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Salesforce·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jul 2026

Summary

Salesforce SWE interview with a string algorithm problem that looks deceptively simple until you remember the cyclic part.

Questions Asked (1)

Q1

Given a cyclic string S and a pattern k, find the shortest contiguous subsequence of S (treating it as circular) that contains all characters in k.

Algorithms & Data Structures
Author's notes

The example they gave was s = 'abcdefgh' and k = 'fha', answer being 'fgha'.

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AI HintsAI Generated

Suggested Approach

Clarify the problem constraints and edge cases, then propose an efficient algorithm such as sliding window with a frequency map, adapted for circularity by doubling the string or using modular indexing. Explain the time and space complexity, and discuss potential optimizations or alternative approaches.

Pro tip: Demonstrate awareness of circular edge cases by explicitly handling the case where the shortest window wraps around the end of the string, and mention that the answer might be the entire string if no smaller window exists.

1. Clarify requirements and constraints

Ask about input sizes, character set, whether k can contain duplicates, and if the subsequence must be contiguous. Confirm that the string is circular and that we need the shortest contiguous subsequence containing all characters of k.

2. Outline a brute-force approach

Mention that a naive solution would check all possible starting positions and expand until all characters are found, taking O(n^2) time. This sets a baseline for optimization.

3. Propose an efficient sliding window algorithm

Describe using a sliding window with two pointers and a frequency map to track characters of k. For circularity, either double the string or use modular arithmetic to handle wrap-around, ensuring the window length does not exceed n.

4. Analyze complexity and edge cases

State that the sliding window approach runs in O(n) time and O(m) space, where m is the number of distinct characters in k. Discuss edge cases: k longer than S, k with characters not in S, and the entire string being the answer.

5. Discuss optimizations and alternatives

Mention possible optimizations like using a counter and a variable to track how many characters are satisfied, or alternative approaches like binary search on window length with a sliding window check.

Key Points to Mention

  • Sliding window technique with two pointers and a frequency map
  • Handling circularity by doubling the string or using modular indexing
  • Time complexity O(n) and space complexity O(m) where m is distinct characters in k
  • Edge cases: k longer than S, characters in k not present in S, and wrap-around windows
  • The need to ensure the window length does not exceed n to avoid infinite loops
  • Potential optimizations like using a counter to track satisfied characters

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