SAP C_SACS_2321 Dumps Questions Answers

Chart scaling is a feature that ensures that you have a meaningful display of values across multiple charts in a story. By default, charts are not scaled, which can lead to incorrect data analysis, particularly if users are not paying attention to the actual values displayed in the chart1.

Chart scaling is applied to the following:

• Specific page: Chart scaling is applied to all of the charts on a page, but the scaling may be different for the same measure on different pages, because the scaling factor is calculated separately for each page1.
• Specific measure: Chart scaling is applied to a specific measure in a chart, and it affects all the charts that contain that measure on the same page. You can exclude charts from the scaling by selecting the chart and choosing Exclude from Scaling in the context menu1.

Chart scaling is not applied to the following:

• All measures: Chart scaling is not applied to all the measures in a story, only to the ones that are selected for scaling. You can select which measures to scale by choosing Scale Measures in the context menu of any chart on a page1.
• All pages: Chart scaling is not applied to all the pages in a story, only to the ones that have scaling enabled. You can enable or disable scaling for a page by choosing Enable Scaling or Disable Scaling in the context menu of any chart on a page1.

The story page types that are imported into the SAP Digital Boardroom builder are responsive and canvas. Responsive pages are designed to adapt to different screen sizes and orientations, making them suitable for different devices and scenarios in the digital boardroom. Canvas pages are designed for desktop browsers and fixed layouts, making them suitable for large screens and presentations in the digital boardroom. Grid pages are not imported into the digital boardroom builder; they are designed for tabular data analysis and printing. Verified References: [SAP Analytics Cloud - Digital Boardroom]

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.