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Language-Specific Prep

C++ Coding Interview Questions (2026)

C++ is the language of choice for competitive programmers and is widely accepted at FAANG companies. Its Standard Template Library (STL) provides ready-made data structures and algorithms that map directly to interview problems. C++ is especially strong for problems requiring manual memory management, pointer manipulation, or performance-critical code.

321 problems with C++ solutions
45 Easy 256 Medium 20 Hard

Why C++ for Coding Interviews

Strengths

  • ✓STL provides ready-made data structures: vector, map, set, unordered_map, priority_queue, deque, stack, queue
  • ✓The most efficient language for runtime performance
  • ✓Strong typing catches many bugs at compile time
  • ✓Manual memory control for advanced data structure problems
  • ✓Accepted everywhere — no company rejects C++
  • ✓Competitive programming standard — fastest for timed contests

Watch Out For

  • ⚠Verbose syntax — more boilerplate than Python
  • ⚠Manual memory management pitfalls (dangling pointers, memory leaks)
  • ⚠Complex template syntax can confuse under pressure
  • ⚠No built-in arbitrary-precision integers
  • ⚠Pointer arithmetic errors are hard to debug in interviews
  • ⚠Longer compilation times for template-heavy code

Must-Know C++ STL for Interviews

std::vector — dynamic array (push_back, pop_back, size, [])

std::unordered_map / std::unordered_set — O(1) average lookup

std::map / std::set — O(log n) sorted order

std::priority_queue — max-heap by default (use std::greater for min-heap)

std::deque — O(1) push/pop from both ends

std::sort with custom comparators

std::pair and std::tuple for grouping values

std::accumulate for summing ranges

std::memset, std::fill for array initialization

Range-based for loops: for (auto& x : vec)

C++ Interview Tips

Use unordered_map for O(1) lookup

std::unordered_map<int, int> freq; gives O(1) average insert/lookup. Use freq[x]++ for counting, freq.count(x) to check existence. For sorted iteration, use std::map instead (O(log n) per operation).

Min-heap with std::priority_queue

Default priority_queue is a max-heap. For min-heap: std::priority_queue<int, vector<int>, greater<int>> pq; For pairs: priority_queue<pair<int,int>, vector<pair<int,int>>, greater<pair<int,int>>> pq; The min element is always on top.

Use emplace_back over push_back

vec.emplace_back(args...) constructs the element in-place, avoiding a copy. For pairs: v.emplace_back(i, j) instead of v.push_back(make_pair(i, j)). Slightly faster and cleaner.

Lambdas for custom sorting

std::sort(v.begin(), v.end(), [](const auto& a, const auto& b) { return a.first > b.first; }); Lambdas are cleaner than writing a separate comparator function. Capture variables with [&] for by-reference.

Use auto to reduce type verbosity

auto x = 42; auto& ref = vec[0]; auto [key, val] = *map.begin(); Structured bindings (C++17) let you unpack pairs/tuples directly. This makes code cleaner under time pressure.

C++ Coding Interview Problems by Pattern

⇄

Two Pointers

(51)
Two Sum II - Input Array Is Sorted Medium C++ →
3Sum Medium C++ →
Container With Most Water Medium C++ →
Trapping Rain Water Hard C++ →
Valid Palindrome Easy C++ →
Move Zeroes Easy C++ →
Remove Duplicates from Sorted Array Easy C++ →
4Sum Medium C++ →
Sort Colors Medium C++ →
Squares of a Sorted Array Easy C++ →
Boats to Save People Medium C++ →
Valid Palindrome II Easy C++ →
Minimum Length of String After Deleting Similar Ends Medium C++ →
Encode and Decode Strings Medium C++ →
Best Time to Buy and Sell the Stocks - 2 Medium C++ →
3Sum Closest Medium C++ →
Intersection of two Arrays Medium C++ →
Maximum Sum Rectangle Medium C++ →
Rotate Array Medium C++ →
Majority Element Easy C++ →
Majority Element II Easy C++ →
Next Greater Element III Medium C++ →
Merge Sort Medium C++ →
Count Inversions Medium C++ →
First Missing Positive Medium C++ →
Repeat and Missing Number Array Medium C++ →
Minimum Platforms Medium C++ →
Max sum path in two arrays Medium C++ →
Pairs of Songs With Total Durations Divisible by 60 Medium C++ →
Rectangle Overlap Medium C++ →
Find the Duplicate Number Medium C++ →
Segregate Even and Odd numbers Medium C++ →
Subarray with 0 sum exist Medium C++ →
Count Numbers with Unique Digits Medium C++ →
Distribute Candies Medium C++ →
Transpose Matrix Medium C++ →
Pascals Triangle Medium C++ →
Insert Delete GetRandom in O Medium C++ →
Sign of the Product of an Array Medium C++ →
Find N Unique Integers Sum up to Zero Medium C++ →
Shuffle an Array Medium C++ →
Count Primes Medium C++ →
Power of Three Medium C++ →
Hamming Distance Medium C++ →
Excel Sheet Column Number Medium C++ →
Excel Sheet Column Title Medium C++ →
Happy Number Medium C++ →
Assign Cookies Medium C++ →
Reverse words in a given string Medium C++ →
Reverse Words in a String Medium C++ →
Minimum Number of Moves to Make Palindrome Medium C++ →
⌖

Binary Search

(34)
Binary Search Easy C++ →
Search in Rotated Sorted Array Medium C++ →
Find Minimum in Rotated Sorted Array Medium C++ →
Koko Eating Bananas Medium C++ →
Find Peak Element Medium C++ →
Time Based Key-Value Store Medium C++ →
Search a 2D Matrix Medium C++ →
Capacity to Ship Packages Within D Days Medium C++ →
Split Array Largest Sum Hard C++ →
Median of Two Sorted Arrays Hard C++ →
Magic Index Medium C++ →
Merge sorted arrays Medium C++ →
Common Elements from 3 Sorted Arrays Medium C++ →
Next Greatest Element in Sorted Array Medium C++ →
Next Smallest Element in Sorted Array Medium C++ →
Binary Search on Sorted Array Medium C++ →
Find the First and Last Occurrence of the Element in the Sorted Array Medium C++ →
Count the number of occurrences of the element in a sorted array. Medium C++ →
Search in Rotated Sorted Array II Medium C++ →
Search in a Nearly Sorted Array Medium C++ →
Single Element in a Sorted Array Medium C++ →
Find Floor of an Element in a Sorted Array Medium C++ →
Find Ciel of an Element in a Sorted Array Medium C++ →
Next Alphabetical Element in Sorted Array of Characters Medium C++ →
Find the position of an element in an infinite sorted array. Medium C++ →
Index of the first 1 in a Infinite Binary Sorted Array Medium C++ →
Minimum Difference Element in a Sorted Array Medium C++ →
Find Maximum element in Bitonic Array Medium C++ →
Search an Element in Bitonic Array Medium C++ →
Search Insert Position Medium C++ →
Pow(x, n) Medium C++ →
Smallest Missing Number in sorted array Medium C++ →
First Bad Version Medium C++ →
Row with Maximum number of 1's Medium C++ →

Frequently Asked Questions

Is C++ good for coding interviews?
Yes — C++ is one of the best languages for coding interviews, especially if you know the STL well. It is accepted at every company and is the standard for competitive programming. The STL provides ready-made data structures (vector, map, set, priority_queue) that map directly to interview problems. The main trade-off is verbosity compared to Python.
What STL containers should I know for coding interviews?
The essential STL containers for interviews: vector (dynamic array), unordered_map/unordered_set (O(1) hash lookup), map/set (O(log n) sorted), priority_queue (heap), deque (double-ended queue), stack, and queue. Master these 8 containers and you can solve any interview problem in C++.
How do I create a min-heap in C++?
Use std::priority_queue with std::greater: std::priority_queue<int, std::vector<int>, std::greater<int>> minHeap; The top() element is the minimum. For pairs: std::priority_queue<std::pair<int,int>, std::vector<std::pair<int,int>>, std::greater<std::pair<int,int>>> pq;
Should I use C++ or Python for coding interviews?
Use C++ if you are targeting competitive programming, game development, systems engineering, or HFT firms. Use Python for general software engineering interviews at FAANG. C++ is faster at runtime but the extra verbosity costs time. Most interviewers care about algorithmic correctness, not language performance.

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