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      Question

      In a snowflake schema of a data warehouse, which of the

      following consequences is most likely as a result of normalization of dimension tables?
      A Increased query performance due to flat dimension structure Correct Answer Incorrect Answer
      B Decreased storage space usage and reduced data redundancy Correct Answer Incorrect Answer
      C Elimination of need for joins between fact and dimension tables Correct Answer Incorrect Answer
      D Ability to use only one dimension table per fact table Correct Answer Incorrect Answer
      E Dimension tables become denormalized for faster data access Correct Answer Incorrect Answer

      Solution

      A snowflake schema is a variation of a star schema in which the dimension tables are normalized (broken down into related tables). This: β€’ Reduces redundancy (e.g., separating country, state, and city into different tables). β€’ Leads to better storage efficiency. β€’ However, it requires more joins in queries, which can reduce query performance compared to a star schema. β€’ Option A is incorrect because normalization typically increases the number of joins, decreasing performance. β€’ Option C is false; more joins are needed in snowflake schemas. β€’ Option D is incorrect; multiple dimension tables can be used. β€’ Option E is the opposite of what a snowflake schema does (it normalizes, not denormalizes, dimension tables).

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