Free SAP C_SACS_2321 Practice Exam with Questions & Answers

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.

The Digital Boardroom is a feature that allows you to create immersive and interactive presentations based on stories. You can use the Digital Boardroom to present your data and insights on multiple screens connected to a single device. The Digital Boardroom supports up to three screens that can display different views of the same story or different stories. Therefore, the correct answer is 3, as it is the maximum number of screens you can connect to the Digital Boardroom. Verified References:

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 References: [SAP Analytics Cloud - Prompting]

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

The design options that are available when you create a new story are optimized and classic. Optimized design option allows users to create stories using an intuitive and simplified interface, with fewer options and more automation. Classic design option allows users to create stories using a full-featured and flexible interface, with more options and more control. CSS and style are not design options when you create a new story; they are concepts related to web development and formatting. Verified References: [SAP Analytics Cloud - Story Design Options]

The story option that can help you create a story as a launchpad to other stories is hyperlink. A hyperlink is a link that allows users to navigate from one location to another by clicking on it. You can use hyperlinks to link widgets, text, or images in a story to other stories in SAP Analytics Cloud, creating a launchpad effect. Input control, linked analysis, and RSS feed are not story options that can help you create a story as a launchpad to other stories; they are options that can help you filter data, link widgets, or display news feeds in a story. Verified References: [SAP Analytics Cloud - Hyperlinks]

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 forthis 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.

References:

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]

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 anddifferences, 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.

References:

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]

The sort options that are available in stories are ascending and descending order, and multiple dimensions together. Ascending and descending order allow you to sort data by one or more dimensions or measures in ascending or descending order. Multiple dimensions together allow you to sort data by more than one dimension in a hierarchical order. Dimensions and measures together, and multiple measures together are not valid sort options in stories. Verified References: [SAP Analytics Cloud - Sorting]

• 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 References: [SAP Analytics Cloud - Geo Maps]