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Microsoft·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
May 2026

Summary

Microsoft SWE interview with a classic URL shortener design problem. Pretty standard stuff but the details trip you up if you're not careful about the round-trip contract and keeping things O(1).

Questions Asked (1)

Q1

Design and implement an in-memory URL shortener with encode and decode methods, where encode converts a long URL to a short one with a fixed prefix, and decode reverses it. Both operations should run in expected O(1) time.

System DesignAlgorithms & Data StructuresTechnical Trade-offs
Author's notes

My first instinct was to use a hash of the URL as the key, which works until you realize collisions are a real problem and you need to handle them.

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AI HintsAI Generated

Suggested Approach

Clarify requirements (e.g., fixed prefix, expected O(1) time, in-memory) and then propose a design using a hash map for bidirectional mapping and a counter or random ID generator for unique short codes. Discuss trade-offs such as collision handling, scalability, and potential improvements like base62 encoding.

Pro tip: Mention that using a simple incrementing counter with base62 encoding guarantees uniqueness and O(1) operations, but be prepared to discuss the trade-off of predictable short URLs and potential security concerns.

1. Clarify Requirements

Ask about expected scale, prefix format, character set for short codes, and whether persistence is needed. Confirm that both encode and decode must be O(1) on average.

2. Design Data Structures

Propose using two hash maps: one from long URL to short code and one from short code to long URL. Use a counter or random generator to create unique short codes.

3. Implement Encode and Decode

For encode, check if long URL already exists; if not, generate a new short code, store mappings, and return the short URL. For decode, look up the short code in the map and return the long URL.

4. Analyze Complexity and Trade-offs

Explain that both operations are O(1) average time due to hash map lookups. Discuss trade-offs: counter approach is simple but predictable; random approach may need collision handling.

5. Discuss Extensions

Mention how to handle collisions, scale to distributed systems, add expiration, or use a more compact encoding like base62.

Key Points to Mention

  • Use of hash maps for O(1) average time complexity
  • Unique short code generation via counter or random with collision resolution
  • Base62 encoding to convert numeric IDs to short strings
  • Handling duplicate long URLs (idempotent encode)
  • Trade-offs between deterministic and random short codes
  • Potential need for thread safety in concurrent environments

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.