Problem database last updated: June 20, 2025
2 problems · 0 Easy, 1 Medium, 1 Hard · Ranked #394 of 458
0 Easy
0% · avg 23%
1 Medium
50% · avg 59%
1 Hard
50% · avg 18%
Based on 2 reported problems, Licious interviews are significantly harder than average - 50% Hard vs 18% across all companies.
Compared to the industry average, Licious puts unusual emphasis on array (100% of problems, 1.7x the industry average). If you're short on time, these are the categories to double down on.
The most common topics are array (100%), binary-search (50%), dynamic-programming (50%), hash-table (50%). Problems below are sorted by frequency, the ones at the top are asked most often.
| Problem | Difficulty | Frequency | Topics | |
|---|---|---|---|---|
Longest Increasing Subsequence Given an integer array nums, return the length of the longest strictly increasing subsequence. | Medium | Very Likely | arraybinary-searchdynamic-programming | Solve |
First Missing Positive Given an unsorted integer array nums. Return the smallest positive integer that is not present in nums. | Hard | Very Likely | arrayhash-table | Solve |
Longest Increasing Subsequence
SolveGiven an integer array nums, return the length of the longest strictly increasing subsequence.
First Missing Positive
SolveGiven an unsorted integer array nums. Return the smallest positive integer that is not present in nums.
Frequency scores are based on crowdsourced interview reports. A higher score means the problem has been reported more often in recent Licious interviews.
Very Likely
75-100%
Likely
50-74%
Sometimes
25-49%
Rare
0-24%
Licious interviews focus heavily on array, binary-search, dynamic-programming problems. If you're short on time, these are the categories to prioritize. The problems on this page are sorted by frequency, so start from the top and work your way down.
Beyond solving problems, practice explaining your approach. Licious interviewers care about your thought process - how you break down a problem, consider edge cases, and evaluate tradeoffs between solutions. A clean O(n) solution you can explain clearly beats an O(log n) solution you can't articulate.
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Licious has been reported to ask 2 distinct coding problems. The most common topics are array, binary-search, dynamic-programming. 0 are Easy difficulty, 1 are Medium, and 1 are Hard. Problems are sorted by frequency - the ones at the top are asked most often.
Based on 2 reported problems, Licious interviews are significantly harder than average - 50% Hard vs 18% across all companies. 50% of questions are Medium difficulty. Focus on the high-frequency Medium problems first, then work through the Hard ones.
Start with the highest-frequency problems listed on this page. Focus on the core topics: array, binary-search, dynamic-programming. Practice solving them under time pressure and explaining your approach out loud. Mock interviews with AI can simulate the real experience.
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