_______ integrity ensures that primary key values are unique and not null.

  • Data
  • Entity
  • Primary
  • Referential
Detailed Primary integrity ensures that primary key values are unique and not null. The primary key is a crucial component in a relational database as it uniquely identifies each record in a table, preventing duplication and ensuring data reliability.

What is the advantage of using compression techniques in data storage systems?

  • Faster data transmission
  • Improved data durability
  • Increased data redundancy
  • Reduced storage space requirements
Using compression techniques in data storage systems provides the advantage of reduced storage space requirements. This leads to more efficient use of storage resources, cost savings, and improved overall system performance. Additionally, it can contribute to faster data transmission, especially in scenarios involving data transfer over networks.

In a superclass-subclass relationship, a _______ is a specialized version of a more general entity.

  • Subclass
  • Subtype
  • Superclass
  • Superset
In a superclass-subclass relationship, a Subtype is a specialized version of a more general entity, known as the superclass. This modeling concept allows for creating a hierarchy within entities, emphasizing shared and distinct attributes.

_______ is a technique used to improve storage efficiency by dynamically allocating storage space based on data access patterns.

  • Data Clustering
  • Data Compression
  • Data Partitioning
  • Data Shuffling
Data Partitioning is a technique used to improve storage efficiency by dynamically allocating storage space based on data access patterns. It involves dividing large datasets into smaller, more manageable partitions. This helps in optimizing query performance and storage utilization.

_______ is a technique used to improve storage efficiency by dividing a large database table into smaller, more manageable parts.

  • Data Encoding
  • Data Indexing
  • Data Normalization
  • Data Partitioning
Data Partitioning is a technique where a large database table is divided into smaller, more manageable parts. This can improve storage efficiency, enhance query performance, and make data management more scalable. It's particularly useful for large datasets or in distributed database systems.

Database design tools help users visualize the database schema through _______.

  • Code and Scripts
  • Entity-Relationship Diagrams (ERD)
  • Graphs and Charts
  • Tables and Fields
Database design tools like MySQL Workbench or Microsoft Visio use Entity-Relationship Diagrams (ERD) to help users visualize the database schema. ERDs illustrate the relationships between entities and their attributes, aiding in the understanding and planning of the database structure.

In relational schema design, a _______ key uniquely identifies a record within a table.

  • Candidate
  • Composite
  • Foreign
  • Primary
In relational schema design, a primary key uniquely identifies a record within a table. It serves as a unique identifier for each row and ensures data integrity in the table.

_______ is the highest level of normalization that a relational database can achieve.

  • Boyce-Codd Normal Form (BCNF)
  • Fifth Normal Form (5NF)
  • Fourth Normal Form (4NF)
  • Third Normal Form (3NF)
Boyce-Codd Normal Form (BCNF) is the highest level of normalization that a relational database can achieve. It ensures that there are no non-trivial functional dependencies of attributes on the primary key.

An attribute is said to be _______ if it is dependent on the primary key, as well as on some other attribute(s) within the same table.

  • Composite
  • Derived
  • Multivalued
  • Transitive
An attribute is said to be Transitive if it is dependent on the primary key, as well as on some other attribute(s) within the same table. This situation is resolved by normalization to reduce redundancy.

A large e-commerce website experiences slow query performance due to a massive volume of customer data. What relational schema design technique could you employ to optimize storage and enhance query performance?

  • Denormalization
  • Indexing
  • Normalization
  • Sharding
In this scenario, to enhance query performance, denormalization can be employed. Denormalization involves introducing redundancy in the database design to reduce the number of joins, leading to faster query execution. It's especially useful when dealing with read-heavy workloads and large datasets.