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NEW QUESTION # 16
You are using a model that includes a prompt.When is the prompt presented at runtime?

• A. After all widgets are rendered
• B. Before data can be displayed
• C. After navigating to the widget based on the model
• D. Before predefined widgets are rendered

Answer: B

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 Reference: [SAP Analytics Cloud - Prompting]

NEW QUESTION # 17
To which models can you add data point comments? Note: There are 2 correct answers to this question.

• A. Blended model
• B. SAP S/4HANA live model
• C. Import planning model
• D. BPC live model

Answer: A,C

NEW QUESTION # 18
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. Transform bar
• C. Formula bar
• D. Calculation editor

Answer: A,B

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 # 19
Using the SAP Analytics Cloud mobile app, what page type is required for viewing stories?

• A. Grid
• B. Canvas
• C. Responsive

Answer: C

NEW QUESTION # 20
Which add-ons can you configure for a chart? Note: There are 2 correct answers to this question.

• A. Variance
• B. Scaling
• C. Linked Analysis
• D. In-Cell Charts

Answer: A,D

Explanation:
According to the SAP Help Portal1, you can configure different add-ons for a chart to enhance its appearance and functionality. Some of the add-ons that are available are:
Variance: This add-on allows you to compare two measures and show the difference and percentage difference between them. You can also choose to display the variance as a bar, line, or area chart on top of the original chart2.
Scaling: This add-on allows you to adjust the scale of the chart axes to better fit the data range. You can choose to use a linear, logarithmic, or percentage scale for the axes3.
Linked Analysis: This add-on allows you to link multiple charts or tables that share the same data source. When you select a data point in one chart or table, the other linked charts or tables will filter accordingly4.
In-Cell Charts: This add-on allows you to display mini charts within the cells of a table. You can choose from different types of in-cell charts, such as bullet, bar, or sparkline charts5.
Therefore, Variance and In-Cell Charts are add-ons that can be configured for a chart, while Scaling and Linked Analysis are not.

NEW QUESTION # 21
What is a property of a public dataset?

• A. It can be shared among different stories.
• B. It can be converted to a model.
• C. Its data is structured in a star schema.
• D. Its data source can be changed.

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 # 22
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. Ghost loading indicators
• C. Improved tooltip interactions
• D. Navigation of small hierarchies

Answer: B,C

NEW QUESTION # 23
To which of the following can you add a section?

• A. Table
• B. Chart
• C. Digital Boardroom
• D. Canvas page

Answer: D

NEW QUESTION # 24
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. Shows the connection between two locations-D
• C. Applies blocks of shading to different geographical locations_B
• D. Uses color to visualize the data density of the selected measure-E
• E. Sets of geographical data that can be added to a geo map and analyzed with reference to business data from a model-A

Answer: A,B,C,D,E

NEW QUESTION # 25
Which story page types are imported into the SAP Digital Boardroom builder?

• A. Canvas and grid
• B. Responsive and grid
• C. Responsive and canvas

Answer: C

NEW QUESTION # 26
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. Blended model
• D. BPC live model

Answer: B,D

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 dat a. 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.
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]

NEW QUESTION # 27
What does the model setting Optimize Story Building Performance do in a story?

• A. It forces the story to be designed in the Optimized Design Experience.
• B. It prevents the automatic refresh of data during story design.
• C. It disables the Classic Design Experience,
• D. It automatically turns on parallel processing of SAP BW queries.

Answer: B

NEW QUESTION # 28
What can be done with story filters?

• A. They can be applied to all widgets based on the same model.
• B. They can be implemented without a model in a template.
• C. They can be used to change dimensions in a widget.

Answer: A

NEW QUESTION # 29
Which sort options are available in stories?Note: There are 2 correct answers to this question.

• A. Dimensions and measures together
• B. Multiple measures together
• C. Ascending and descending order
• D. Multiple dimensions together

Answer: C,D

NEW QUESTION # 30
What is a property of a public dataset?

• A. It can be shared among different stories.
• B. It can be converted to a model.
• C. Its data is structured in a star schema.
• D. Its data source can be changed.

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 # 31
In a calculated measure, when a denominator is null or zero, what symbol is displayed?

• A. _
• B. /
• C. +
• D. #

Answer: D

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 # 32
Which of the following are necessary for Linked Analysis?

• A. Multiple stories
• B. Multiple pages
• C. Multiple data models
• D. Multiple widgets

Answer: D

Explanation:
Linked Analysis is a feature that allows you to link multiple widgets in a story based on the same model. You can use Linked Analysis to do the following:
Filter data in multiple widgets by selecting a data point in one widget. For example, if you select Soft Drinks in a chart, all the other linked widgets will show data for Soft Drinks only.
Drill down or up in multiple widgets by changing the level of detail in one widget. For example, if you drill down from Product Category to Product Name in a table, all the other linked widgets will show data for Product Name as well.
Highlight data in multiple widgets by hovering over a data point in one widget. For example, if you hover over Germany in a geo map, all the other linked widgets will highlight the data for Germany.
To use Linked Analysis, you need to have the following:
Multiple widgets based on the same model. You can link any type of widget, such as charts, tables, geo maps, etc., as long as they are based on the same model.
A common dimension or measure between the widgets. You can link widgets based on any dimension or measure that they share in common.
You do not need to have the following for Linked Analysis:
Multiple stories. You can use Linked Analysis within the same story. You cannot link widgets across different stories.
Multiple data models. You can use Linked Analysis with one model only. You cannot link widgets based on different models.
Multiple pages. You can use Linked Analysis within the same page. You cannot link widgets across different pages.
Therefore, the correct answer is Multiple widgets, as it is the necessary element for Linked Analysis. Verified Reference:: Link Widgets with Linked Analysis

NEW QUESTION # 33
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. Ghost loading indicators
• C. Improved tooltip interactions
• 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 # 34
How does the SAP Digital Boardroom support engaging with a remote audience? Note: There are 2 correct answers to this question.

• A. Through annotations
• B. Through Data Analyzer
• C. Through story editing
• D. Through screen sharing

Answer: A,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 Reference: [SAP Analytics Cloud - Digital Boardroom]

NEW QUESTION # 35
What are the presentation types for the Digital Boardroom? Note: There are 2 correct answers to this question.

• A. Agenda
• B. Canvas
• C. Dashboard
• D. Custom

Answer: A,C

NEW QUESTION # 36
For which of the following tasks can you use an input control? Note: There are 2 correct answers to this question.

• A. Define a prompt
• B. Select dimension or measure
• C. Explore data relationships
• D. Filter dimension or measure

Answer: B,D

NEW QUESTION # 37
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