Denormalization in Databases Quiz

What is the purpose of normalization process in databases?

• To complicate data storage and retrieval, causing data redundancy and dependency, and reducing database efficiency.

• To minimize data redundancy and dependency, ensuring data integrity and improving database efficiency.

• To minimize data redundancy and dependency, but compromising data integrity and reducing database efficiency.

• To maximize data redundancy and dependency, ensuring data integrity and improving database efficiency.

What are the advantages of denormalization in databases?

• More complex data management

• Improved query performance

• Increased data integrity

• Decreased query performance

What are the disadvantages of denormalization in databases?

• Decreased storage space, improved data integrity

• Improved data consistency, reduced storage space

• Data redundancy and inconsistencies, increased storage space

• Reduced data redundancy, decreased storage space

What are the different types of denormalization techniques used in databases?

• Primary keys, foreign keys, and unique constraints

• Data warehousing, data mining, and data modeling

• Normalization, indexing, and partitioning

• Materialized views, redundant columns, and summary tables

Explain the concept of partitioning relations in denormalization.

• Splitting a large table into smaller, more manageable tables based on certain criteria.

• Removing all criteria for splitting tables

• Combining multiple tables into one large table

• Creating duplicate tables with the same data

What is the main goal of normalization in databases?

• Introduce more redundancy and dependency

• Minimize redundancy and dependency

• Ignore redundancy and dependency

• Maximize redundancy and dependency

How does denormalization improve query performance in databases?

• By slowing down the retrieval of data

• By reducing the amount of data stored in the database

• By reducing the number of joins required to retrieve data

• By increasing the number of joins required to retrieve data

Discuss the impact of denormalization on data redundancy.

• Denormalization only increases data redundancy in theory

• Denormalization can lead to increased data redundancy.

• Denormalization has no impact on data redundancy

• Denormalization reduces data redundancy

Name two common denormalization techniques used in databases.

• Materialized views, precomputed aggregates

• Primary keys, foreign keys

• Normalization, indexing

• Data encryption, data compression

What are the potential drawbacks of denormalization in databases?

• Improved data retrieval speed

• Increased data security

• Data redundancy and inconsistencies

• Simplified data maintenance