SAP Updated C_SAC_2402 Exam Questions and Answers by aarya

Table formulas in SAP Analytics Cloud are used to perform cell-based calculations within a story. These formulas can be applied directly to table cells, allowing for customizedcalculations that are specific to the data presented in the table. This feature is particularly useful for ad-hoc analysis and when specific calculations are needed that are not covered by predefined measures or dimensions.

References:

• SAP Analytics Cloud Help Documentation: Using Table Formulas
• SAP Analytics Cloud User Guide: Cell-Based Calculations in Stories

When creating a data action to copy data from one year to the next, it's crucial to adjust the Granularity setting in the parameter for the source year. Granularity refers to the level of detail at which the data action will operate. For time-based data copying, ensuring the granularity aligns with the desired year level is essential for accurately copying the data. If granularity is set at a finer level (like months or days), it may not correctly copy annual data. Therefore, adjusting the granularity to the year level is necessary for the data action to function as intended.

References:

• SAP Analytics Cloud Help Documentation: Data Actions
• SAP Analytics Cloud User Guide: Configuring Data Actions for Time-Based Copy

To reduce data refresh time when opening a story, it's beneficial to avoid tables with excessive rows and columns, load widgets in the background, and minimize the use of prompts. Large tables can significantly impact performance, background widget loading optimizes resource use, and fewer prompts mean less user interaction is required before the story is fully loaded, all contributing to faster story opening times.

References:

• SAP Analytics Cloud Help Documentation: Optimizing Story Performance
• SAP Analytics Cloud User Guide: Best Practices for Story Design and Performance