What happens if sparse row suppression is used with dynamic calculations?

When sparse row suppression is used in conjunction with dynamic calculations, the expected behavior is that dynamic calculations are suppressed. Sparse row suppression aims to improve performance by not displaying or storing data for rows that do not contain relevant information, thus reducing the amount of data processed and displayed. In scenarios where dynamic calculations calculate values based on conditions that could potentially yield no results for certain sparse scenarios, these calculations may also be suppressed.

In the context of database management and reporting, if a row's data doesn't meet the criteria for displaying values, even dynamic calculations relying on that data won't be executed or shown. This means that the dynamic calculations will not contribute to the final output if they are in a suppressed sparse row, ensuring that the user only sees relevant results. This, in turn, helps maintain a cleaner, more efficient dataset for decision-making purposes.