C_SACS_2321 Questions and Answers

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

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 References:

• : Filter Data in Stories

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 data source connection that can be used in SAP Analytics Cloud to wrangle data is imported. Imported data sources are data files that are uploaded to SAP Analytics Cloud and stored in its internal database. Users can wrangle imported data sources using the Data Preparation feature, which allows them to transform, enrich, cleanse, and merge data. Live and public data sources cannot be used to wrangle data in SAP Analytics Cloud; live data sources remain in their original systems and public data sources are read-only datasets provided by SAP. Verified References: [SAP Analytics Cloud - Data Preparation]

A section is a way to group and organize widgets in a story based on a dimension. To create a section, you need to have the following:

• A dimension that you want to use as the basis for grouping the widgets. You can choose any dimension from any model in the story.
• One or more widgets that you want to display in each section. You can add any type of widget, such as charts, tables, geo maps, etc.

You can create sections in both the Classic Design Experience and the Optimized Design Experience, but the process is slightly different. Therefore, the correct answer is dimension and widget, as they are required to configure a section in a story

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 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]

SAP Datasphere is a data source that does not require a model to be created in SAP Analytics Cloud. You can use a SAP Datasphere connection to access or import data directly into your story, with no need for a SAP Analytics Cloud model to be created1

SAP Business Warehouse, SAP S/4HANA, and SAP BusinessObjects Web Intelligence document are data sources that require a model to be created in SAP Analytics Cloud. You cannot access or import data from these sources directly into your story, but you need to create a model in SAP Analytics Cloud using the connections to these sources234

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]

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

The presentation types for the Digital Boardroom are dashboard and agenda. Dashboard allows users to create a custom layout of widgets and pages on a large screen, such as a wall-mounted monitor or a projector. Agenda allows users to create a structured sequence of pages and topics that can be navigated using a touch screen, such as a tablet or a laptop. Custom and canvas are not presentation types for the Digital Boardroom; they are options that can be used to design dashboard layouts or story pages. Verified References: [SAP Analytics Cloud - Digital Boardroom]

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

You can add a section to a canvas page in a story. A section is a container that holds one or more widgets and can be used to group related content or apply filters. A digital boardroom, a table, and a chart are not valid targets for adding a section; they are either different types of presentations or widgets that can be added to a section. Verified References: [SAP Analytics Cloud - Sections]