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SAP C_SAC_2415 Practice Test - Questions Answers, Page 6

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How can you limit the refresh time of a story?

A.

Use canvas pages

A.

Use canvas pages

Answers
B.

Collapse the hierarchy

B.

Collapse the hierarchy

Answers
C.

Create calculated measures

C.

Create calculated measures

Answers
D.

Implement a value driver tree

D.

Implement a value driver tree

Answers
Suggested answer: B

Explanation:

Collapsing the hierarchy in a story can help limit the refresh time, as it reduces the amount of data that needs to be processed and displayed at any given time. By presenting data at a higher aggregation level initially, you can improve performance and allow users to expand specific sections of the hierarchy as needed for more detailed analysis.

SAP Analytics Cloud Help Documentation: Improving Story Performance

SAP Analytics Cloud User Guide: Managing Data Hierarchy for Performance

How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.

A.

Select fluid data entry mode in the story.

A.

Select fluid data entry mode in the story.

Answers
B.

Enable Optimize Recommended Planning Area in the model.

B.

Enable Optimize Recommended Planning Area in the model.

Answers
C.

Set Size Limits for Planning Performance in the model.

C.

Set Size Limits for Planning Performance in the model.

Answers
D.

Enable unbooked data in the story.

D.

Enable unbooked data in the story.

Answers
Suggested answer: A, B

You have a story in My Files. You want your colleague to review and comment on the story. What must you do?

A.

Create a Review task for the story

A.

Create a Review task for the story

Answers
B.

Add a Comment widget to the story

B.

Add a Comment widget to the story

Answers
C.

Share with View access

C.

Share with View access

Answers
D.

Include the story in a Discussion

D.

Include the story in a Discussion

Answers
Suggested answer: B

You have a column chart in a story. You notice some of the labels are missing until you mouse over the data point. How can you ensure that the labels are always visible?

A.

Increase the overall size of the chart widget on the page

A.

Increase the overall size of the chart widget on the page

Answers
B.

Select the Avoid Data Label Overlap checkbox

B.

Select the Avoid Data Label Overlap checkbox

Answers
C.

Increase the font size of the axis labels

C.

Increase the font size of the axis labels

Answers
Suggested answer: B

Explanation:

To ensure that labels are always visible on a column chart in a story, you should select the 'Avoid Data Label Overlap' checkbox in the chart's settings. This option adjusts the labels' positioning to prevent overlap, making them visible at all times without the need for mouse-over interaction.

SAP Analytics Cloud Help Documentation: Chart Design and Label Management

SAP Analytics Cloud User Guide: Enhancing Data Label Visibility in Charts

What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.

A.

Use responsive pages

A.

Use responsive pages

Answers
B.

Avaid tables with more than 500 rows and 60 columns

B.

Avaid tables with more than 500 rows and 60 columns

Answers
C.

Load widgets in the background

C.

Load widgets in the background

Answers
D.

Use conditional formatting

D.

Use conditional formatting

Answers
E.

Avaid prompts

E.

Avaid prompts

Answers
Suggested answer: B, C, D

Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.

A.

Large calculation scope

A.

Large calculation scope

Answers
B.

Many story filters

B.

Many story filters

Answers
C.

Many hyperlinks

C.

Many hyperlinks

Answers
D.

Complex formatting

D.

Complex formatting

Answers
E.

Many data sources

E.

Many data sources

Answers
Suggested answer: B, D, E

In a planning data model, what dimensions are included by default? Note: There are 2 correct

Answers to this question.

A.

Date

A.

Date

Answers
B.

Version

B.

Version

Answers
C.

Entity

C.

Entity

Answers
D.

Organization

D.

Organization

Answers
Suggested answer: A, B

Explanation:

In a planning data model in SAP Analytics Cloud, the Date and Version dimensions are included by default. The Date dimension is essential for time-based planning and analysis, while the Version dimension allows for the creation and management of different data scenarios, such as budget, forecast, and actuals. These dimensions provide a foundational structure for planning activities within the model.

SAP Analytics Cloud Help Documentation: Planning Data Model Basics

SAP Analytics Cloud User Guide: Understanding Default Dimensions in Planning Models

Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.

A.

Input data

A.

Input data

Answers
B.

Filter data

B.

Filter data

Answers
C.

Drill down on data

C.

Drill down on data

Answers
D.

Create cross-calculation

D.

Create cross-calculation

Answers
Suggested answer: B, C

Explanation:

In Data Analyzer, users can perform various tasks to analyze their data, including filtering data and drilling down on data. Filtering allows users to narrow down the dataset to focus on specific subsets of data, enhancing the analysis's relevancy. Drilling down provides the ability to explore data at a more granular level, revealing deeper insights into the data points and trends within the larger dataset.

SAP Analytics Cloud Help Documentation: Data Analyzer Usage

SAP Analytics Cloud User Guide: Filtering and Drilling Down in Data Analyzer

In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.

A.

Embedded data set

A.

Embedded data set

Answers
B.

Live data model

B.

Live data model

Answers
C.

Data analyzer insight

C.

Data analyzer insight

Answers
D.

Standalone dataset

D.

Standalone dataset

Answers
E.

Imported data model

E.

Imported data model

Answers
Suggested answer: A, D, E

Explanation:

In SAP Analytics Cloud, data concatenation can be performed on Embedded datasets, Standalone datasets, and Imported data models. This process involves combining data from multiple sources or tables into a single dataset or model, providing a unified view of the data. This is particularly useful for analyses that require a comprehensive dataset compiled from various data sources.

SAP Analytics Cloud Help Documentation: Working with Datasets

SAP Analytics Cloud User Guide: Concatenating Data in Models and Datasets

Which programming language is used for scripting in an SAP Analytics Cloud story?

A.

Python

A.

Python

Answers
B.

Wrangling Expression Language

B.

Wrangling Expression Language

Answers
C.

ABAP

C.

ABAP

Answers
D.

JavaScript

D.

JavaScript

Answers
Suggested answer: D
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