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Reactive Systems

32 Reactive Systems interview questions

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Reactive Systems Fundamentals


  • 1.

    What are the defining characteristics of a Reactive System according to the Reactive Manifesto?

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  • 2.

    How is back-pressure implemented in Reactive Systems to manage data flow?

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  • 3.

    Contrast Elasticity with Scalability with specific examples as they pertain to Reactive Systems.

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  • 4.

    Describe a strategy a Reactive System might use to maintain responsiveness during a component failure.

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  • 5.

    How does message-driven architecture contribute to the resilience of Reactive Systems?

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  • 6.

    Identify a resiliency strategy in Reactive Systems and explain how it minimizes the impact of failures.

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Design Principles of Reactive Systems


  • 7.

    Why are non-blocking I/O operations a necessity in Reactive Programming, and what problems do they solve?

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  • 8.

    In what ways can Domain-Driven Design (DDD) principles enhance the design of a Reactive System?

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  • 9.

    Provide an example of a system that is reactive without fulfilling all the Reactive Manifesto traits. Why does it qualify?

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  • 10.

    Describe how a Reactive System would differently address a transient failure versus a network partition.

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  • 11.

    Discuss a particular transport layer technology you would recommend for Reactive Systems’ asynchronous communication and why.

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  • 12.

    Explain the role of Reactive Systems in processing continuous data streams, providing industry use cases.

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Implementing Reactive Systems


  • 13.

    What is Event Sourcing, and how does it benefit Reactive Systems?

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  • 14.

    Differentiate between hot and cold reactive streams with examples of use cases.

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  • 15.

    Compare synchronous request-response communication with reactive message-driven communication in terms of scalability.

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  • 16.

    Describe a design pattern uniquely suited for Reactive Systems and why it’s effective.

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  • 17.

    Recommend a framework for developing Reactive Systems and discuss its core features.

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  • 18.

    Explain how statefulness is managed in Reactive microservices while ensuring consistency.

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Reactive Programming Paradigms


  • 19.

    Discuss how functional programming principles can be leveraged in Reactive Systems to enhance resiliency.

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  • 20.

    Contrast the Observer pattern with the Publish-Subscribe pattern, providing use cases in Reactive Programming.

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  • 21.

    Provide a use case where Reactive Programming offers significant benefits over an imperative approach.

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  • 22.

    Define a “stream” in Reactive Programming, demonstrating its advantages over traditional collections like arrays or lists.

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Fault-tolerance and Reliability


  • 23.

    How can the circuit breaker pattern prevent cascading failures in a Reactive System?

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  • 24.

    Outline an effective back-pressure strategy for a Reactive System experiencing high load.

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  • 25.

    Describe a supervision strategy in Reactive Systems and its role in managing failures.

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Performance and Scalability


  • 26.

    Explain how Reactive Systems exploit multicore_ and distributed resources to improve performance.

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  • 27.

    What does “location transparency” mean in Reactive Systems, and how does this concept apply to a distributed data store?

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  • 28.

    Identify potential performance bottlenecks in a streaming Reactive System and suggest monitoring strategies.

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  • 29.

    Describe a method or tools you would use to test and ensure a Reactive System’s scalability under a simulated load.

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Tools and Technologies


  • 30.

    List some key Reactive programming libraries and provide a brief overview of one framework’s core feature set.

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  • 31.

    What role do message queues play in Reactive Systems, and what characteristics are most important for them to have?

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  • 32.

    What are some common challenges faced when integrating Reactive Systems with non-reactive legacy systems, and how can they be mitigated?

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