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Implement a simple service with tests

Last updated: Mar 29, 2026

Quick Overview

Implement a simple service with tests evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details 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
  • DoorDash
  • Coding & Algorithms
  • Software Engineer

Implement a simple service with tests

Company: DoorDash

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: Medium

Interview Round: Onsite

You're given a short written specification for a small service class (no external dependencies). Implement the class using clear control flow (primarily if/else) and robust input validation. The exercise has three parts: ( 1) implement the core logic; ( 2) extend it with an additional requirement based on clarified assumptions; ( 3) write unit tests that cover happy paths, edge cases, and error handling for both parts. State all assumptions explicitly and provide method signatures and representative test cases.

Quick Answer: Implement a simple service with tests evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

Solution

# Solution Alignment The prompt asks for an implementation-level answer. The safest way to present it is to define the state, maintain clear invariants, then walk through complexity and tests. ## Problem Restatement You're given a short written specification for a small service class (no external dependencies). Implement the class using clear control flow (primarily if/else) and robust input validation. The exercise has three parts: ( 1) implement the core logic; ( 2) extend it with an additional requirement based on clarified assumptions; ( 3) write unit tests that cover happy paths, edge cases, and error handling for both parts. State all assumptions explicitly and provide method signatures and representative test cases. ## Recommended Approach Model the states explicitly and use BFS for unweighted shortest paths, Dijkstra for weighted non-negative paths, or topological DP for DAGs. Track visited states at the right granularity so cycles do not cause repeated work. ## Correctness The implementation should maintain an invariant after each loop or operation that directly matches the problem statement. At termination, that invariant implies the returned value has considered every valid candidate exactly once, or has preserved the required data-structure state after every API call. ## Complexity BFS is O(V + E) time and O(V) space for a standard graph. Expanded-state problems multiply those bounds by the number of state dimensions. ## Edge Cases and Tests Disconnected graph, source equals target, cycles, duplicate edges, unreachable target, and whether the answer counts nodes, edges, moves, or transfers.

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|Home/Coding & Algorithms/DoorDash

Implement a simple service with tests

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DoorDash
Jul 15, 2025, 12:00 AM
MediumSoftware EngineerOnsiteCoding & Algorithms
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0

Implement a simple service with tests

You're given a short written specification for a small service class (no external dependencies). Implement the class using clear control flow (primarily if/else) and robust input validation. The exercise has three parts: (

  1. implement the core logic; (
  2. extend it with an additional requirement based on clarified assumptions; (
  3. write unit tests that cover happy paths, edge cases, and error handling for both parts. State all assumptions explicitly and provide method signatures and representative test cases.

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 input sizes, value ranges, mutability, return format, and tie-breaking.
  • State the target time and space complexity before coding.
  • Call out edge cases such as empty inputs, duplicates, invalid values, overflow, and boundary sizes.

What a Strong Answer Covers

  • A clear algorithm with the right data structures and enough pseudocode or code-level detail to implement it.
  • A correctness argument that explains why the algorithm covers all required cases.
  • Time and space complexity, plus at least one alternative approach when relevant.
  • Focused tests for normal cases, edge cases, and failure modes.

Follow-up Questions

  • How would the approach change if the input were streaming or too large for memory?
  • What invariants would you assert in production code?
  • Which tests would catch off-by-one, duplicate, or tie-breaking bugs?

Submit Your Answer to Earn 20XP

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