PracHub
QuestionsPremiumLearningGuidesCheatsheetNEWCoaches
|Home/Coding & Algorithms/Microsoft

Design a scalable URL shortening service

Last updated: Mar 29, 2026

Quick Overview

This question evaluates system-design and distributed-systems skills—including scalability, data modeling, unique ID generation and encoding, caching strategies, consistency, and operational fault tolerance—within the Coding & Algorithms domain for a Data Engineer position.

  • Microsoft
  • Coding & Algorithms
  • Data Engineer

Design a scalable URL shortening service

Company: Microsoft

Role: Data Engineer

Category: Coding & Algorithms

Interview Round: Technical Screen

Design a highly scalable URL shortening service (like bit.ly). Requirements: - Provide an API to create a short URL for a given long URL. - Provide an API to redirect (resolve) a short code back to the original long URL. - The mapping must be **unique** (no two long URLs should end up with the same short code unless explicitly intended) and **reversible** (given a short code, you can retrieve the original URL). - The system should handle high read traffic (redirects) and support horizontal scaling. - Discuss caching and persistence choices. Deliverables: 1) High-level architecture (services, storage, caches, CDN/edge considerations). 2) Data model/schema for storing mappings. 3) Strategy for generating short codes: - Option A: hashing the long URL - Option B: generating globally unique IDs and encoding them (e.g., Base62) 4) How to guarantee global uniqueness across multiple instances/regions. 5) Follow-up: If you use hashing, how do you detect and handle hash collisions? Provide at least two approaches and their tradeoffs. Assumptions (state any others you need): - Short codes should be as short as possible (e.g., 6–10 characters) and URL-safe. - Redirect latency should be low (e.g., p95 < 50 ms) and the service must tolerate partial failures.

Quick Answer: This question evaluates system-design and distributed-systems skills—including scalability, data modeling, unique ID generation and encoding, caching strategies, consistency, and operational fault tolerance—within the Coding & Algorithms domain for a Data Engineer position.

Related Interview Questions

  • Sort Three Categories In Place - Microsoft (medium)
  • Implement K-Means and Detect Divisible Subarrays - Microsoft (medium)
  • Implement SFT Sample Packing - Microsoft (medium)
  • Implement SQL Table and DNA Ordering - Microsoft (medium)
  • Solve power jumps and graph tour - Microsoft (hard)
Microsoft logo
Microsoft
Feb 14, 2025, 12:00 AM
Data Engineer
Technical Screen
Coding & Algorithms
2
0

Design a highly scalable URL shortening service (like bit.ly).

Requirements:

  • Provide an API to create a short URL for a given long URL.
  • Provide an API to redirect (resolve) a short code back to the original long URL.
  • The mapping must be unique (no two long URLs should end up with the same short code unless explicitly intended) and reversible (given a short code, you can retrieve the original URL).
  • The system should handle high read traffic (redirects) and support horizontal scaling.
  • Discuss caching and persistence choices.

Deliverables:

  1. High-level architecture (services, storage, caches, CDN/edge considerations).
  2. Data model/schema for storing mappings.
  3. Strategy for generating short codes:
    • Option A: hashing the long URL
    • Option B: generating globally unique IDs and encoding them (e.g., Base62)
  4. How to guarantee global uniqueness across multiple instances/regions.
  5. Follow-up: If you use hashing, how do you detect and handle hash collisions? Provide at least two approaches and their tradeoffs.

Assumptions (state any others you need):

  • Short codes should be as short as possible (e.g., 6–10 characters) and URL-safe.
  • Redirect latency should be low (e.g., p95 < 50 ms) and the service must tolerate partial failures.

Comments (0)

Sign in to leave a comment

Loading comments...

Browse More Questions

More Coding & Algorithms•More Microsoft•More Data Engineer•Microsoft Data Engineer•Microsoft Coding & Algorithms•Data Engineer Coding & Algorithms
PracHub

Master your tech interviews with 7,500+ real questions from top companies.

Product

  • Questions
  • Learning Tracks
  • Interview Guides
  • Resources
  • Premium
  • For Universities
  • Student Access

Browse

  • By Company
  • By Role
  • By Category
  • Topic Hubs
  • SQL Questions
  • Compare Platforms
  • Discord Community

Support

  • support@prachub.com
  • (916) 541-4762

Legal

  • Privacy Policy
  • Terms of Service
  • About Us

© 2026 PracHub. All rights reserved.