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Urban LeetCode Interview Questions

Practice 30 real coding problems frequently asked in Urban technical interviews. Master these questions to ace your next Urban software engineering interview.

12 Easy
14 Medium
4 Hard

Top Topics at Urban

ArrayHash TableStringTwo PointersStack

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Urban Interview Problems

ProblemDifficultyDiffFrequencyTopicsAction
Remove All Adjacent Duplicates In String
100%
EasyE
100%
StringStack
Solve→
Interval List Intersections
86%
MediumM
86%
ArrayTwo Pointers
Solve→
Two Sum
81%
EasyE
81%
ArrayHash Table
Solve→
Trips and Users
80%
HardH
80%
Database
Solve→
Find Leaves of Binary Tree
80%
MediumM
80%
TreeDepth-First Search+1
Solve→
Flatten Binary Tree to Linked List
78%
MediumM
78%
Linked ListStack+3
Solve→
The kth Factor of n
73%
MediumM
73%
MathNumber Theory
Solve→
Squares of a Sorted Array
73%
EasyE
73%
ArrayTwo Pointers+1
Solve→
String Compression
73%
MediumM
73%
Two PointersString
Solve→
First Unique Character in a String
69%
EasyE
69%
Hash TableString+2
Solve→
Design HashMap
67%
EasyE
67%
ArrayHash Table+3
Solve→
Remove Element
64%
EasyE
64%
ArrayTwo Pointers
Solve→
Valid Anagram
64%
EasyE
64%
Hash TableString+1
Solve→
Binary Tree Zigzag Level Order Traversal
62%
MediumM
62%
TreeBreadth-First Search+1
Solve→
Longest Consecutive Sequence
61%
MediumM
61%
ArrayHash Table+1
Solve→
Recyclable and Low Fat Products
59%
EasyE
59%
Database
Solve→
Basic Calculator II
57%
MediumM
57%
MathString+1
Solve→
Accounts Merge
55%
MediumM
55%
ArrayHash Table+5
Solve→
Diameter of Binary Tree
50%
EasyE
50%
TreeDepth-First Search+1
Solve→
Walls and Gates
45%
MediumM
45%
ArrayBreadth-First Search+1
Solve→
Palindrome Linked List
45%
EasyE
45%
Linked ListTwo Pointers+2
Solve→
Reverse Nodes in k-Group
42%
HardH
42%
Linked ListRecursion
Solve→
Longest Increasing Path in a Matrix
41%
HardH
41%
ArrayDynamic Programming+6
Solve→
Subarray Sum Equals K
38%
MediumM
38%
ArrayHash Table+1
Solve→
Longest Arithmetic Subsequence of Given Difference
32%
MediumM
32%
ArrayHash Table+1
Solve→

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Check if One String Swap Can Make Strings Equal
28%
EasyE
28%
Hash TableString+1
Solve→
Majority Element
25%
EasyE
25%
ArrayHash Table+3
Solve→
Adding Spaces to a String
23%
MediumM
23%
ArrayTwo Pointers+2
Solve→
Maximum Beauty of an Array After Applying Operation
22%
MediumM
22%
ArrayBinary Search+2
Solve→
Basic Calculator
20%
HardH
20%
MathString+2
Solve→

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Frequently Asked Questions

What LeetCode problems does Urban ask in interviews?

Urban commonly asks 30 coding problems in technical interviews, including Remove All Adjacent Duplicates In String, Interval List Intersections, Two Sum. The difficulty breakdown is 12 Easy, 14 Medium, and 4 Hard problems.

How should I prepare for a Urban coding interview?

Focus on the most frequently asked problems first, especially those with high frequency scores. Urban interviews typically emphasize Array and Hash Table. Practice explaining your thought process while coding.

What is the difficulty level of Urban coding interviews?

Based on our data, Urban interviews include 12 Easy (40%), 14 Medium (47%), and 4 Hard (13%) problems.

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