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]

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

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:

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]

When you are adding a calculation to a table, you can choose from two options: Single or Multiple. The option determines how many new columns are added to the table based on the calculation. The options are:

• Single: Adds one new column to the table with the calculation result for the selected dimension member. For example, if you select Soft Drinks and choose Single, you will get one new column with the calculation result for Soft Drinks only.
• Multiple: Adds multiple new columns to the table with the calculation result for each dimension member. For example, if you select Soft Drinks and choose Multiple, you will get three new columns with the calculation result for Soft Drinks, Juice, and Alcohol.

Therefore, the correct answer is Selected dimension member, as it is the option that the new column is added to when you choose Single. Verified References:

• : Create Calculations in Tables

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]

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]

The correct answers are C. Have a clear message and D. Use corporate branding standards. These are some of the guidelines that SAP recommends you follow when you create a story. According to the course material1, “Your current reporting and dashboardstandards will suffice for SAP Analytics Cloud stories. And if you do not have reporting or dashboard standards, this is the perfect time to create them.” The course material also suggests that you should “have a clear message and purpose for your story” and "use corporate branding standards to ensure consistency and professionalism"1.

The other options are not mentioned as guidelines in the course material. Option A. Use grouping is a feature that allows you to group data points in a chart or table, but it is not a general design principle. Option B. Avoid pie charts is a common advice for data visualization, but it is not specific to SAP Analytics Cloud stories.

1: Introducing SAP Analytics Cloud Story Design | SAP Training 2

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 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]