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ChatGPT Quiz: Basics of Distributed Systems in IT #1

Quiz by OXFORD SCHOOL

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10 questions
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  • Q1
    What is a distributed system?
    A system where all components are located on the same computer.
    A system where components located on networked computers communicate by physically swapping hardware components.
    A system where components located on networked computers communicate and coordinate their actions only by passing messages.
    A system where components located on networked computers communicate through a graphical user interface.
    30s
  • Q2
    What is a node in a distributed system?
    A person who manages the distributed system.
    A type of message passed between components in a distributed system.
    A type of network cable used in a distributed system.
    A single computer or device that is part of the distributed system.
    30s
  • Q3
    What is horizontal scaling?
    Increasing the amount of memory on a single node in a distributed system.
    Adding more hard disk storage to a single node in a distributed system.
    Adding more nodes to a distributed system to handle increased load or demand.
    Dividing a single node in a distributed system into multiple virtual machines.
    30s
  • Q4
    What is a message broker?
    A person who manages the distributed system and its components.
    A type of network security protocol used in distributed systems.
    A component in a distributed system that mediates communication between nodes by passing messages.
    A type of programming language used to write distributed systems.
    30s
  • Q5
    What is eventual consistency?
    A consistency model in which all updates to a data store will eventually be propagated.
    A consistency model in which all data is consistent at all times.
    A consistency model in which some updates to a data store may be lost.
    A consistency model in which some data in a data store may be corrupted or invalid.
    30s
  • Q6
    What is a distributed hash table?
    A type of messaging system used in distributed systems to pass complex data types.
    A distributed data structure that allows for efficient access and storage of key-value pairs across nodes in a network.
    A type of hardware used in distributed systems to store data.
    A type of encryption used in distributed systems to protect data in transit.
    30s
  • Q7
    What is a deadlock in a distributed system?
    A situation in which two or more nodes are blocked and unable to proceed because each is trying to acquire a resource held by the other.
    A situation in which a message sent between nodes is lost or corrupted.
    A situation in which a single node is blocked and unable to proceed due to a system error.
    A situation in which all nodes in the distributed system stop responding.
    30s
  • Q8
    What is the CAP theorem in distributed systems?
    A concept that states that all nodes in a distributed system must be physically connected to each other.
    A concept that states that all data in a distributed system must be encrypted at rest and in transit.
    A concept that states that it is impossible for a distributed system to simultaneously guarantee consistency, availability, and partition tolerance.
    A concept that states that all nodes in a distributed system must be running the same operating system.
    30s
  • Q9
    What is a distributed file system?
    A system that allows files to be accessed remotely over the internet.
    A system that allows files to be stored on multiple nodes in a network and accessed by clients as if they were stored on a single machine.
    A system that automatically copies files from one location to another across a network.
    A system that allows files to be compressed and encrypted for secure storage.
    30s
  • Q10
    What is partition tolerance in a distributed system?
    The ability of a distributed system to handle increasing loads or demands by adding more nodes.
    The ability of a distributed system to store and retrieve data consistently across all nodes.
    The ability of a distributed system to continue functioning even if some nodes or network links fail or are partitioned from the rest of the network.
    The ability of a distributed system to guarantee that all nodes are running the same version of software.
    30s

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