Consider a table 'Projects' with columns (project_id, project_name, manager_name, manager_office). If many projects share the same manager_office, what problem arises from this design?

medium📝 query result Q4 of 15

SQL - Database Design and Normalization

AFaster query performance due to fewer joins

BData redundancy leading to update anomalies

CIncreased security risks from duplicated data

DLoss of project details due to normalization

Step-by-Step Solution

Solution:

Step 1: Identify repeated data
manager_office repeats for many projects.
Step 2: Understand consequences
Repeated data causes redundancy and update anomalies.
Final Answer:
Data redundancy leading to update anomalies -> Option B
Quick Check:
Repeated info causes update issues [OK]

Quick Trick: Repeated fields cause update problems [OK]

Common Mistakes:

Assuming redundancy improves performance
Confusing security risks with normalization issues
Believing normalization causes data loss

Master "Database Design and Normalization" in SQL

9 interactive learning modes - each teaches the same concept differently

Learn Why Deep Visual Try Challenge Project Recall Time

Want More Practice?

15+ quiz questions · All difficulty levels · Free

Free Signup - Practice All Questions

More SQL Quizzes

Consider a table 'Projects' with columns (project_id, project_name, manager_name, manager_office). If many projects share the same manager_office, what problem arises from this design?

Step 1: Identify repeated data

Step 2: Understand consequences

Final Answer:

Quick Check:

Want More Practice?