C_SACS_2316 Free Exam Study Guide! (Updated 62 Questions) [Q11-Q28]

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:
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 controls2.
Cascading: This option allows you to create a hierarchy of input controls that depend on each other. You can use this option to filter data based on multiple levels of a dimension, such as Country, Region, and City. You can also use this option to filter data based on different dimensions that are related, such as Product Category and Product Name3.
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 Experiences4.
The other options are not supported in the Optimized Design Experience, because:
Advanced: This option allows you to create complex filters using logical operators, such as AND, OR, and NOT. You can use this option to filter data based on multiple conditions or expressions, such as Revenue > 1000 AND Profit Margin < 10%. Advanced filters are available only in the Classic 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 Experience.
Reference:
1: Choosing Between Optimized and Classic Design Modes – SAP Learning 2: Using Input Controls – SAP Learning 3: Creating Cascading Input Controls – SAP Learning 4: Creating Sections – SAP Learning : [Advanced Filters – SAP Learning] : [Chart Controls – SAP Learning]

Story filters are a feature that allows you to filter the data in a story based on one or more dimensions or measures. You can use story filters to do the following:
They can be applied to all widgets based on the same model. You can choose which widgets are affected by the story filter and which are not.
They can be used to create dynamic titles or text based on the filter values. You can insert filter tokens into titles or text elements to show the current filter values.
They can be used to create input controls that allow users to change the filter values interactively. You can add input controls such as drop-down lists, sliders, checkboxes, etc., to let users select their own filter values.
Story filters cannot do the following:
They cannot be implemented without a model in a template. You need to have a model as a data source for your story before you can apply story filters.
They cannot be used to change dimensions in a widget. You cannot use story filters to swap dimensions in a widget. You have to use the chart builder or the table builder to change dimensions in a widget.
Therefore, the correct answer is They can be applied to all widgets based on the same model, as it is what can be done with story filters. Verified Reference:Filter Data in Stories

An input control is a type of filter that allows you to dynamically change the values of dimensions or measures in your story or application. You can use an input control to filter dimension or measure values and select dimension or measure values for your widgets, such as charts, tables, or geo maps1. For example, you can create an input control that lets you choose which product category or year to display in your chart2.
You cannot use an input control to define a prompt or explore data relationships. A prompt is a filter that is applied to a model before the data is loaded into a story or an application. Prompts allow you to select the data that you want to see in your story or application. You can create prompts in the modeler, not in the story or application3. To explore data relationships, you can use the Smart Discovery feature, which allows you to automatically generate insights and visualizations based on your dat a. You can access Smart Discovery from the context menu of a chart or table widget4.

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.
Reference:
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]

This is one of the story guidelines recommended by SAP Analytics Cloud. According to the course material1, “When designing your stories, keep them as simple as possible. In general, it is easier for users to consume story content if it is present in smaller bits rather than have a few large stories with many pages to navigate.” The other options are not mentioned as guidelines in the course material.
1: Introducing SAP Analytics Cloud Story Design | SAP Training 2

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

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.
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

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]