Q. Why is it important to carefully choose summary and detail levels in a data warehouse?

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Q. What is a consideration when applying parallel processing techniques in conjunction with data partitioning?

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Q. How does parallel processing contribute to performance improvement in a data warehouse?

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Q. What is a potential advantage of taking an entire partition off-line for maintenance?

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Q. How does data clustering improve query performance in a data warehouse?

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Q. What is a benefit of horizontal partitioning in a data warehouse?

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Q. In vertical partitioning of a table, how are partitions separated?

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Q. What is the primary benefit of partitioning a table in a data warehouse?

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Q. Why is planning for partitioning crucial in a data warehouse?

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Q. What is a key advantage of data partitioning in a data warehouse?

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Q. Which technique enables more data to be loaded into a single block, improving data retrieval performance?

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Q. When considering multicolumn indexes for dimension tables, what should be considered for arranging columns?

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Q. What is a recommended indexing strategy for dimension tables in a data warehouse?

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Q. In a data warehouse environment, when are bitmapped indexes more suitable than B-Tree indexes?

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Q. What is a disadvantage of bitmapped indexes?

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Q. In a bitmapped index, how is the result set determined for a query with multiple predicates?

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Q. How is a bitmap index constructed for a column with distinct values?

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Q. What is a bitmap index?

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Q. What can be done to improve the selectivity of a non-highly selective column for B-Tree indexing?

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Q. In a B-Tree index, what type of column is most suitable?

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