Questions
11 of 24
1What are the SOLID principles? Explain each briefly.
2Explain the Single Responsibility Principle (SRP) with an example.
3Explain the Open/Closed Principle (OCP). How do you achieve it without modifying existing code?
4Explain the Liskov Substitution Principle (LSP). What happens if it's violated? (Square/Rectangle problem)
5Explain the Interface Segregation Principle (ISP). Why are fat interfaces bad?
6Explain the Dependency Inversion Principle (DIP). How does it relate to Dependency Injection?
7What is the difference between Aggregation and Composition?
8What is the Factory Pattern? How does it help in achieving OCP?
9What is the Abstract Factory Pattern? How does it differ from Factory Method?
10What is the Strategy Pattern? How does it replace complex conditional logic?
11What is the Observer Pattern? Where is it used in real life? (Event handling, Pub/Sub)
12What is the Decorator Pattern? How does it add functionality dynamically?
13What is a Singleton Pattern? What are the thread-safety concerns and how to handle them?
14What is an Anti-Pattern? Can you name a few? (God Object, Spaghetti Code, Golden Hammer)
15What is "Coupling" and "Cohesion"? Explain the relationship between them.
16What are Generics/Templates? How do they improve type safety and performance compared to casting?
17What is Type Erasure (Java) vs Reified Generics (C#)?
18What is Variance in Generics? (Covariance and Contravariance)
19What are Extension Methods (C#) or Default Methods (Java)? When should you use them?
20What is Reflection? How can it be used to break Encapsulation? What are the performance costs?
21What is the "Law of Demeter"? (Don't talk to strangers)
22Explain "Tell, Don't Ask" principle.
23What is the DRY principle? How does OOP help achieve it?
24What is the YAGNI principle?
11 / 24

What is the Observer Pattern? Where is it used in real life? (Event handling, Pub/Sub)

Difficulty: 5/10
event handling, pub/sub, decoupling

Observer Pattern

The Observer Pattern establishes a one-to-many relationship where a subject publishes state changes or events and observers react to them. It is common in GUI event handling, domain events and reactive systems. In distributed systems, the same conceptual idea appears in Pub/Sub messaging, although a message broker introduces additional concerns such as delivery semantics, retries and durability.

javascript
  1. 1

    Subject publishes events to registered observers.

  2. 2

    Observers can be added without changing the subject's core behavior.

  3. 3

    Common in UI events and in-process domain events.

  4. 4

    Distributed Pub/Sub extends the concept across processes or services.

  5. 5

    Important concerns include observer lifecycle, ordering, failures and memory leaks.

Scenario Questions

0-2 years experience

  1. 1Imagine you need to add a UI component that updates a status label whenever a background task finishes. How would you use the Observer pattern to implement this?
  2. 2If you forget to unregister an observer after a view is destroyed, what could happen and how would you prevent it?

2-5 years experience

  1. 1We have a chat application where multiple UI widgets need to react to incoming messages. Walk me through how you'd structure observers and what trade‑offs you consider.
  2. 2During a recent release, notifications stopped being delivered after adding a new subscriber. How would you debug the issue in an Observer‑based system?
  3. 3Why might you choose an event bus over a simple observer list in a medium‑scale service?

5-8 years experience

  1. 1Design a scalable event‑distribution layer for a microservices platform using the Observer pattern. How do you handle ordering, back‑pressure, and fault tolerance?
  2. 2What are the performance implications of having thousands of observers on a single subject, and how would you mitigate them?
  3. 3If you need to support dynamic subscription changes at runtime without downtime, how would you evolve the observer implementation?

8+ years experience

  1. 1Our legacy monolith uses a custom observer implementation that’s now a bottleneck. How would you plan a migration to a modern pub/sub infrastructure while keeping existing clients functional?
  2. 2When multiple teams own different parts of an event‑driven system, what governance and versioning strategies would you put in place to avoid breaking changes in the observer contracts?
  3. 3Discuss the long‑term maintainability trade‑offs between a tightly‑coupled observer pattern and a decoupled message‑queue approach in a large organization.

Follow-up Questions

  • Can you share a concrete project where you applied this pattern?
  • How would you ensure thread safety when notifying observers?
  • What would you do if the number of observers grew to thousands?
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