Kth Largest Element in an Array: which companies ask it and how to practise
Kth Largest Element in an Array is a Medium problem that 41 companies are reported to ask. This page shows who, how often and how recently, what the question tests, and how to practise it out loud with an interviewer who asks follow-ups. We link to the original problem statement instead of copying it.
Which companies ask Kth Largest Element in an Array?
Public company lists attribute Kth Largest Element in an Array, a Medium problem, to 41 companies. The most frequent askers are Pocket Gems, Avito and Meta. 11 reports are from the last six months. It mainly tests array, divide and conquer and sorting. Use this as a practice guide, not a promise.
Practise this kind of question aloud
Who asks Kth Largest Element in an Array
41 companies appear in the public lists for this question. By how often each is reported: Pocket Gems (very often), Avito (very often), Meta (very often), Texas Instruments (very often), Spotify (very often), Apple (often), Alibaba (often), SAP (often), Walmart Labs (often) and ServiceNow (often), and 31 more. 11 of them were reported in the last six months, Meta, Spotify and Walmart Labs among them.
These are candidate reports collected in public lists, not statements from the companies. They are a good guide to what to practise and a poor guide to what you will be asked: interviewers change questions, and the same company asks different questions by team and level. Last reviewed 25 October 2026.
What Kth Largest Element in an Array tests
It is rated Medium, which is the level most interviews are built around: expect to talk through two approaches, pick one, code it cleanly, and answer a cross-question on an edge case or a change to the constraints.
Arrays are the default container, so the interviewer is watching how you index, how you avoid a second full pass, and whether you notice when sorting or a hash map would remove a nested loop.
Divide and conquer splits the input, solves the halves, and merges. The cost is in the merge step, so say what it is.
Sorting is often the first step that makes the rest easy. State its cost (usually n log n) and say whether you may change the input.
How to practise it
Do not just solve it silently. In a real interview you explain the approach before you code, write while you talk, and defend the solution to follow-ups. Set a timer, say the brute force and its cost first, then improve it, and finish by stating the time and space complexity and two edge cases you tested.
On giveinterview you can take this kind of question as a spoken interview: the AI interviewer opens with the problem, watches you code, asks cross-questions and ends with a scorecard. Your first 3 single-question interviews are free for life, every interview report is free, and a new account also gets 6 welcome credits.
Read the original statement here: https://leetcode.com/problems/kth-largest-element-in-an-array/ (opens the publisher's page). The statement is theirs; we do not reproduce it.
Questions to practise next
If you can solve Kth Largest Element in an Array, try these next, chosen because they share its main topic and many of the same companies: Two Sum (Easy), Merge Intervals (Medium), Best Time to Buy and Sell Stock (Easy), Number of Islands (Medium), Group Anagrams (Medium) and Trapping Rain Water (Hard). Each has its own page in the questions list.
Frequently asked questions
Is Kth Largest Element in an Array asked at Amazon?
Amazon appears in the public lists for Kth Largest Element in an Array, reported often. Treat that as a reason to practise it, not a promise you will be asked it.
How hard is Kth Largest Element in an Array?
It is rated Medium, which is the level most interviews are built around: expect to talk through two approaches, pick one, code it cleanly, and answer a cross-question on an edge case or a change to the constraints.
Do I need to memorise the solution?
No. Interviewers listen for how you reason: the approach, the trade-offs, the edge cases and the complexity. Practise explaining it, not reciting it.
Sources and review date
Last reviewed 25 October 2026 Statements about other products come from their own public pages:
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