Which option describes a method to minimize sparsity effects, according to common Cube View practices?

Which option describes a method to minimize sparsity effects, according to common Cube View practices?

• A. Utilize suppression settings
• B. Delete sparse data intersections
• C. Recycle the database servers
• D. Archive old data

Answer: (A)

Sparsity in a cube view comes from many intersections that have no data, which can slow performance and clutter results. Suppression settings hide cells that are zero or empty, so the view displays only the intersections that actually contain data. By not rendering those empty intersections, the system has fewer points to process and render, improving performance and readability. This is why using suppression settings is the typical method to minimize sparsity effects in Cube View practices. Deleting sparse data intersections isn’t a standard or safe way to manage views, and recycling database servers doesn’t change how the cube presents data. Archiving old data reduces overall volume but doesn’t address the presence of empty cells in the current view.

Sparsity in a cube view comes from many intersections that have no data, which can slow performance and clutter results. Suppression settings hide cells that are zero or empty, so the view displays only the intersections that actually contain data. By not rendering those empty intersections, the system has fewer points to process and render, improving performance and readability. This is why using suppression settings is the typical method to minimize sparsity effects in Cube View practices.

Deleting sparse data intersections isn’t a standard or safe way to manage views, and recycling database servers doesn’t change how the cube presents data. Archiving old data reduces overall volume but doesn’t address the presence of empty cells in the current view.