Lesson 4.11.1.1

4.11.1.1 Big Data Quiz: AQA Computer Science, Unit 11

20 questions

Written by Revision Ninja · Last reviewed 11 October 2026

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Lesson 4.11.1.1, Big Data: 20 multiple choice questions for the AQA Computer Science (7517), Unit 11: Big Data, written with Revision Ninja.

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The 20 questions

  1. Which of these is one of the three characteristics of Big Data described in the specification?

    • Virtualisation
    • Velocity
    • Vendor
    • Validation

  2. In the characteristic V's of Big Data, what does the term volume describe?

    • Amount of data
    • Variety of data
    • Accuracy of data
    • Speed of data

  3. In the characteristic V's of Big Data, what does the term velocity describe?

    • Variety of data
    • Speed of data
    • Accuracy of data
    • Amount of data

  4. Which 'V' of Big Data refers to data arriving in multiple different formats?

    • Veracity
    • Variety
    • Volume
    • Velocity

  5. Which limitation makes relational databases unsuitable for processing Big Data?

    • Single-user access
    • Poor horizontal scaling
    • High redundancy
    • Lack of indexing

  6. Which technique is used to find complex patterns in large unstructured data sets?

    • Machine learning
    • Bubble sorting
    • Data normalisation
    • Linear searching

  7. How is processing handled when Big Data exceeds the capacity of a single server?

    • Parallel pipelining
    • Centralised queuing
    • Sequential processing
    • Distributed computing

  8. Which feature of functional programming prevents side effects by forbidding data modification?

    • Global variables
    • Immutable data
    • Object inheritance
    • Dynamic typing

  9. Which functional programming feature allows functions to execute independently on distributed servers?

    • Polymorphism
    • Statelessness
    • Encapsulation
    • Inheritance

  10. In a fact-based data model, what does each individual fact represent?

    • Complete data record
    • Fully joined table
    • Single atomic fact
    • Complex relational view

  11. In a graph database schema, what do the nodes represent?

    • Foreign keys
    • Relationships
    • Entities
    • Attributes

  12. In a graph database schema, what does an edge represent?

    • A primary key
    • An entity
    • A data value
    • A relationship

  13. In a graph database schema, what is stored as a property?

    • A node connection
    • An attribute value
    • An entity link
    • A table query

  14. In a graph database, where is the date stored if Alice follows Bob since 2020?

    • Foreign key
    • Node label
    • Primary key
    • Edge property

  15. Which Big Data characteristic describes real-time sensor data streamed continuously at high speed?

    • Veracity
    • Velocity
    • Volume
    • Variety

  16. Which Big Data characteristic is shown by combining video clips, text logs, and tables?

    • Volume
    • Variety
    • Velocity
    • Veracity

  17. Which programming paradigm is best suited for writing reliable code across distributed Big Data clusters?

    • Functional programming
    • Procedural programming
    • Object-oriented programming
    • Imperative programming

  18. Why do immutable data structures help prevent data inconsistency during distributed processing?

    • Memory usage drops
    • Processing speeds increase
    • Data is compressed
    • Values cannot change

  19. Which feature of unstructured data makes it difficult to store in a standard relational database?

    • Fast generation rate
    • No fixed schema
    • High encryption level
    • Large binary size

  20. What property of a stateless function allows it to be executed safely on any server in a cluster?

    • Data compression
    • No side effects
    • Global state locking
    • Automatic logging

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