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 [SAP Analytics Cloud – Performance Optimization]

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 [SAP Analytics Cloud – Datapoint Comments]

The model setting Optimize Story Building Performance prevents the automatic refresh of data during story design. This means that users can design stories without waiting for the data to load every time they make a change. Users can manually refresh the data when they want to see the updated results. The model setting does not affect the design experience, the parallel processing, or the story editing. Verified [SAP Analytics Cloud – Optimize Story Building Performance]

To apply the formatting of the year 2024 to the years 2025 and 2026, you need to use the level option Self and Descendants in the styling rules. This option applies the formatting to the selected member and all its lower-level members in the hierarchy1. In this case, the selected member is the year 2024, and its lower-level members are the months, quarters, and half years that belong to 2024. The formatting will also be applied to the years 2025 and 2026, and their lower-level members, because they are at the same level as 2024 in the hierarchy.
The other level options are:
Self: This option applies the formatting only to the selected member, not to any other members in the hierarchy1. In this case, the selected member is the year 2024, and the formatting will not be applied to any other years or lower-level members.
Self and Siblings: This option applies the formatting to the selected member and all its siblings, which are members at the same level in the hierarchy1. In this case, the selected member is the year 2024, and its siblings are the years 2025 and 2026. The formatting will be applied to these three years, but not to their lower-level members.
Self and Children: This option applies the formatting to the selected member and its immediate children, which are members one level below in the hierarchy1. In this case, the selected member is the year 2024, and its immediate children are the quarters and half years that belong to 2024. The formatting will be applied to these members, but not to any other years or months.
1: Styling Rules for Tables

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 [SAP Analytics Cloud – Data Preparation]

You can define a calculation for a table in three ways:
Table: You can add a simple calculation by selecting two measures in a table, right-clicking, choosing Add calculation, and choosing the calculation you want. You can also add a repeating or single column or row to a table by right-clicking on a measure or dimension and choosing Add Calculation1.
Calculation editor: You can open the calculation editor from the drop-down menu of Measures or Dimensions in the Designer Panel and create complex calculations for a chart or table. For each type of calculation, a new calculated member is created. You can also use dimension attributes as part of a calculation2.
Story: You can create a calculated measure in the Builder pane of a story. When setting up your calculation, you apply the typical formula functions, conditions, and operators to the data contained in your model. Calculated measures allow you to perform mathematical and Boolean operations on your data1.
1: Calculating Data in Stories – SAP Learning 2: SAP Analytics Cloud In-story Calculation Series – An Introduction

Linked Analysis is a feature that allows you to link multiple widgets in a story based on the same model. You can use Linked Analysis to do the following:
Filter data in multiple widgets by selecting a data point in one widget. For example, if you select Soft Drinks in a chart, all the other linked widgets will show data for Soft Drinks only.
Drill down or up in multiple widgets by changing the level of detail in one widget. For example, if you drill down from Product Category to Product Name in a table, all the other linked widgets will show data for Product Name as well.
Highlight data in multiple widgets by hovering over a data point in one widget. For example, if you hover over Germany in a geo map, all the other linked widgets will highlight the data for Germany.
To use Linked Analysis, you need to have the following:
Multiple widgets based on the same model. You can link any type of widget, such as charts, tables, geo maps, etc., as long as they are based on the same model.
A common dimension or measure between the widgets. You can link widgets based on any dimension or measure that they share in common.
You do not need to have the following for Linked Analysis:
Multiple stories. You can use Linked Analysis within the same story. You cannot link widgets across different stories.
Multiple data models. You can use Linked Analysis with one model only. You cannot link widgets based on different models.
Multiple pages. You can use Linked Analysis within the same page. You cannot link widgets across different pages.
Therefore, the correct answer is Multiple widgets, as it is the necessary element for Linked Analysis. Verified Reference:
: Link Widgets with Linked Analysis

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 [SAP Analytics Cloud – Geo Maps]

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 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 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 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 to measure and aggregation are not calculation types; they are functions that can be used in calculations. Verified [SAP Analytics Cloud – Input Controls]

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

These are two of the options that you can use for data wrangling when you import a file for a story in SAP Analytics Cloud, according to the SAP Help Portal1. Data wrangling is the process of cleaning, structuring, and enriching raw data into a desired format for better decision making in less time2.
The custom expression editor is a tool that allows you to create or edit formulas and expressions for your data columns3. You can access the custom expression editor by clicking on the formula icon in the builder panel or by double-clicking on a column header in the data view3. The custom expression editor provides a list of functions and operators that you can use to manipulate your data, such as arithmetic, logical, string, date, and aggregation functions3. You can also use the custom expression editor to create calculated columns or measure-based dimensions from your existing columns3.
The transform bar is a tool that allows you to apply various transformations to your data columns, such as renaming, reordering, grouping, splitting, merging, or deleting columns4. You can access the transform bar by clicking on the transform icon in the builder panel or by right- clicking on a column header in the data view4. The transform bar provides a list of actions that you can use to modify your data structure, such as move left, move right, group by, split by delimiter, merge columns, or delete column4. You can also use the transform bar to change the data type or format of your columns, such as text, number, date, currency, or percentage4.

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

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:
Widget: This option allows you to apply filters to a specific widget, such as a chart, table, or map, that are based on the same model. You can use the Filter area in the Builder pane to pre- filter the data that the widget displays2.
Story: This option allows you to apply filters to all widgets in a story that are based on the same model. You can use the Story Filters tool in the Tools section to select dimensions or measures that you want to filter by2.
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 controls3.
The following filter options are not supported in the Optimized 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 Experience4.
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 Experiences.
1: Choosing Between Optimized and Classic Design Modes – SAP Learning 2: Filtering Data in Optimized Design Mode – SAP Learning 3: Using Input Controls – SAP Learning 4: Chart Controls – SAP Learning : [Creating Sections – SAP Learning]

The sort options that are available in stories are ascending and descending order, and multiple dimensions together. Ascending and descending order allow you to sort data by one or more dimensions or measures in ascending or descending order. Multiple dimensions together allow you to sort data by more than one dimension in a hierarchical order. Dimensions and measures together, and multiple measures together are not valid sort options in stories. Verified [SAP Analytics Cloud – Sorting]

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