C_SACS_2308 Exam Dumps - SAP Certified Application Associate - SAP Analytics Cloud Story Design

When converting a story to Optimized Design Experience, you need to be aware that some elements that are available in the Classic Design Experience are not yet supported in the Optimized Design Experience. These elements include:

• Grid pages
• Linked analysis
• Geo maps
• Images
• Shapes
• Texts
• Buttons
• Input controls
• Value driver trees
• Explorer

If your story contains any of these elements, you will receive a warning message before converting the story, informing you that these elements will be permanently deleted from the story. You can choose to proceed with the conversion or cancel it. If you proceed, the unsupported elements will be removed from the story, and you will not be able to restore them1.

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. 

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.

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]

When break grouping is enabled, the sort is applied to the inner dimension of the chart or table, according to the SAP Analytics Cloud Help1. Break grouping is a feature that allows you to sort data points in a chart or table by breaking the grouping of the dimensions in the category axis2. For example, if you have a chart with two dimensions in the category axis, such as Country and Product, and you enable break grouping, you can sort the data points by Product instead of Country2. This can help you compare the performance of different products across countries. You can also choose to sort by measure values or custom order2.

The other options are not correct. Option A. The outer dimension is the dimension that is not affected by the break grouping feature. Option C. The vertical dimension and option D. The horizontal dimension are not relevant terms for break grouping, as it depends on how you arrange the dimensions in the category axis.

1: Apply Smart Grouping to Charts in Analytic Applications | SAP Help Portal 2: Sort Data Points in Charts and Tables | SAP Help Portal

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.

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.

According to the SAP Help Portal1, SVG (Scalable Vector Graphics) is the recommended image file type for optimal story performance in SAP Analytics Cloud Story Design. SVG is a vector-based format that can scale to any size without losing quality or clarity. SVG images also have a smaller file size than other image formats, such as JPEG, PNG, or BMP, which are raster-based formats that store pixel data. Raster images can lose quality or become blurry when scaled up or down, and they also have a larger file size than vector images. Therefore, using SVG images can improve the loading speed and responsiveness of your stories, as well as the visual appearance of your images2.

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 References:

• : Optimized Design Experience Overview

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 criteria. 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 References: [SAP Analytics Cloud - Table Formatting]

The valid targets for hyperlinks are external websites, SAP Analytics Cloud stories, and SAP Analytics Cloud story pages. External websites are web pages that are outside of SAP Analytics Cloud, such as https://www.sap.com. SAP Analytics Cloud stories are presentation-style documents that use charts, visualizations, text, images, and pictograms to describe data. SAP Analytics Cloud story pages are individual pages within a story that contain one or more widgets. SAP BusinessObjects Web Intelligence documents and SAP Analysis for Microsoft Office workbooks are not valid targets for hyperlinks; they are different types of documents that are not supported by SAP Analytics Cloud. Verified References: [SAP Analytics Cloud - Hyperlinks]

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]

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

The SAP BW live model is a type of live data connection that allows you to access data from SAP Business Warehouse (BW) systems without importing it into SAP Analytics Cloud. The SAP BW live model supports the following calculation types:

• Aggregation: You can use aggregation functions, such as SUM, COUNT, MIN, MAX, etc., to calculate the values of a measure based on a dimension or a filter.
• Currency conversion: You can use currency conversion to convert the values of a measure from one currency to another based on predefined exchange rates.
• Unit conversion: You can use unit conversion to convert the values of a measure from one unit of measurement to another based on predefined conversion factors.

The SAP BW live model does not support the following calculation types:

• Dimension to measure: You cannot convert a dimension to a measure in a SAP BW live model.
• Date difference: You cannot calculate the difference between two dates in a SAP BW live model.
• Story calculation: You cannot create story calculations in a SAP BW live model.

Therefore, the correct answer is Aggregation, as it is the calculation type that the SAP BW live model supports. Verified References:

• : Create Calculations in Models
• : SAP BW Live Data Connection

Using the SAP Analytics Cloud mobile app, the page type that is required for viewing stories is responsive. Responsive pages are designed to adapt to different screen sizes and orientations, making them suitable for mobile devices. Canvas and grid pages are not supported by the mobile app; they are designed for desktop browsers and fixed layouts. Verified References: [SAP Analytics Cloud - Mobile App]

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 References:

• : Create Custom Expressions with the Custom Expression Editor