Relational Database Fundamentals
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Questions and Answers

Which of the following statements is NOT a requirement for a primary key in a relational database?

  • It must not be null.
  • It can be a combination of attributes.
  • It must be an attribute that can be changed in value. (correct)
  • It must be unique for each entity instance.
  • What type of relationship exists between a hospital and its patients?

  • Binary 1:1
  • Binary M:N
  • Unary
  • Binary 1:M (correct)
  • What is the primary function of a link entity in a relational database?

  • To ensure data integrity by enforcing referential constraints.
  • To resolve many-to-many relationships between two entities. (correct)
  • To represent a one-to-one relationship between two entities.
  • To store information about the primary keys of two related entities.
  • Which of the following statements is TRUE about the optionality of relationships in a relational database?

    <p>Mandatory relationships require that one entity must be linked to another, while optional relationships allow for a lack of connection.</p> Signup and view all the answers

    Which type of recursive relationship is exemplified by the relationship between an employee and their manager?

    <p>1:M recursive</p> Signup and view all the answers

    Which of the following is NOT a valid type of attribute in a relational database?

    <p>Independent</p> Signup and view all the answers

    What is a composite key?

    <p>A combination of attributes that uniquely identifies each entity instance.</p> Signup and view all the answers

    What is the main advantage of using a relational database over other data storage methods?

    <p>It provides a structured and organized way to manage data relationships.</p> Signup and view all the answers

    Which of the following is NOT a valid type of entity in a relational database?

    <p>Process</p> Signup and view all the answers

    In a many-to-many relationship between suppliers and products, what would be the most appropriate name for the link entity?

    <p>Supplier/Product Link</p> Signup and view all the answers

    Study Notes

    Relational Database Fundamentals

    • Data organized in tables where columns are attributes and rows are data items.
    • Each table corresponds to an entity with numerous instances and attributes.
    • Attributes define the type of stored data for each entity instance.
    • Every table must feature a primary key that uniquely identifies each instance.
    • Entities can be connected through matching key values within the database.
    • SQL is utilized for data transformations, including joining tables.

    Entities

    • Each table holds information on a single entity, with multiple instances and attributes.
    • Types of entities include:
      • Physical: e.g., customer, ingredient
      • Events: e.g., purchase, return, appointment
      • Relationships: e.g., supervision, movie/director

    Attributes

    • Attributes categorize information about entities and can vary in nature:
      • Permanent, time-varying, required, or optional
      • Single-valued (one value) or multivalued (multiple values)
      • Stored (direct details) or derived (calculated details)

    Primary Keys

    • Defined as an attribute or combination of attributes that uniquely identifies instances of an entity.
    • Types of keys:
      • Simple key: A single detail making each item unique.
      • Composite key: A combination of details for uniqueness.
      • Candidate key: A potential primary key based on uniqueness.
    • Primary key requirements include:
      • No change in value post-creation.
      • Cannot be null.
      • Should not depend on changing attributes like location or personnel.
      • Distinction between artificial keys and composite keys based on existing attributes.

    Entity Relationships

    • Distinction between relationship types:
      • Unary: Instances of the same entity relate (e.g., employees to supervisors).
      • Binary: Instances of two different entities relate.
        • Types of cardinality:
          • 1-to-1: Each instance of A corresponds to exactly one instance of B.
          • 1-to-many: Each instance of A can link to multiple instances of B, but B links only back to one A.
          • Many-to-many: Each instance of A can connect to many instances of B and vice versa; requires transformation into two 1:M relationships.
    • Primary keys and foreign keys are used to connect related records across tables.

    Optionality of Relationships

    • Categorization of relationships based on necessity:
      • Mandatory: Links that must exist (e.g., students to classes).
      • Optional: Links that may or may not exist (e.g., student club membership).

    Resolving M:N Relationships

    • M:N relationships must be converted into 1:M relationships through a linking entity.
    • Types of M:N relationships:
      • Due to repeated attribute groups (e.g., sales order linked to stock items).
      • Genuine M:N relationships (e.g., suppliers and products).
    • Guidelines for creating link entities:
      • Create a new entity to resolve the M:N relationship.
      • Connect the link entity with two one-to-many relationships.
      • The mandatory ends of relationships must involve one instance from the original entities.
      • The optionality of the "many" end mirrors that of the original relationship.
      • Naming convention for link entities can follow the format A/B link.

    Unary (Recursive) Relationships

    • Relationships involving connections within the same entity type, where an entity relates to itself.
    • Types include:
      • 1:1 recursive: A single corresponding instance.
      • 1:M recursive: An entity may have multiple subordinate entities; each subordinate connects to just one parent (e.g., employees and managers).
      • M:N recursive: Entails multiple relationships within the same entity type.

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    Description

    Learn about the basics of relational databases, including data storage in tables, entities, attributes, and primary keys. Discover how to perform data transformations using SQL.

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