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 Training2

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.

A dataset is a type of data source that allows you to import data from files, such as Excel or CSV files. You can use datasets to create stories or blend data with models. However, datasets have some limitations, such as:

They cannot be scheduled. You have to manually refresh the data in a dataset.

They do not support column-based or property security. You cannot restrict access to certain columns or properties in a dataset.

They do not support transformations. You cannot apply any transformations to the data in a dataset.

They can overwrite imported data. You can choose to append or replace the data in a dataset when you import a new file.

Therefore, the correct answer isThey cannot be scheduledandThey do not support column-based or property security, as they are the limitations of datasets.

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 isMultiple widgets, as it is the necessary element for Linked Analysis. Verified Reference:

: Link Widgets with Linked Analysis

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 Reference: [SAP Analytics Cloud - Unbooked Data]