or removed as per the specific needs of your data model and analysis requirements.
Question 32
You want to save your data analyzer result. What is it saved as?
Story
Insight
Dataset
Model
Question 33
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?
Public datasets
Source system
Stories
Embedded data sets
SAP Analytics Cloud Help Documentation: Modifying Dimensions
SAP Analytics Cloud User Guide: Impact of Dimension Changes on Stories
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.
Question 34
Which dimension type can you use like a measure?
Account
Date
Organization
Entity
SAP Analytics Cloud Help Documentation: Understanding Dimensions and Measures
SAP Analytics Cloud User Guide: Working with Account Dimensions
In SAP Analytics Cloud, the Account dimension can be used similarly to a measure. This dimension is specifically designed for financial data and can hold various types of financial metrics, such as revenues, expenses, assets, and liabilities. It allows for the application of financial calculations and aggregations, which is why it can function similarly to measures in the context of financial reporting and analysis.
Question 35
What features are supported by data analyzer? Note: There are 3 correct answers to this question.
Linked dimensions
Charts
Conditional formatting
Input controls
Calculated measures
Question 36
In a data model, what can you use to further describe a dimension?
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Question 37
You have a dataset that extracts data from an SAP Business Warehouse (SAP BW) system. The data in the SAP BW system changes. How can you update the dataset?
Question 38
You are designing a new story. You want the size and position of widgets to adjust dynamically for viewing on different devices and screen sizes. Which page type must you use?
Question 39
To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.
Question 40
What can you use input controls for in a story? Note: There are 2 correct answers to this question.
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