Difficulty: Easy
Correct Answer: Incorrect
Explanation:
Introduction / Context:
Entity clustering is a presentation technique used in complex ERDs to reduce visual noise by grouping closely related entities into a higher-level box or cluster. The goal is to improve readability while preserving underlying semantics.
Given Data / Assumptions:
Concept / Approach:
By definition, clustering collapses several entities into a single composite icon or box on the diagram. This lowers the number of visible entity symbols, making the ERD easier to navigate. The entities still exist in the repository or model, but the diagram shows fewer shapes, not more. Therefore, a clustered ERD will display fewer entities than the unclustered version.
Step-by-Step Solution:
Verification / Alternative check:
Compare screenshots before and after clustering; the visual count of entity boxes is lower post-cluster, though the model content remains unchanged.
Why Other Options Are Wrong:
Common Pitfalls:
Assuming clustering alters normalization or keys—it does not. Also, hiding too much can obscure important relationships; provide detailed views when needed.
Final Answer:
Incorrect
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