SAP C_SAC_2415 Practice Test - Questions Answers, Page 4
List of questions
Question 31
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Which of the following data sources can you use in SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question.
SAP Analytics Cloud public dataset
SAP HANA view
SAP Datasphere model
SAP Analytics Cloud analytic model
SAP BusinessObjects Universe
Question 32
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You have a live data model with two dimensions: Firstname and Lastname. Users want a single dimension in the data model that displays the dimensions as Lastname, Firstname. What must you do?
Create the combined data in the source system.
Create a calculated dimension in the data model.
Create a calculated dimension in the story.
Group the Firstname and Lastname in the data model.
Explanation:
To combine two dimensions, Firstname and Lastname, into a single dimension displaying as Lastname, Firstname in a live data model, you should create a calculated dimension in the data model. This calculated dimension will concatenate the two fields into one, according to the specified format. This approach allows for the creation of a new dimension that can be used across various reports and analyses within the model, maintaining the integrity of the original dimensions.
SAP Analytics Cloud Help Documentation: Creating Calculated Dimensions
SAP Analytics Cloud User Guide: Data Modeling Best Practices
Question 33
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Your users need to analyze data in a story. What kinds of data models can you create? Note: There are 2 correct answers to this question.
Standalone
Embedded
Planning
Analytic
Question 34
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Which SAP Analytics Cloud feature uses natural language processing?
Digital boardroom
Data analyzer
Smart insight
Just Ask feature
Question 35
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Which automatically created dimension type can you delete from an analytic data model?
Version
Date
Organization
Generic
Explanation:
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.
SAP Analytics Cloud Help Documentation: Data Model Dimensions
SAP Analytics Cloud User Guide: Managing Dimensions in Analytic Models
Question 36
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You want to save your data analyzer result. What is it saved as?
Story
Insight
Dataset
Model
Question 37
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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
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.
SAP Analytics Cloud Help Documentation: Modifying Dimensions
SAP Analytics Cloud User Guide: Impact of Dimension Changes on Stories
Question 38
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Which dimension type can you use like a measure?
Account
Date
Organization
Entity
Explanation:
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.
SAP Analytics Cloud Help Documentation: Understanding Dimensions and Measures
SAP Analytics Cloud User Guide: Working with Account Dimensions
Question 39
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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 40
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In a data model, what can you use to further describe a dimension?
Data action
Measure
Property
Variable
Explanation:
In a data model within SAP Analytics Cloud, Properties are used to further describe dimensions. Properties provide additional context or metadata for dimension members, such as descriptions, classifications, or other attributes that help to better understand and analyze the data within the dimension. This makes properties essential for detailed data analysis and reporting.
SAP Analytics Cloud Help Documentation: Dimension Properties
SAP Analytics Cloud User Guide: Enhancing Dimensions with Properties
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