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CAP Theorem

15 CAP Theorem interview questions

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CAP Theorem Fundamentals

  • 1.

    What is CAP Theorem and why it’s important for distributed systems?

  • 2.

    How does the CAP Theorem define consistency in the context of a distributed system?

  • 3.

    What does availability mean in CAP Theorem?

  • 4.

    Explain partition tolerance in a distributed system as stated by the CAP Theorem.


Real-World Implications and Trade-offs

  • 5.

    Give an example of a real system that favors consistency over availability.

  • 6.

    Can you name a system that prefers availability over consistency?

  • 7.

    What is meant by “eventual consistency” in the context of CAP Theorem?

  • 8.

    What trade-offs you might have to make in a distributed system design due to the CAP Theorem.


Designing with CAP in Mind

  • 9.

    How would you design a system that requires high availability and what trade-offs would you have to make according to the CAP Theorem?

  • 10.

    If a system is experiencing a partition (network failure), what strategies can you employ to maintain service?

  • 11.

    Considering the CAP Theorem, how would you approach building a distributed system that handles sensitive financial transactions?


CAP in Practice

  • 12.

    Describe a scenario where a system may switch from being CA to AP during its operation due to external factors.

  • 13.

    How do quorums help in achieving consistency or availability in distributed systems, and how is this related to CAP Theorem?

  • 14.

    How do modern databases like Cassandra or DynamoDB address the challenges posed by the CAP Theorem?


Advanced Understanding of CAP

  • 15.

    Explain how concepts like idempotency, commutativity, and convergence are important in designs that are influenced by the CAP Theorem.

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