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Interview Questions›Topics›Merge Sort

Merge Sort Interview Questions

Master 12 merge sort problems frequently asked in technical interviews. These questions test your understanding of merge sortconcepts and are essential for coding interview success.

12
Total Problems
0
Easy
4
Medium
8
Hard

Related Topics

Divide and ConquerArraySegment TreeBinary SearchBinary Indexed TreeOrdered SetTreapHash Table
#23HardFrequency: 75.1%

Merge k Sorted Lists

Asked at Meta
Linked ListDivide and ConquerHeap (Priority Queue)Merge SortTournament Sort
#1
Rank
#948MediumFrequency: 46.7%

Sort an Array

Asked at Infosys
ArrayDivide and ConquerSortingHeap (Priority Queue)Merge SortBucket SortRadix SortCounting Sort
#2
Rank
#148MediumFrequency: 46%

Sort List

Asked at Amazon
Linked ListTwo PointersDivide and ConquerSortingMerge Sort
#3
Rank
#493HardFrequency: 44.6%

Reverse Pairs

Asked at Amazon
ArrayBinary SearchDivide and ConquerBinary Indexed TreeSegment TreeMerge SortOrdered SetTreap
#4
Rank
#315HardFrequency: 33.1%

Count of Smaller Numbers After Self

Asked at Google
ArrayBinary SearchDivide and ConquerBinary Indexed TreeSegment TreeMerge SortOrdered SetTreap
#5
Rank
#327HardFrequency: 31.3%

Count of Range Sum

Asked at Infosys
ArrayBinary SearchDivide and ConquerBinary Indexed TreeSegment TreeMerge SortOrdered SetTreap
#6
Rank
#2658HardFrequency: 20%

Count the Number of K-Big Indices

Asked at Amazon
ArrayBinary SearchDivide and ConquerBinary Indexed TreeSegment TreeMerge SortOrdered Set
#7
Rank
#4074MediumFrequency: 19.5%

Count Subarrays With Majority Element I

Asked at Microsoft
ArrayHash TableDivide and ConquerSegment TreeMerge SortCountingPrefix Sum
#8
Rank
#2513HardFrequency: 18%

Number of Pairs Satisfying Inequality

Asked at Google
ArrayBinary SearchDivide and ConquerBinary Indexed TreeSegment TreeMerge SortOrdered Set
#9
Rank
#510MediumFrequency: 16.4%

Count Subarrays With More Ones Than Zeros

Asked at Google
ArrayHash TableBinary SearchDivide and ConquerBinary Indexed TreeSegment TreeMerge SortOrdered Set
#10
Rank
#2280HardFrequency: 10.5%

Count Good Triplets in an Array

Asked at Google
ArrayBinary SearchDivide and ConquerBinary Indexed TreeSegment TreeMerge SortOrdered Set
#11
Rank
#4075HardFrequency: 7.3%

Count Subarrays With Majority Element II

Asked at Microsoft
ArrayHash TableDivide and ConquerSegment TreeMerge SortPrefix Sum
#12
Rank
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