Which method to minimize the effects of database sparsity?

Study for the OneStream Certified Associate Exam. Develop understanding with comprehensive questions and detailed explanations. Ace your exam with confidence!

Multiple Choice

Which method to minimize the effects of database sparsity?

Explanation:
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.

Subscribe

Get the latest from Passetra

You can unsubscribe at any time. Read our privacy policy