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.

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 dat

a. 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 isImport planning modelandBlended 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.

1:Using Data Point Comments - SAP Learning2:Creating an Import Planning Model - SAP Learning3:Creating a BPC Live Model - SAP Learning4:Creating an SAP S/4HANA Live Model - SAP Learning: [Blending Data from Multiple Models - SAP Learning]

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 isAggregation, as it is the calculation type that the SAP BW live model supports. Verified Reference:

: Create Calculations in Models

: SAP BW Live Data Connection

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 dashboard standards 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 Training2

The Optimized Design Experience is a new design option for creating stories in SAP Analytics Cloud. It offers several usability improvements and performance enhancements compared to the Classic Design Experience.However, it also has some limitations and differences, such as the unavailability of some elements that are present in the Classic Design Experience1.

The following filter options are supported in the Optimized Design Experience:

Input Control: This option allows you to add interactive filters to a story page that allow the story viewers to filter data, compare figures, and explore relationships directly from the page.You can use the Input Controls tool in the Tools section to select dimensions or measures that you want to use as input controls2.

Cascading: This option allows you to create a hierarchy of input controls that depend on each other. You can use this option to filter data based on multiple levels of a dimension, such as Country, Region, and City.You can also use this option to filter data based on different dimensions that are related, such as Product Category and Product Name3.

Section: This option is not a filter option, but 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 dimension.Sections are available in both the Optimized and Classic Design Experiences4.

The other options are not supported in the Optimized Design Experience, because:

Advanced: This option allows you to create complex filters using logical operators, such as AND, OR, and NOT. You can use this option to filter data based on multiple conditions or expressions, such as Revenue > 1000 AND Profit Margin < 10%. Advanced filters are available only in the Classic Design Experience.

Controls: This option is not a valid filter option in SAP Analytics Cloud. It may refer to input controls, which are supported, or chart controls, which are not supported. Chart controls are buttons that allow you to change the chart type, switch between absolute and relative values, or drill up and down in a hierarchy. Chart controls are available only in the Classic Design Experience.

1:Choosing Between Optimized and Classic Design Modes - SAP Learning2:Using Input Controls - SAP Learning3:Creating Cascading Input Controls - SAP Learning4:Creating Sections - SAP Learning: [Advanced Filters - SAP Learning] : [Chart Controls - SAP Learning]