Once a database is designed “correctly” the first time, it will never need redesign or refactoring in the future. Is this claim valid given evolving business requirements and workloads?

Introduction / Context:Database schemas are living artifacts. Even a well-designed schema must adapt to new features, regulations, volumes, and performance constraints. This question challenges the idea that an initially perfect design eliminates future redesign.

Given Data / Assumptions:

• Business rules evolve (pricing, tax, products, workflows).
• Nonfunctional needs change (scale, latency, availability).
• Technology shifts (new engines, indexing, partitioning).

Concept / Approach:Good design anticipates change via normalization, abstraction, and modularity, but cannot foresee everything. Redesign may introduce new entities, refactor relationships, partition large tables, or denormalize selectively for analytics.

Step-by-Step Solution:Monitor pain points (slow queries, anomalies).Collect requirements and profile data usage.Propose minimal, consistent schema changes.Test migrations with representative loads.Deploy iteratively with rollback strategies.

Verification / Alternative check:Historical change logs in mature systems show periodic schema evolution driven by real-world needs.

Why Other Options Are Wrong:Using BCNF or being read-only does not freeze requirements; archival systems may still need new compliance attributes or access patterns.

Common Pitfalls:Deferring necessary refactors; making piecemeal changes that create inconsistencies.

Final Answer:Incorrect