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Meta·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jul 2026

Summary

Went through a technical phone screen at Meta for a software engineering role. Two questions, one graph problem and one string math problem. Nothing too wild but the multiply strings one had a subtle carry edge case I wasn't fully prepared for.

Questions Asked (2)

Q1

You have N distinct islands and a list of undirected paths connecting some of them. What is the minimum number of additional paths needed to make all islands reachable from each other?

Algorithms & Data Structures
Author's notes

Classic connected components problem.

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AI HintsAI Generated

Suggested Approach

Model the islands and paths as an undirected graph, then find the number of connected components. The minimum number of additional paths needed to connect all islands is the number of connected components minus one.

Pro tip: Clarify edge cases upfront: if N=0 or N=1, the answer is 0; if there are no paths, the answer is N-1. Also, mention that you can use Union-Find for near-linear time, which is optimal for large inputs.

1. Model as a graph

Treat each island as a node and each path as an undirected edge. The problem reduces to finding the number of connected components in this graph.

2. Choose an algorithm

Use Union-Find (Disjoint Set Union) or DFS/BFS to count connected components. Union-Find is efficient for dynamic connectivity and large graphs.

3. Count components

Initialize each island as its own component. For each path, union the two islands. The number of unique roots after processing all paths is the number of connected components.

4. Compute answer

The minimum additional paths needed is (number of connected components - 1). If there are no islands, return 0.

5. Analyze complexity

With Union-Find, time complexity is O(N + E α(N)) and space O(N), where E is the number of paths. This is optimal for large inputs.

Key Points to Mention

  • Graph representation: islands as nodes, paths as edges.
  • Connected components concept and why it's the key.
  • Union-Find (Disjoint Set Union) with path compression and union by rank.
  • Alternative: DFS/BFS for counting components.
  • Edge cases: N=0, N=1, no paths, already connected.
  • Time and space complexity analysis.

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

Q2

Given two non-negative integers represented as strings, return their product also as a string, without converting directly to integers.

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

The carry thing is what gets people.

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AI HintsAI Generated

Suggested Approach

Clarify that you will simulate grade-school multiplication digit by digit, storing intermediate results in an array. Then convert the array to a string, handling leading zeros and edge cases like zero inputs.

Pro tip: Mention that you can optimize space by using a single array of size m+n and accumulating products in place, avoiding extra arrays. Also, discuss the trade-off between this manual approach and using built-in big integer libraries, showing awareness of practical constraints.

1. Clarify requirements and edge cases

Confirm that inputs are non-negative and may be very large. Discuss edge cases: empty strings, leading zeros, and zero as an input.

2. Choose the algorithm

Explain that you will simulate multiplication digit by digit, similar to how it's done by hand, to avoid integer overflow.

3. Implement the multiplication

Iterate through each digit of both strings from right to left, compute the product, and add it to the correct position in a result array, handling carries.

4. Convert result to string

After processing all digits, convert the result array to a string, skipping leading zeros. If the result is zero, return '0'.

5. Analyze complexity and trade-offs

State that time complexity is O(m*n) and space complexity is O(m+n). Discuss potential optimizations and trade-offs with using built-in libraries.

Key Points to Mention

  • Digit-by-digit multiplication with carry handling
  • Using an array of size m+n to store intermediate results
  • Handling leading zeros in the final string
  • Edge cases: zero inputs, empty strings, and single-digit numbers
  • Time and space complexity analysis
  • Trade-offs between manual implementation and using built-in big integer libraries

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