SAP C_SACS_2321 SAP Certified Application Associate - SAP Analytics Cloud Story Design Exam Practice Test

The SAP Analytics Cloud mobile app allows users to view and interact with stories, collaborate with colleagues using comments and notifications, and share links to stories via email or other apps. Users cannot create stories, datasets, or models using the mobile app. Verified References: [SAP Analytics Cloud - Mobile App]

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.

References:

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

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 References: [SAP Analytics Cloud - Digital Boardroom]

According to the SAP Help Portal1, SVG (Scalable Vector Graphics) is the recommended image file type for optimal story performance in SAP Analytics CloudStory 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.

When you save a story as a template, you can use it as a starting point for creating new stories with the same layout and formatting. However, all the data from the original story is removed and replaced by placeholders for charts, tables, maps, input controls, and value driver trees. This way, you can easily add new data sources and models to the template without affecting the existing ones1. Custom formatting, such as story background, chart color palettes, fonts, and borders, is retained in the template2. Custom widgets, such as images, shapes, texts, and buttons, are also preserved in the template3. Standard widgets, such as charts, tables, maps, input controls, and value driver trees, are converted into empty placeholders that can be filled with new data3.

References:

1: Create and Use Story Templates 2: Story Templates in SAP Analytics Cloud 3: Building Stories from a Template

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

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

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.

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]

A data source is an object that contains data that you can use to create stories or other objects in SAP Analytics Cloud. There are four types of data sources in SAP Analytics Cloud:

• Model: A model is a structured representation of your data that defines how the data is organized and calculated. You can create models by importing data from various sources or connecting to live data systems.
• Dataset: A dataset is a type of data source that allows you to import data from files

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.

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 schema. 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.

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 References: [SAP Analytics Cloud - Datapoint Comments]

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 References:

• : Create Calculated Measures

The calculation types that support input controls are restricted measure, calculated measure, and difference from. A restricted measure is a measure that is filtered by one or more dimensions. A calculated measure is a measure that is derived from an expression using other measures and dimensions. A difference from is a measure that shows the difference between two values based on another dimension. Dimension tomeasure and aggregation are not calculation types; they are functions that can be used in calculations. Verified References: [SAP Analytics Cloud - Input Controls]

To improve performance in stories, users should use JPG images instead of PNG images, as JPG images have smaller file sizes and load faster. Users should also minimize the number of linked models in a story, as each linked model adds complexity and increases the loading time. Using unbooked data or exception aggregations does not affect performance in stories. Verified References: [SAP Analytics Cloud - Performance Optimization]

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 References: [SAP Analytics Cloud - Filter Data in Stories]

When you create a new story and select a responsive page, you are offered the choice of Optimized or Classic Design Experience. This choice determines the design mode that you will use to create your story. The Optimized Design Experience is the newer and more advanced design option that offers several usability improvements and performance enhancements compared to the Classic Design Experience. However, the Optimized Design Experience also has some limitations and differences, such as the unavailability of some elements that are present in the Classic Design Experience1. Therefore, you should choose the design mode that best suits your needs and preferences. You can also switch between the design modes later, but you may lose some features or formatting in the process2.

References:

1: Choosing Between Optimized and Classic Design Modes - SAP Learning 2: Switching Between Optimized and Classic Design Modes - SAP Learning