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SAP C_SACS_2321 Exam Syllabus Topics:
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NEW QUESTION # 12
Please match layers that you can add to a Geo Map to their corresponding descriptions.
A) Points of Interest Layer Choropleth/Drill
B) LayerC) Feature Layer
D) Flow Layer
E) Heat Map Layer.
- A. Uses external data from valid service URLs. This data is layered on top of your existing geo map to provide additional context-C
- B. Uses color to visualize the data density of the selected measure-E
- C. Sets of geographical data that can be added to a geo map and analyzed with reference to business data from a model-A
- D. Shows the connection between two locations-D
- E. Applies blocks of shading to different geographical locations_B
Answer: A,B,C,D,E
Explanation:
Points of Interest Layer - Sets of geographical data that can be added to a geo map and analyzed with reference to business data from a model. For example, you can add points of interest layer that shows the locations of your customers or stores on a geo map.
Choropleth/Drill Layer - Applies blocks of shading to different geographical locations based on the value of the selected measure. For example, you can add choropleth/drill layer that shows the sales revenue by country or region on a geo map.
Feature Layer - Uses external data from valid service URLs. This data is layered on top of your existing geo map to provide additional context. For example, you can add feature layer that shows the traffic conditions or weather information on a geo map.
Flow Layer - Shows the connection between two locations based on the value of the selected measure. For example, you can add flow layer that shows the trade volume or migration patterns between countries or regions on a geo map.
Heat Map Layer - Uses color to visualize the data density of the selected measure. For example, you can add heat map layer that shows the population density or crime rate by area on a geo map. Verified [SAP Analytics Cloud - Geo Maps]
NEW QUESTION # 13
Which dataset types does SAP Analytics Cloud support?Note: There are 2 correct answers to this question.
- A. Public
- B. Import
- C. Embedded
- D. Live
Answer: A,C
Explanation:
The correct answers are B. Public and D. Embedded. These are two of the dataset types that SAP Analytics Cloud supports, according to the SAP Help Portal1. A public dataset is a standalone dataset that is stored in SAP Analytics Cloud and can be found in a folder location on the Files page1. An embedded dataset is a dataset that is saved within a story and does not appear in the Files list1. You can convert an embedded dataset to a public one if you want others to be able to use it1.
The other options,
A) Import and C) Live, are not dataset types, but data source types. You can import data from a file or other data source to create a dataset or a model2. You can also use live data from a source system to create a model, but not a dataset2.
1: About Datasets and Dataset Types | SAP Help Portal 3 2: Choose Between Datasets and Models | SAP Help Portal
NEW QUESTION # 14
Which story data source does NOT require a model be created in SAP Analytics Cloud?
- A. SAP BusinessObjects Web Intelligence document
- B. SAP S/4HANA
- C. SAP Datasphere
- D. SAP Business Warehouse
Answer: C
Explanation:
SAP Datasphere is a data source that does not require a model to be created in SAP Analytics Cloud. You can use a SAP Datasphere connection to access or import data directly into your story, with no need for a SAP Analytics Cloud model to be created1 SAP Business Warehouse, SAP S/4HANA, and SAP BusinessObjects Web Intelligence document are data sources that require a model to be created in SAP Analytics Cloud. You cannot access or import data from these sources directly into your story, but you need to create a model in SAP Analytics Cloud using the connections to these sources234
NEW QUESTION # 15
What does the model setting Optimize Story Building Performance do in a story?
- A. It automatically turns on parallel processing of SAP BW queries.
- B. It disables the Classic Design Experience,
- C. It forces the story to be designed in the Optimized Design Experience.
- D. It prevents the automatic refresh of data during story design.
Answer: D
Explanation:
The model setting Optimize Story Building Performance prevents the automatic refresh of data during story design. This means that users can design stories without waiting for the data to load every time they make a change. Users can manually refresh the data when they want to see the updated results. The model setting does not affect the design experience, the parallel processing, or the story editing. Verified [SAP Analytics Cloud - Optimize Story Building Performance]
NEW QUESTION # 16
What is a property of a public dataset?
- A. It can be shared among different stories.
- B. Its data source can be changed.
- C. It can be converted to a model.
- D. Its data is structured in a star schema.
Answer: A
Explanation:
A public dataset is a type of dataset that is shared among different stories. You can use public datasets to create stories or blend data with models. A public dataset has the following properties:
It can be shared among different stories. You can use public datasets in multiple stories without having to import them again.
It cannot be converted to a model. You cannot convert a public dataset to a model. If you want to create a model from a public dataset, you have to import it as a private dataset first.
Its data is not structured in a star schem
a. A public dataset does not have any predefined dimensions or measures. It only has columns and rows of data.
Its data source cannot be changed. You cannot change the data source of a public dataset after you import it. If you want to update the data in a public dataset, you have to import a new file.
NEW QUESTION # 17
You are using a model that includes a prompt.When is the prompt presented at runtime?
- A. Before data can be displayed
- B. After navigating to the widget based on the model
- C. After all widgets are rendered
- D. Before predefined widgets are rendered
Answer: A
Explanation:
When a model includes a prompt, the prompt is presented at runtime before data can be displayed in the story. The prompt allows users to select the values they want to filter the data by. The prompt is not related to the predefined widgets, the rendering of widgets, or the navigation to widgets. Verified [SAP Analytics Cloud - Prompting]
NEW QUESTION # 18
To which of the following can you add a section?
- A. Chart
- B. Canvas page
- C. Digital Boardroom
- D. Table
Answer: B
Explanation:
You can add a section to a canvas page in a story. A section is a container that holds one or more widgets and can be used to group related content or apply filters. A digital boardroom, a table, and a chart are not valid targets for adding a section; they are either different types of presentations or widgets that can be added to a section. Verified [SAP Analytics Cloud - Sections]
NEW QUESTION # 19
What are some guidelines does SAP recommend you follow when you create a story? Note:
There are 2 correct answers to this question.
- A. Use corporate branding standards.
- B. Have a clear message.
- C. Use grouping.
- D. Avoid pie charts.
Answer: A,B
Explanation:
The correct answers are C. Have a clear message and D. Use corporate branding standards.
These are some of the guidelines that SAP recommends you follow when you create a story. According to the course material1, "Your current reporting and dashboard standards will suffice for SAP Analytics Cloud stories. And if you do not have reporting or dashboard standards, this is the perfect time to create them." The course material also suggests that you should "have a clear message and purpose for your story" and "use corporate branding standards to ensure consistency and professionalism"1.
The other options are not mentioned as guidelines in the course material. Option A) Use grouping is a feature that allows you to group data points in a chart or table, but it is not a general design principle. Option B. Avoid pie charts is a common advice for data visualization, but it is not specific to SAP Analytics Cloud stories.
1: Introducing SAP Analytics Cloud Story Design | SAP Training 2
NEW QUESTION # 20
In a calculated measure, when a denominator is null or zero, what symbol is displayed?
- A. _
- B. /
- C. #
- D. +
Answer: C
Explanation:
A calculated measure is a type of measure that is derived from an expression or formula based on existing measures or dimensions. You can use calculated measures to perform various calculations on your data, such as ratios, percentages, differences, etc. However, some calculated measures may result in errors or invalid values when the denominator is null or zero.
For example, if you try to calculate the profit margin as (Profit / Revenue) * 100, and the revenue is zero, you will get an error. In such cases, SAP Analytics Cloud displays a symbol instead of a value for the calculated measure. The symbol that is displayed when the denominator is null or zero is # (hash sign). Therefore, the correct answer is #, as it is the symbol that is displayed when the denominator is null or zero in a calculated measure. Verified Reference:
: Create Calculated Measures
NEW QUESTION # 21
In which of the following are datapoint comments stored?
- A. In the page
- B. In the story
- C. In the data model
- D. In the widget
Answer: C
Explanation:
Datapoint comments are stored in the data model, not in the widget, page, or story. This means that datapoint comments are visible across different stories that use the same model, and they are preserved when a story is duplicated or exported. Verified [SAP Analytics Cloud - Datapoint Comments]
NEW QUESTION # 22
Which of the following can you use to create a chart for each member of a dimension?
- A. In-Cell Charts
- B. Value Driver Tree
- 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.
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
NEW QUESTION # 23
Which element is NOT available in the Optimized Design Experience?
- A. Grid page
- B. Time Series chart
- C. Data Analyzer
- D. Responsive page
Answer: A
Explanation:
The Optimized Design Experience is a new user interface for SAP Analytics Cloud that simplifies and enhances the story design process. The Optimized Design Experience introduces some new elements and tools, such as Data Analyzer, Point of Interest, Time Series chart, etc. However, it also removes some elements and tools that are available in the Classic Design Experience, such as Grid page, Explorer, Digital Boardroom, etc. Therefore, the correct answer is Grid page, as it is the element that is not available in the Optimized Design Experience.
NEW QUESTION # 24
What are benefits of using the Optimized Design Experience?Note: There are 2 correct answers to this question.
- A. Support for older versions of SAP HANA and SAP BW
- B. Improved tooltip interactions
- C. Ghost loading indicators
- D. Navigation of small hierarchies
Answer: B,C
Explanation:
The Optimized Design Experience is a new user interface for SAP Analytics Cloud that simplifies and enhances the story design process. The Optimized Design Experience offers some benefits over the Classic Design Experience, such as:
Improved tooltip interactions: You can hover over any data point in a chart to see a tooltip with more information. You can also click on the tooltip to access more actions, such as filtering, drilling, commenting, etc.
Ghost loading indicators: You can see a ghost image of the elements on a page while they are loading. This gives you a preview of the layout and size of the elements before they are fully rendered.
Data Analyzer: You can use Data Analyzer to quickly create ad hoc analysis based on models or datasets. You can also save your analysis as stories or pin them to your home page.
Point of Interest: You can use Point of Interest to highlight a specific data point or area in a chart. You can also add annotations, comments, or links to the Point of Interest.
Time Series chart: You can use Time Series chart to create interactive and animated charts that show how data changes over time. You can also customize the appearance and behavior of the Time Series chart.
Therefore, the correct answer is Improved tooltip interactions and Ghost loading indicators, as they are the benefits of using the Optimized Design Experience. Verified Reference:
: Optimized Design Experience Overview
NEW QUESTION # 25
How does the SAP Digital Boardroom support engaging with a remote audience? Note: There are 2 correct answers to this question.
- A. Through story editing
- B. Through Data Analyzer
- C. Through annotations
- D. Through screen sharing
Answer: C,D
Explanation:
The SAP Digital Boardroom supports engaging with a remote audience through annotations and screen sharing. Annotations allow users to highlight or draw on the screen using different colors and shapes, which can help to emphasize key points or explain complex concepts. Screen sharing allows users to share their screen with other participants who join the digital boardroom session via a web browser, which can help to facilitate collaboration and communication. Data Analyzer and story editing are not features that support engaging with a remote audience; they are features that allow users to analyze data or modify stories in the digital boardroom. Verified
[SAP Analytics Cloud - Digital Boardroom]
NEW QUESTION # 26
When you import a file for a story, which of the following can you use for data wrangling? Note:
There are 2 correct answers to this question.
- A. Custom expression editor
- B. Formula bar
- C. Calculation editor
- D. Transform bar
Answer: A,D
Explanation:
These are two of the options that you can use for data wrangling when you import a file for a story in SAP Analytics Cloud, according to the SAP Help Portal1. Data wrangling is the process of cleaning, structuring, and enriching raw data into a desired format for better decision making in less time2.
The custom expression editor is a tool that allows you to create or edit formulas and expressions for your data columns3. You can access the custom expression editor by clicking on the formula icon in the builder panel or by double-clicking on a column header in the data view3. The custom expression editor provides a list of functions and operators that you can use to manipulate your data, such as arithmetic, logical, string, date, and aggregation functions3. You can also use the custom expression editor to create calculated columns or measure-based dimensions from your existing columns3.
The transform bar is a tool that allows you to apply various transformations to your data columns, such as renaming, reordering, grouping, splitting, merging, or deleting columns4. You can access the transform bar by clicking on the transform icon in the builder panel or by right- clicking on a column header in the data view4. The transform bar provides a list of actions that you can use to modify your data structure, such as move left, move right, group by, split by delimiter, merge columns, or delete column4. You can also use the transform bar to change the data type or format of your columns, such as text, number, date, currency, or percentage4.
NEW QUESTION # 27
What is a unique quality of viewing stories on a mobile device?
- A. Stories render only in landscape mode for phones.
- B. Stories render only in portrait mode for tablets.
- C. Stories rotate their orientation as you rotate the device.
- D. Stories do not rotate their orientation.
Answer: D
Explanation:
According to the SAP Help Portal1, stories can be viewed only in portrait mode for phones and landscape mode for tablets; the stories do not rotate their orientation. This is a unique quality of viewing stories on a mobile device, as opposed to viewing them on a computer browser, where the stories can be rotated and resized according to the screen dimensions. Therefore, it is important to design stories for mobile devices using the Responsive page and the Device Preview Bar in SAP Analytics Cloud Story Design.
NEW QUESTION # 28
Which calculation type can you use to categorize dimension members?
- A. Calculated dimension
- B. Difference from
- C. Dimension to measure
- D. Measure-based dimension
Answer: D
Explanation:
This is a calculation type that you can use to categorize dimension members, according to the SAP Analytics Cloud Help1. A measure-based dimension is a dimension that is created from a measure by applying a range or a binning function1. For example, you can create a measure- based dimension called Age Group from a measure called Age by using the binning function to group the age values into different categories, such as 0-10, 11-20, 21-30, and so on1. This way, you can analyze your data by the age groups instead of the individual age values1.
The other options are not correct. Option A. Difference from is a calculation type that you can use to compare the difference between two measures or two members of a dimension2. For example, you can use this calculation type to show the difference between the sales revenue of this year and last year2. Option B. Dimension to measure is a calculation type that you can use to convert a dimension to a measure by counting the number of distinct values in the dimension3. For example, you can use this calculation type to count the number of unique customers in your data3. Option D. Calculated dimension is a calculation type that you can use to create a new dimension from an existing dimension by applying a formula or an expression4. For example, you can use this calculation type to create a new dimension called Region from an existing dimension called Country by using a formula to assign each country to a region4.
1: Measure-Based Dimensions | SAP Help Portal 2: Difference From | SAP Help Portal 3:
Dimension To Measure | SAP Help Portal 4: Calculated Dimensions | SAP Help Portal
NEW QUESTION # 29
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 Siblings
- B. Self and Descendants
- C. Self and Children
- D. Self
Answer: B
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 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.
1: Styling Rules for Tables
NEW QUESTION # 30
When you are adding a calculation to a table (see graphic below) and choose Single, to which of the following is the new column added?
- A. Story repository
- B. Selected dimension member
- C. Every dimension member
- D. @Data model
Answer: B
Explanation:
When you are adding a calculation to a table, you can choose from two options: Single or Multiple. The option determines how many new columns are added to the table based on the calculation. The options are:
Single: Adds one new column to the table with the calculation result for the selected dimension member. For example, if you select Soft Drinks and choose Single, you will get one new column with the calculation result for Soft Drinks only.
Multiple: Adds multiple new columns to the table with the calculation result for each dimension member. For example, if you select Soft Drinks and choose Multiple, you will get three new columns with the calculation result for Soft Drinks, Juice, and Alcohol.
Therefore, the correct answer is Selected dimension member, as it is the option that the new column is added to when you choose Single. Verified Reference:
: Create Calculations in Tables
NEW QUESTION # 31
Which of the following does a component filter affect?
- A. Model
- B. Version
- C. Story
- D. Itself
Answer: D
Explanation:
A component filter affects only itself, meaning that it applies a filter to the data displayed in a single widget, such as a chart or a table. A component filter does not affect the story, the version, or the model; these are different levels of filtering that can be applied to the data in a story. Verified [SAP Analytics Cloud - Filter Data in Stories]
NEW QUESTION # 32
To which models can you add data point comments? Note: There are 2 correct answers to this question.
- A. BPC live model
- B. Import planning model
- C. Blended model
- D. SAP S/4HANA live model
Answer: A,B
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 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.
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]
NEW QUESTION # 33
Which of the following can you use to change the formatting of a table in the Styling panel?
Note: There are 2 correct answers to this question.
- A. In-Cell Charts
- B. Table template
- C. Styling rules
- D. Thresholds
Answer: B,C
Explanation:
You can use table templates and styling rules to change the formatting of a table in the Styling panel. Table templates allow you to apply predefined formats to tables, such as alternating row colors, grid lines, and font sizes. Styling rules allow you to apply conditional formatting to tables, such as changing the background color, font color, or icon based on certain criteri a. In-cell charts and thresholds are not available in the Styling panel; they are options that can be enabled or disabled in the Builder panel. Verified [SAP Analytics Cloud - Table Formatting]
NEW QUESTION # 34
Which filter options are supported in the Optimized Design Experience? Note: There are 3 correct answers to this question.
- A. Story
- B. Controls
- C. Input Control
- D. Section
- E. Widget
Answer: A,C,E
Explanation:
The Optimized Design Experience is a new design option for creating stories in SAP Analytics Cloud. It offers several usability improvements and performance enhancements compared to the Classic Design Experience. However, it also has some limitations and differences, such as the unavailability of some elements that are present in the Classic Design Experience1.
The following filter options are supported in the Optimized Design Experience:
Widget: This option allows you to apply filters to a specific widget, such as a chart, table, or map, that are based on the same model. You can use the Filter area in the Builder pane to pre- filter the data that the widget displays2.
Story: This option allows you to apply filters to all widgets in a story that are based on the same model. You can use the Story Filters tool in the Tools section to select dimensions or measures that you want to filter by2.
Input Control: This option allows you to add interactive filters to a story page that allow the story viewers to filter data, compare figures, and explore relationships directly from the page. You can use the Input Controls tool in the Tools section to select dimensions or measures that you want to use as input controls3.
The following filter options are not supported in the Optimized Design Experience:
Controls: This option is not a valid filter option in SAP Analytics Cloud. It may refer to input controls, which are supported, or chart controls, which are not supported. Chart controls are buttons that allow you to change the chart type, switch between absolute and relative values, or drill up and down in a hierarchy. Chart controls are available only in the Classic Design Experience4.
Section: This option is not a filter option, but 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 dimension.
Sections are available in both the Optimized and Classic Design Experiences.
1: Choosing Between Optimized and Classic Design Modes - SAP Learning 2: Filtering Data in Optimized Design Mode - SAP Learning 3: Using Input Controls - SAP Learning 4: Chart Controls - SAP Learning : [Creating Sections - SAP Learning]
NEW QUESTION # 35
What language does the Custom Expression Editor use?
- A. Structured Query Language
- B. JavaScript
- C. Hypertext Markup Language
- D. dWrangling Expression Language
Answer: D
Explanation:
The Custom Expression Editor is a tool that allows you to create complex calculations using a syntax called Wrangling Expression Language (WEL). WEL is a domain-specific language that is designed for data manipulation and analysis. WEL supports various operators, functions, and constants that you can use to create custom expressions. You can access the Custom Expression Editor from various places in SAP Analytics Cloud, such as models, stories, datasets, etc.
Therefore, the correct answer is Wrangling Expression Language, as it is the language that the Custom Expression Editor uses. Verified Reference:
: Create Custom Expressions with the Custom Expression Editor
NEW QUESTION # 36
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