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Which scenario best justifies applying denormalization in a database design?

easy📝 Conceptual Q1 of 15
SQL - Database Design and Normalization
Which scenario best justifies applying denormalization in a database design?
AWhen the database size must be kept as small as possible
BWhen minimizing data redundancy is the highest priority
CWhen strict enforcement of data integrity is required
DWhen query performance needs improvement by reducing complex joins
Step-by-Step Solution
Solution:
  1. Step 1: Understand denormalization purpose

    Denormalization is used to improve read performance by reducing the number of joins.
  2. Step 2: Analyze options

    When query performance needs improvement by reducing complex joins aligns with this purpose. Options B and C relate to normalization goals, and D is unrelated.
  3. Final Answer:

    When query performance needs improvement by reducing complex joins -> Option D
  4. Quick Check:

    Denormalization trades redundancy for speed [OK]
Quick Trick: Denormalize to speed up reads, not to reduce redundancy [OK]
Common Mistakes:
  • Confusing denormalization with normalization
  • Thinking denormalization reduces data size
  • Assuming denormalization enforces data integrity

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