03,04,05 Availability vs. Consistency; CAP Theorem; Consistency Patterns; Availability Patterns.
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Questions and Answers

What does the CAP theorem state about distributed computer systems?

  • They are designed to operate without any network failures.
  • They can sacrifice consistency for higher availability in all situations.
  • They can only support two out of the three guarantees at any time. (correct)
  • They can fully achieve consistency, availability, and partition tolerance.
  • In a CP system, what condition may result from waiting for a response from a partitioned node?

  • Data corruption due to synchronization issues.
  • Immediate availability of the most recent data.
  • A timeout error while waiting for a response. (correct)
  • Loss of all previous write operations.
  • What is a feature of an AP system?

  • It eliminates the impact of network failures on the system's performance.
  • It allows responses to be returned even when some nodes are unreachable. (correct)
  • It guarantees the most recent version of the data during all requests.
  • It prioritizes immediate consistency over system availability.
  • When should a distributed computer system favor partition tolerance?

    <p>When the system needs to operate despite network failures.</p> Signup and view all the answers

    What is a potential drawback of an AP system during a network partition?

    <p>The most recent data may not be included in responses.</p> Signup and view all the answers

    What is one characteristic of weak consistency?

    <p>Reads may not reflect recent writes immediately.</p> Signup and view all the answers

    In which scenario does eventual consistency operate effectively?

    <p>VoIP calls during intermittent connectivity.</p> Signup and view all the answers

    Which type of consistency guarantees that after a write, the most recent data is always read?

    <p>Strong consistency.</p> Signup and view all the answers

    Which of the following systems typically uses strong consistency?

    <p>Relational Database Management Systems (RDBMS).</p> Signup and view all the answers

    What mechanism does eventual consistency employ for data updates?

    <p>Asynchronous replication of writes.</p> Signup and view all the answers

    What happens during an active-passive fail-over if the heartbeat is interrupted?

    <p>The passive server takes over the active's IP address and resumes service.</p> Signup and view all the answers

    What is a key characteristic of active-active fail-over?

    <p>Both servers manage traffic and share the load.</p> Signup and view all the answers

    What is a potential disadvantage of implementing a fail-over system?

    <p>Higher costs due to additional hardware and complexity.</p> Signup and view all the answers

    How is availability typically quantified in IT systems?

    <p>As a percentage of uptime or downtime, often represented by 'nines'.</p> Signup and view all the answers

    In the context of database replication, what is the difference between master-slave and master-master configurations?

    <p>Master-slave allows only one master server to handle writes, while master-master allows both servers to handle writes.</p> Signup and view all the answers

    What is the acceptable downtime per year for a service with 99.99% availability?

    <p>52min 35.7s</p> Signup and view all the answers

    If two components each have 99.9% availability and are configured in sequence, what is their overall availability?

    <p>99.8%</p> Signup and view all the answers

    What is the downtime per day for a service that has 99.9% availability?

    <p>1m 26.4s</p> Signup and view all the answers

    How does availability change when components are configured in parallel?

    <p>Availability increases.</p> Signup and view all the answers

    What is the acceptable downtime per month for a service with 99.99% availability?

    <p>4m 23s</p> Signup and view all the answers

    Study Notes

    CAP Theorem

    • A distributed computer system can only support two of three guarantees:
      • Consistency: Every read receives the most recent write or an error.
      • Availability: Every request receives a response, without guarantee it contains the most recent data.
      • Partition Tolerance: The system continues to operate despite network failures.

    Tradeoffs

    • Networks are unreliable, therefore partition tolerance is essential.
    • A choice must be made between consistency and availability.

    CP (Consistency and Partition Tolerance)

    • Waiting for a response from a partitioned node might lead to timeouts.
    • This is suitable when atomic reads/writes are crucial for the business.

    AP (Availability and Partition Tolerance)

    • Responses return the most readily available data from any node; it might not be the latest.
    • Writes may take time to propagate after partition resolution.
    • Suitable for eventual consistency or when the system must continue operating despite errors.

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    Related Documents

    CAP Theorem PDF
    Consistency Patterns PDF
    Availability Patterns PDF

    Description

    Explore the fundamentals of the CAP Theorem as it applies to distributed computer systems. Understand the trade-offs between consistency, availability, and partition tolerance, and the implications for system design. This quiz will enhance your knowledge of these essential concepts.

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