SAP C_SAC_2415 Practice Test - Questions Answers, Page 4

List of questions
Question 31

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

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.
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

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

Which SAP Analytics Cloud feature uses natural language processing?
Digital boardroom
Data analyzer
Smart insight
Just Ask feature
Question 35

Which automatically created dimension type can you delete from an analytic data model?
Version
Date
Organization
Generic
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

You want to save your data analyzer result. What is it saved as?
Question 37

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?
Question 38

Which dimension type can you use like a measure?
Question 39

What features are supported by data analyzer? Note: There are 3 correct answers to this question.
Question 40

In a data model, what can you use to further describe a dimension?
Question