Free Practice Questions for SAP C_SACS_2321 Exam

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]

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 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

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

Unbooked is the term that refers to dimension members with no numeric data values associated with them. For example, if a dimension has members A, B, C, and D, and only A and B have numeric values in a measure column, then C and D are unbooked members. Booked, transformed, and exception aggregation are not terms that describe dimension members. Verified References: [SAP Analytics Cloud - Unbooked Data]

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]

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]

The story page types that are imported into the SAP Digital Boardroom builder are responsive and canvas. Responsive pages are designed to adapt to different screen sizes and orientations, making them suitable for different devices and scenarios in the digital boardroom. Canvas pages are designed for desktop browsers and fixed layouts, making them suitable for large screens and presentations in the digital boardroom. Grid pages are not imported into the digital boardroom builder; they are designed for tabular data analysis and printing. Verified References: [SAP Analytics Cloud - Digital Boardroom]

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 data. You can access Smart Discovery from the context menu of a chart or table widget4.