How often are these problems asked?
Frequency scores are based on crowdsourced interview reports. A higher score means the problem has been reported more often in recent Okta interviews.
Very Likely
75-100%
Likely
50-74%
Sometimes
25-49%
Rare
0-24%
Problem database last updated: June 20, 2025
6 problems · 0 Easy, 5 Medium, 1 Hard · Ranked #212 of 458
0 Easy
0% · avg 23%
5 Medium
83% · avg 59%
1 Hard
17% · avg 18%
Based on 6 reported problems, Okta interviews are in line with industry averages - 17% Hard vs 18% overall. The majority (83%) of questions are Medium difficulty, which is typical for companies that want to see solid fundamentals without excessive trick questions.
Compared to the industry average, Okta puts unusual emphasis on design (50% of problems, 8.6x the industry average), sorting (33.3% of problems, 2.3x the industry average), hash-table (33.3% of problems, 1.5x the industry average). If you're short on time, these are the categories to double down on.
The most common topics are array (66.7%), design (50%), hash-table (33.3%), sorting (33.3%). Problems below are sorted by frequency, the ones at the top are asked most often.
| Problem | Difficulty | Frequency | Topics | |
|---|---|---|---|---|
Insert Delete GetRandom O(1) Implement the RandomizedSet class: | Medium | Very Likely | arrayhash-tablemath | Solve |
Find Median from Data Stream The median is the middle value in an ordered integer list. If the size of the list is even, there is no middle value, and the median is the mean of the two midd... | Hard | Very Likely | two-pointersdesignsorting | Solve |
Merge Intervals Given an array of intervals where intervals[i] = [starti, endi], merge all overlapping intervals, and return an array of the non-overlapping intervals that cove... | Medium | Very Likely | arraysorting | Solve |
Koko Eating Bananas Koko loves to eat bananas. There are n piles of bananas, the ith pile has piles[i] bananas. The guards have gone and will come back in h hours. | Medium | Very Likely | arraybinary-search | Solve |
Daily Temperatures Given an array of integers temperatures represents the daily temperatures, return an array answer such that answer[i] is the number of days you have to wait aft... | Medium | Very Likely | arraystackmonotonic-stack | Solve |
LRU Cache Design a data structure that follows the constraints of a Least Recently Used (LRU) cache. | Medium | Very Likely | hash-tablelinked-listdesign | Solve |
Insert Delete GetRandom O(1)
SolveImplement the RandomizedSet class:
Find Median from Data Stream
SolveThe median is the middle value in an ordered integer list. If the size of the list is even, there is no middle value, and the median is the mean of the two midd...
Merge Intervals
SolveGiven an array of intervals where intervals[i] = [starti, endi], merge all overlapping intervals, and return an array of the non-overlapping intervals that cove...
Koko Eating Bananas
SolveKoko loves to eat bananas. There are n piles of bananas, the ith pile has piles[i] bananas. The guards have gone and will come back in h hours.
Daily Temperatures
SolveGiven an array of integers temperatures represents the daily temperatures, return an array answer such that answer[i] is the number of days you have to wait aft...
LRU Cache
SolveDesign a data structure that follows the constraints of a Least Recently Used (LRU) cache.
Frequency scores are based on crowdsourced interview reports. A higher score means the problem has been reported more often in recent Okta interviews.
Very Likely
75-100%
Likely
50-74%
Sometimes
25-49%
Rare
0-24%
Okta interviews focus heavily on array, design, hash-table 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. Okta 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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Okta has been reported to ask 6 distinct coding problems. The most common topics are array, design, hash-table. 0 are Easy difficulty, 5 are Medium, and 1 are Hard. Problems are sorted by frequency - the ones at the top are asked most often.
Based on 6 reported problems, Okta interviews are in line with industry averages - 17% Hard vs 18% overall. 83% 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, design, hash-table. 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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