SAP C_SACS_2316 Exam With Confidence Using Practice Dumps

Story filters are a feature that allows you to filter the data in a story based on one or more dimensions or measures. You can use story filters to do the following:

• They can be applied to all widgets based on the same model. You can choose which widgets are affected by the story filter and which are not.
• They can be used to create dynamic titles or text based on the filter values. You can insert filter tokens into titles or text elements to show the current filter values.
• They can be used to create input controls that allow users to change the filter values interactively. You can add input controls such as drop-down lists, sliders, checkboxes, etc., to let users select their own filter values.

Story filters cannot do the following:

• They cannot be implemented without a model in a template. You need to have a model as a data source for your story before you can apply story filters.
• They cannot be used to change dimensions in a widget. You cannot use story filters to swap dimensions in a widget. You have to use the chart builder or the table builder to change dimensions in a widget.

Therefore, the correct answer is They can be applied to all widgets based on the same model, as it is what can be done with story filters. Verified References:

• : Filter Data in Stories

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 References: [SAP Analytics Cloud - Optimize Story Building Performance]

The link type determines how the data from the primary and secondary models are blended in a story. There are three link types: Primary, All, and Intersection1.

• Primary: Only the data from the primary model that matches the data from the secondary model is displayed. This is equivalent to an inner join in SQL.
• All: All the data from both models is displayed, regardless of whether they match or not. This is equivalent to a full outer join in SQL.
• Intersection: Only the data that exists in both models is displayed. This is equivalent to an intersection in set theory.

In this case, the link type that returns what data is Intersection, because it only shows the data that is common to both models, such as Customer A and Customer B. Customer C and Customer D are excluded because they do not exist in both models.