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FC0-U71 Practice Question: A database table contains redundant employee…
A database table contains redundant employee data, leading to update anomalies. Which database design process should be applied to resolve this?
⚠ Common exam trap
Watch out — candidates often confuse normalization with indexing or query optimization because all three improve database performance, but only normalization addresses structural redundancy and update anomalies at the schema level.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Normalization
Normalization is the database design process that eliminates redundant data and ensures data dependencies make sense, thereby resolving update anomalies. By decomposing a table into smaller, related tables and defining relationships through foreign keys, normalization reduces data duplication and maintains consistency during insert, update, and delete operations.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Normalization
Why this is correct
Normalization eliminates redundant data and reduces update anomalies.
- ✗
Indexing
Why it's wrong here
Indexing speeds retrieval; it does not remove redundant columns or partial dependencies, so update anomalies persist. Normalisation restructures tables to eliminate redundancy. Indexing would be correct where query performance, not data integrity, is the problem being addressed.
- ✗
Denormalization
Why it's wrong here
Denormalization deliberately reintroduces redundancy to speed reads, so it would worsen the update anomalies rather than remove them. It is tempting because it is a genuine performance technique, and it would be the right choice when a reporting workload needs fewer joins and slower writes are acceptable.
- ✗
Query optimization
Why it's wrong here
Query optimization tunes execution plans and indexing for existing SQL; it cannot remove the duplicated employee data causing the anomalies. It is tempting because it addresses database performance problems, and it would be correct when a correctly normalized schema returns results too slowly.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This FC0-U71 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the FC0-U71 exam.