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Implement and compare key design patterns

Last updated: Mar 29, 2026

Quick Overview

Implement and compare key design patterns evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  • medium
  • TikTok
  • System Design
  • Software Engineer

Implement and compare key design patterns

Company: TikTok

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Technical Screen

Implement simple examples of Singleton (thread-safe and lazy), Factory Method, and Strategy in Java. Compare their trade-offs, extensibility, and testability. Show how you would refactor one example to reduce coupling and enable dependency injection.

Quick Answer: Implement and compare key design patterns evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

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|Home/System Design/TikTok

Implement and compare key design patterns

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TikTok
Jul 17, 2025, 12:00 AM
mediumSoftware EngineerTechnical ScreenSystem Design
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Implement and compare key design patterns

Implement Core GoF Patterns in Java and Discuss Trade-offs

Context

You are designing a small Java library and want to demonstrate three classic GoF design patterns with concise examples. You should:

  1. Implement a thread-safe, lazy Singleton.
  2. Implement the Factory Method pattern.
  3. Implement the Strategy pattern and a simple client that uses it.
  4. Compare these patterns in terms of trade-offs, extensibility, and testability.
  5. Refactor one example to reduce coupling and enable dependency injection (constructor injection is fine).

Keep code snippets small and focused on illustrating the pattern rather than full application logic.

Constraints & Assumptions

  • Preserve the scope, facts, inputs, and requested outputs from the prompt above.
  • If the prompt leaves a detail unspecified, state a reasonable assumption before relying on it.
  • Keep the answer interview-ready: concise enough to present, but concrete enough to implement or evaluate.

Clarifying Questions to Ask

  • Clarify users, core use cases, read/write patterns, scale, latency, availability, and data retention.
  • State explicit assumptions before making sizing or architecture decisions.
  • Prioritize the functional path first, then address reliability, security, observability, and rollout.

What a Strong Answer Covers

  • A scoped requirements summary with concrete non-goals and success metrics.
  • API, data model, architecture, consistency, capacity, and operations.
  • Reasoned trade-offs among simple and scalable designs, including bottlenecks and failure modes.
  • A validation, monitoring, migration, and launch plan appropriate for the risk level.

Follow-up Questions

  • What breaks first at 10x traffic or data volume?
  • How would you degrade gracefully during dependency failures?
  • What metrics and alerts would prove the design is healthy after launch?

Submit Your Answer to Earn 20XP

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