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Early-stage Startup·Software Engineer·Online Assessment (OA)·Intermediate

IntermediatePrefer not to say
Jun 2026Remote

Summary

Got an OA-style graph problem and spent way too long second-guessing whether my greedy solution was even valid. The problem looked deceptively simple but the underlying concept wasn't immediately obvious to me.

Questions Asked (1)

Q1

Given a graph of buildings connected by pathways, find the minimum number of mail rooms needed so that every building is serviced, where a mail room in a building covers that building and all its direct neighbors.

Algorithms & Data Structures
Author's notes

My first instinct was greedy: pick the node with the highest degree, mark it and its neighbors as covered, repeat.

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AI HintsAI Generated

Suggested Approach

Recognize this as the minimum dominating set problem on a graph, which is NP-hard in general. For an interview, discuss the NP-hardness and then propose a solution for special cases (e.g., trees) or a greedy approximation, while clarifying constraints with the interviewer.

Pro tip: Always clarify the graph's properties (e.g., is it a tree, planar, or general?) and the expected input size. This shows you understand that the approach depends on constraints and avoids over-engineering.

1. Clarify the problem and constraints

Ask about graph size, structure (tree, general graph), and whether an exact or approximate solution is needed. This determines the algorithmic approach.

2. Identify the problem as minimum dominating set

Explain that a mail room covers itself and neighbors, so we need a minimum dominating set. Mention that this is NP-hard for general graphs.

3. Propose a solution for special cases

If the graph is a tree, use dynamic programming or greedy algorithm. For general graphs, discuss approximation algorithms or exponential exact algorithms if small.

4. Analyze complexity and trade-offs

State the time and space complexity of your chosen approach. Discuss trade-offs between optimality and efficiency.

5. Test with examples and edge cases

Walk through a simple example (e.g., a path or star graph) to verify the solution. Consider edge cases like disconnected graphs or isolated vertices.

Key Points to Mention

  • Minimum dominating set problem
  • NP-hardness for general graphs
  • Dynamic programming on trees
  • Greedy approximation algorithm
  • Time and space complexity analysis
  • Clarifying questions about graph properties

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