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Implement an algorithm to find the longest ordered subsequence of vowels in a given string.

Python/Codinghard0.6 min readPremium
Frequency
Low
Asked at 1 company
Category
179
questions in Python/Coding
Difficulty Split
127E|24M|28H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Expedia
Key Concepts Tested
spark
Expert AnswerPremium
127 wordsInterview-ready
**Why This Pattern Matters:** Subsequence DP is foundational for sequence alignment, log parsing (ordered event sequences), and NLP token sequences. **Architectural Logic:** We track the longest valid subsequence ending at each vowel (a→e→i→o→u). State: dp[v] = max length ending at vowel v. Transition: when we see vowel v, we can extend from prev vowel. O(n) time, O(1) space—five vowel states. **Scalability:** Linear scan, no extra structures—suitable for streaming....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Expedia. The answer also includes follow-up discussion points that interviewers commonly explore.

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