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SAP C_SACS_2308 Exam
SAP Certified Application Associate - SAP Analytics Cloud Story Design
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1.Where can you define a calculation for a table? Note: There are 3 correct answers to this question.
A. Table
B. Model
C. Calculation editur
D. Story
E. Pago
Answer: ACD
Explanation:
You can define a calculation for a table in three ways:
Table: You can add a simple calculation by selecting two measures in a table, right-clicking, choosing Add
calculation, and choosing the calculation you want. You can also add a repeating or single column or row
to a table by right-clicking on a measure or dimension and choosing Add Calculation1. Calculation editor:
You can open the calculation editor from the drop-down menu of Measures or Dimensions in the Designer
Panel and create complex calculations for a chart or table. For each type of calculation, a new calculated
member is created. You can also use dimension attributes as part of a calculation2.
Story: You can create a calculated measure in the Builder pane of a story. When setting up your
calculation, you apply the typical formula functions, conditions, and operators to the data contained
in your model. Calculated measures allow you to perform mathematical and Boolean operations on
your data1.
Reference:
1: Calculating Data in Stories - SAP Learning 2: SAP Analytics Cloud In-story Calculation Series – An
Introduction
2.You want to blend data in a story from two models (see graphic below). Model 1 is the primary model.
Which link type returns what data Primary All Intersection
Which link type returns what data?
A. Primary
B. All
C. Intersection
Answer: C
Explanation:
The link type determines how the data from the primary and secondary models are blended in a story.
There are three link types: Primary, All, and Intersection1.
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Primary: Only the data from the primary model that matches the data from the secondary model is
displayed. This is equivalent to an inner join in SQL.
All: All the data from both models is displayed, regardless of whether they match or not. This is equivalent
to a full outer join in SQL.
Intersection: Only the data that exists in both models is displayed. This is equivalent to an intersection in
set theory.
In this case, the link type that returns what data is Intersection, because it only shows the data that is
common to both models, such as Customer A and Customer
B. Customer C and Customer D are excluded because they do not exist in both models.
Reference:
1: Blending Data from Multiple Models
3.When you save a story as a template, what happens?
A. Custom widgets are removed.
B. Custom formatting is retained.
C. Standard widgets remain intact.
D. All data is removed.
Answer: D
Explanation:
When you save a story as a template, you can use it as a starting point for creating new stories with the
same layout and formatting. However, all the data from the original story is removed and replaced by
placeholders for charts, tables, maps, input controls, and value driver trees. This way, you can easily add
new data sources and models to the template without affecting the existing ones1. Custom formatting,
such as story background, chart color palettes, fonts, and borders, is retained in the template2. Custom
widgets, such as images, shapes, texts, and buttons, are also preserved in the template3. Standard
widgets, such as charts, tables, maps, input controls, and value driver trees, are converted into empty
placeholders that can be filled with new data3.
Reference:
1: Create and Use Story Templates 2: Story Templates in SAP Analytics Cloud 3: Building Stories from a
Template
4.In a story, to which of the following is chart scaling applied? Note: There are 2 correct answers to this
question.
A. Specific page
B. All measures
C. All pages
D. Specific measure
Answer: AD
Explanation:
Chart scaling is a feature that ensures that you have a meaningful display of values across multiple charts
in a story. By default, charts are not scaled, which can lead to incorrect data analysis, particularly if users
are not paying attention to the actual values displayed in the chart1.
Chart scaling is applied to the following:
Specific page: Chart scaling is applied to all of the charts on a page, but the scaling may be different for
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the same measure on different pages, because the scaling factor is calculated separately for each page1.
Specific measure: Chart scaling is applied to a specific measure in a chart, and it affects all the charts
that contain that measure on the same page. You can exclude charts from the scaling by selecting the
chart and choosing Exclude from Scaling in the context menu1. Chart scaling is not applied to the
following:
All measures: Chart scaling is not applied to all the measures in a story, only to the ones that are selected
for scaling. You can select which measures to scale by choosing Scale Measures in the context menu of
any chart on a page1.
All pages: Chart scaling is not applied to all the pages in a story, only to the ones that have scaling
enabled. You can enable or disable scaling for a page by choosing Enable Scaling or Disable Scaling in
the context menu of any chart on a page1.
Reference:
1: Chart Scaling - SAP Learning
5.Which of the following are required to configure a section in a story? Note: There are 2 correct answers
to this question.
A. Optimized Design Experience
B. Dimension
C. Classic Design Experience
D. Widget
Answer: BD
Explanation:
A section is a way to group and organize widgets in a story based on a dimension.
To create a section, you need to have the following:
A dimension that you want to use as the basis for grouping the widgets. You can choose any dimension
from any model in the story.
One or more widgets that you want to display in each section. You can add any type of widget, such as
charts, tables, geo maps, etc.
You can create sections in both the Classic Design Experience and the Optimized Design Experience, but
the process is slightly different. Therefore, the correct answer is dimension and widget, as they are
required to configure a section in a story
6.In a table you display a time hierarchy with the years 2024, 2025, and 2026. Months, quarters, and half
years are also displayed for each year. You want to apply the formatting of the year 2024 to the years
2025 and 2026.
In styling rules, which level option do you select?
A. Self and Children
B. Self
C. Self and Descendants
D. Self and Siblings
Answer: C
Explanation:
To apply the formatting of the year 2024 to the years 2025 and 2026, you need to use the level option Self
and Descendants in the styling rules. This option applies the formatting to the selected member and all its
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lower-level members in the hierarchy1. In this case, the selected member is the year 2024, and its
lower-level members are the months, quarters, and half years that belong to 2024. The formatting will also
be applied to the years 2025 and 2026, and their lower-level members, because they are at the same
level as 2024 in the hierarchy.
The other level options are:
Self: This option applies the formatting only to the selected member, not to any other members in the
hierarchy1. In this case, the selected member is the year 2024, and the formatting will not be applied to
any other years or lower-level members.
Self and Siblings: This option applies the formatting to the selected member and all its siblings, which are
members at the same level in the hierarchy1. In this case, the selected member is the year 2024, and its
siblings are the years 2025 and 2026. The formatting will be applied to these three years, but not to their
lower-level members.
Self and Children: This option applies the formatting to the selected member and its immediate children,
which are members one level below in the hierarchy1. In this case, the selected member is the year 2024,
and its immediate children are the quarters and half years that belong to 2024. The formatting will be
applied to these members, but not to any other years or months.
Reference: 1: Styling Rules for Tables
7.To which models can you add data point comments? Note: There are 2 correct answers to this question.
A. SAP S/4HANA live model
B. Import planning model
C. BPC live model
D. Blended model
Answer: BC
Explanation:
Data point comments are a feature that allows you to add comments to specific data points in a story. You
can use data point comments to provide additional information, context, or feedback on the data. You can
also reply to, edit, or delete existing comments.
Data point comments are supported for the following models:
Import models
Planning models
Blended models
Data point comments are not supported for live models, such as SAP S/4HANA live model or BPC live
model. Therefore, the correct answer is Import planning model and Blended model, as they are the
models that support data point comments.
Data point comments are comments that you can add to a specific value in a table or a comment widget.
They are similar to commenting on a single cell in Microsoft Excel. Data point comments are associated
with the models, which means that they will appear in any story that uses the same model and has the
same value in a table or a comment widget1. Data point comments can be added to the following models:
Import planning model: This is a model that you create by importing data from a file or a database. You
can use this model for planning scenarios, such as budgeting, forecasting, or what-if analysis. You can
enable data point comments for this model by selecting the Allow Data Point Comments option in the
model properties2.
BPC live model: This is a model that you create by connecting to a SAP Business Planning and
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Consolidation (BPC) system. You can use this model for real-time planning and analysis with BPC data.
You can enable data point comments for this model by selecting the Allow Data Point Comments option in
the model properties3.
Data point comments cannot be added to the following models:
SAP S/4HANA live model: This is a model that you create by connecting to a SAP S/4HANA system.
You can use this model for real-time analysis with SAP S/4HANA data. However, this model does not
support data point comments, because it is read-only and does not allow any changes to the data4.
Blended model: This is a model that you create by blending data from two or more models. You can
use this model for combining and analyzing data from different sources. However, this model does
not support data point comments, because it is derived from other models and does not have its
own data.
Reference:
1: Using Data Point Comments - SAP Learning 2: Creating an Import Planning Model - SAP
Learning 3: Creating a BPC Live Model - SAP Learning 4: Creating an SAP S/4HANA Live Model - SAP
Learning: [Blending Data from Multiple Models - SAP Learning]
8.Which of the following can you use to create a chart for each member of a dimension?
A. Value Driver Tree
B. In-Cell Charts
C. Trellis
D. Section
Answer: D
Explanation:
A section is a way of organizing a story into different parts based on a dimension. A section creates a
separate page for each member of the dimension, and displays the same widgets on each page with the
data filtered by the section dimension1. For example, if you create a section based on the Country
dimension, you will have a page for each country in your data, and the charts and tables on each page will
show only the data for that country. The other options are not correct because:
Value Driver Tree: This is a widget that allows you to create a graphical representation of how different
drivers affect a key performance indicator (KPI). You can use this widget to perform simulations and
what-if scenarios on your data2. However, this widget does not create a chart for each member of a
dimension.
In-Cell Charts: These are mini charts that are displayed within table cells to show the relative values of
measures. You can use this feature to enhance the readability and analysis of your data3. However, this
feature does not create a chart for each member of a dimension.
Trellis: This is a feature that allows you to split a chart into multiple smaller charts based on one or more
dimensions. You can use this feature to compare and contrast different segments of your data4. However,
this feature does not create a separate page for each member of a dimension.
Reference: 1: Creating Sections - SAP Learning 2: Using Value Driver Trees - SAP Learning 3: Using
In-Cell Charts SAP Learning 4: Using Trellis Charts - SAP Learning
9.In the Optimized Design Experience, which SAP Analytics Cloud tool replaces Explorer?
A. Point of Interest
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B. Data Analyzer
C. Modeler
D. Value Driver Trees
Answer: B
Explanation:
In the Optimized Design Experience, Data Analyzer is a new tool that replaces Explorer. Data Analyzer
allows you to quickly create ad hoc analysis based on models or datasets. You can use Data Analyzer to
explore data, create charts and tables, apply filters and calculations, and save your analysis as stories.
Data Analyzer is similar to Explorer, but with some enhancements and new features, such as:
Support for both models and datasets
Support for planning models
Support for story calculations
Support for linked analysis
Support for responsive pages
Therefore, the correct answer is Data Analyzer, as it is the tool that replaces Explorer in the Optimized
Design Experience
10.What are limitations of datasets?Note: There are 2 correct answers to this question.
A. They cannot be scheduled.
B. They do not support column-based or property security.
C. They do not support transformations.
D. They cannot overwrite imported data.
Answer: AB
Explanation:
A dataset is a type of data source that allows you to import data from files, such as Excel or CSV files.
You can use datasets to create stories or blend data with models. However, datasets have some
limitations, such as:
They cannot be scheduled. You have to manually refresh the data in a dataset.
They do not support column-based or property security. You cannot restrict access to certain columns or
properties in a dataset.
They do not support transformations. You cannot apply any transformations to the data in a dataset. They
can overwrite imported data. You can choose to append or replace the data in a dataset when you import
a new file.
Therefore, the correct answer is They cannot be scheduled and They do not support column-based or
property security, as they are the limitations of datasets.
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