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SAP C_SAC_2415 Practice Test - Questions Answers, Page 4

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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.

A.

SAP Analytics Cloud public dataset

A.

SAP Analytics Cloud public dataset

Answers
B.

SAP HANA view

B.

SAP HANA view

Answers
C.

SAP Datasphere model

C.

SAP Datasphere model

Answers
D.

SAP Analytics Cloud analytic model

D.

SAP Analytics Cloud analytic model

Answers
E.

SAP BusinessObjects Universe

E.

SAP BusinessObjects Universe

Answers
Suggested answer: B, C, D

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?

A.

Create the combined data in the source system.

A.

Create the combined data in the source system.

Answers
B.

Create a calculated dimension in the data model.

B.

Create a calculated dimension in the data model.

Answers
C.

Create a calculated dimension in the story.

C.

Create a calculated dimension in the story.

Answers
D.

Group the Firstname and Lastname in the data model.

D.

Group the Firstname and Lastname in the data model.

Answers
Suggested answer: B

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

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.

A.

Standalone

A.

Standalone

Answers
B.

Embedded

B.

Embedded

Answers
C.

Planning

C.

Planning

Answers
D.

Analytic

D.

Analytic

Answers
Suggested answer: C, D

Which SAP Analytics Cloud feature uses natural language processing?

A.

Digital boardroom

A.

Digital boardroom

Answers
B.

Data analyzer

B.

Data analyzer

Answers
C.

Smart insight

C.

Smart insight

Answers
D.

Just Ask feature

D.

Just Ask feature

Answers
Suggested answer: C

Which automatically created dimension type can you delete from an analytic data model?

A.

Version

A.

Version

Answers
B.

Date

B.

Date

Answers
C.

Organization

C.

Organization

Answers
D.

Generic

D.

Generic

Answers
Suggested answer: D

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

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

A.

Story

A.

Story

Answers
B.

Insight

B.

Insight

Answers
C.

Dataset

C.

Dataset

Answers
D.

Model

D.

Model

Answers
Suggested answer: B

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.

Public datasets

A.

Public datasets

Answers
B.

Source system

B.

Source system

Answers
C.

Stories

C.

Stories

Answers
D.

Embedded data sets

D.

Embedded data sets

Answers
Suggested 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.

SAP Analytics Cloud Help Documentation: Modifying Dimensions

SAP Analytics Cloud User Guide: Impact of Dimension Changes on Stories

Which dimension type can you use like a measure?

A.

Account

A.

Account

Answers
B.

Date

B.

Date

Answers
C.

Organization

C.

Organization

Answers
D.

Entity

D.

Entity

Answers
Suggested answer: A

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

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

A.

Linked dimensions

A.

Linked dimensions

Answers
B.

Charts

B.

Charts

Answers
C.

Conditional formatting

C.

Conditional formatting

Answers
D.

Input controls

D.

Input controls

Answers
E.

Calculated measures

E.

Calculated measures

Answers
Suggested answer: B, C, E

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

A.

Data action

A.

Data action

Answers
B.

Measure

B.

Measure

Answers
C.

Property

C.

Property

Answers
D.

Variable

D.

Variable

Answers
Suggested answer: C

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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