Which method to minimize the effects of database sparsity?

Which method to minimize the effects of database sparsity?

• A. Utilize suppression settings
• B. Delete sparse data intersections
• C. Utilize the Extensibility functionality
• D. Recycle the database servers on a regular basis

Answer: (A)

Minimizing the effects of database sparsity comes from not materializing empty intersections in the data cube. Suppression settings let you hide or exclude values that are zero or blank, so the system doesn’t store or calculate those empty intersections. By turning on suppression, you reduce the number of intersections that need to be processed, which cuts down on storage and improves performance when dealing with sparse data. Deleting sparse data intersections isn’t a standard safe approach and can jeopardize data integrity. Extensibility functionality is about custom extensions and integrations, not reducing sparsity. Recycle the database servers is a maintenance action that doesn’t address how data is stored or queried, so it won’t actually reduce sparsity.

Minimizing the effects of database sparsity comes from not materializing empty intersections in the data cube. Suppression settings let you hide or exclude values that are zero or blank, so the system doesn’t store or calculate those empty intersections. By turning on suppression, you reduce the number of intersections that need to be processed, which cuts down on storage and improves performance when dealing with sparse data.

Deleting sparse data intersections isn’t a standard safe approach and can jeopardize data integrity. Extensibility functionality is about custom extensions and integrations, not reducing sparsity. Recycle the database servers is a maintenance action that doesn’t address how data is stored or queried, so it won’t actually reduce sparsity.