C++ Interview Questions in Hyderabad

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new allocates memory and calls the constructor, returns a typed pointer and throws std::bad_alloc on failure. malloc only allocates raw bytes, returns void* and gives a null pointer on failure without calling any constructor. delete runs the destructor and then frees memory, while free does not run destructors. Never mix them, and always pair new[] with delete[].

Should a Car class inherit from Engine or contain an Engine? Explain your choice.

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A car is not an engine, it has an engine, so composition is correct: class Car holds an Engine member or a unique_ptr<Engine>. Inheritance models an is-a relationship and exposes the base interface, which would let callers treat a Car as an Engine. Composition also allows swapping engine types at run time through an interface such as PetrolEngine or ElectricMotor and keeps coupling low.

Overload operator+ and operator<< for a Complex number class.

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#include <ostream> class Complex { double re_, im_; public: Complex(double re = 0, double im = 0) : re_(re), im_(im) {} Complex operator+(const Complex& o) const { return Complex(re_ + o.re_, im_ + o.im_); } friend std::ostream& operator<<(std::ostream& os, const Complex& c) { return os << c.re_ << (c.im_ < 0 ? '-' : '+') << (c.im_ < 0 ? -c.im_ : c.im_) << 'i'; } }; // operator<< is a friend non-member so the stream stays on the left side.

Compute the sum of a large vector in parallel using std::async.

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#include <future> #include <numeric> #include <vector> long long parallelSum(const std::vector<int>& v, int parts = 4) { std::vector<std::future<long long>> futs; std::size_t chunk = v.size() / parts; for (int i = 0; i < parts; ++i) { auto b = v.begin() + i * chunk; auto e = (i == parts - 1) ? v.end() : b + chunk; futs.push_back(std::async(std::launch::async, [b, e] { return std::accumulate(b, e, 0LL); })); } long long total = 0; for (auto& f : futs) total += f.get(); return total; } // C++17 alternative: std::reduce(std::execution::par, v.begin(), v.end(), 0LL)

What is SFINAE?

Templates and Generic ProgrammingHard

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Substitution Failure Is Not An Error: when the compiler substitutes template arguments and the resulting declaration is invalid, that candidate is silently removed from overload resolution instead of causing an error. It was traditionally used with std::enable_if to enable functions only for certain types, such as integral types. In C++20, concepts and requires clauses replace most SFINAE tricks with clearer syntax and error messages.

What are lvalues and rvalues?

C++ Basics and SyntaxMedium

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An lvalue has identity and a persistent address, such as a named variable x. An rvalue is a temporary without lasting identity, such as 5 or the result of a + b. C++11 splits these further into lvalue, xvalue and prvalue. The distinction matters because rvalue references, written T&&, bind to temporaries and enable move semantics, letting the program steal resources instead of making expensive copies.

How does std::vector grow, and what is the difference between size, capacity and reserve?

Standard Template Library (STL)Medium

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size is the number of stored elements; capacity is how many fit before reallocation. When push_back exceeds capacity, vector allocates a larger buffer, typically 1.5 or 2 times larger, moves or copies elements and frees the old one, giving amortised O(1) appends. reserve(n) pre-allocates capacity to avoid repeated reallocations when the final size is known; shrink_to_fit requests releasing unused capacity.

Use a C++20 ranges pipeline to get squares of the first three even numbers.

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#include <iostream> #include <ranges> #include <vector> int main() { std::vector<int> v = {1, 2, 3, 4, 5, 6, 7, 8}; auto result = v | std::views::filter([](int x) { return x % 2 == 0; }) | std::views::transform([](int x) { return x * x; }) | std::views::take(3); for (int x : result) std::cout << x << ' '; // 4 16 36 } // Views are lazy: elements are processed only while iterating.

Is it expensive to return a large std::vector from a function by value?

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Usually no. Return value optimisation constructs the result directly in the caller's storage, and since C++17 this copy elision is guaranteed when returning a prvalue. For a named local, compilers apply named RVO, and if they cannot, the vector is moved, which only copies three pointers. So return by value is clean and fast. Do not write return std::move(local); because it can block elision.

Remove duplicates from a vector of integers.

Standard Template Library (STL)Easy

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#include <algorithm> #include <vector> void dedupSorted(std::vector<int>& v) { std::sort(v.begin(), v.end()); v.erase(std::unique(v.begin(), v.end()), v.end()); } // O(n log n). std::unique only removes adjacent duplicates, so sort first. // To keep the original order, track seen values in an unordered_set instead.

What is the difference between full and partial template specialization?

Templates and Generic ProgrammingMedium

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Full specialization provides a separate implementation for one exact set of template arguments, such as template <> class Hash<std::string>. Partial specialization, allowed only for class and variable templates, covers a family of arguments, such as template <typename T> class Hash<T*> for all pointer types. Function templates cannot be partially specialised; overloading is used instead.

What are structured bindings and how do they work with range-based for loops?

Modern C++ (C++11 to C++23)Easy

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Structured bindings, from C++17, unpack a pair, tuple, array or simple struct into named variables: auto [id, name] = getUser();. In loops they make map iteration readable: for (const auto& [key, value] : m). The variables are aliases into a hidden object, so const auto& avoids copies. They pair well with if statements with initialisers, such as if (auto [it, ok] = s.insert(x); ok).

Design a producer-consumer pipeline where one thread reads log lines and several workers parse them.

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I would use a bounded thread-safe queue built with a mutex and two condition variables, one for not empty and one for not full, so a fast reader cannot exhaust memory. The reader pushes lines and workers pop and parse them. For shutdown, the reader pushes a sentinel per worker or sets a closed flag and notifies all. Batching lines per push reduces locking overhead, and results go to a second queue.

What does the C++20 ranges library add?

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Ranges let algorithms take whole containers, as in std::ranges::sort(v), instead of begin and end pairs. Views such as filter, transform, take and reverse are lazy and compose with the pipe operator, for example v | std::views::filter(isEven) | std::views::transform(square). Nothing is computed until you iterate. Ranges also use concepts, so errors are clearer, and projections let you sort by a member easily.

How do you handle a tight deadline when the C++ code you need to change is complex?

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Situation: a client needed a protocol change in two days in code I had not touched. Task: deliver safely. Action: I read the tests first, wrote two new tests for the required behaviour, made the smallest change that passed them, and flagged a risky area to my lead early instead of at the end. I logged a refactoring ticket for later. Result: we shipped on time with no regressions and cleaned up the module the next sprint.

When do you need the typename keyword inside a template?

Templates and Generic ProgrammingMedium

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Inside a template, a name that depends on a template parameter, such as T::value_type, could be a type or a static member, so the compiler assumes it is a value. You must write typename T::value_type x; to say it is a type. Similarly, a dependent member template needs the template keyword, as in obj.template get<0>(). C++20 relaxes this in some contexts, but the rule still matters.

Explain the rule of three, rule of five and rule of zero.

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Rule of three: if a class needs a custom destructor, copy constructor or copy assignment, it usually needs all three because it manages a resource. Rule of five adds the move constructor and move assignment from C++11. Rule of zero says the best design avoids writing any of them by holding resources in members such as std::vector, std::string and unique_ptr, which already manage themselves.

How do virtual functions work internally?

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Most compilers give each polymorphic class a vtable, a static table of function pointers for its virtual functions. Every object stores a hidden vptr pointing to its class's vtable. A call through a base pointer loads the vptr, looks up the slot and jumps to the right override. The cost is one pointer per object, an indirect call and usually no inlining, which matters only in very hot loops.

Explain unique_ptr, shared_ptr and weak_ptr.

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unique_ptr has sole ownership, cannot be copied, can only be moved, and costs almost nothing over a raw pointer. shared_ptr keeps a reference count in a control block and destroys the object when the last owner disappears. weak_ptr observes an object owned by shared_ptr without increasing the count; call lock() to get a shared_ptr if it still exists. weak_ptr breaks cycles and suits caches.

Write a C++ program that counts how often each word appears in the input.

C++ Basics and SyntaxMedium

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#include <iostream> #include <map> #include <string> int main() { std::map<std::string, int> freq; std::string word; while (std::cin >> word) { ++freq[word]; } for (const auto& [w, c] : freq) { std::cout << w << ' ' << c << '\n'; } } // Use std::unordered_map for O(1) average lookups if sorted output is not needed.

What are type traits and how does if constexpr use them?

Templates and Generic ProgrammingMedium

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Type traits in <type_traits> answer questions about types at compile time, such as std::is_integral_v<T>, std::is_pointer_v<T> or std::is_same_v<T, U>, and transform types, such as std::remove_reference_t. if constexpr picks a branch at compile time and discards the other, so code like if constexpr (std::is_integral_v<T>) can call integer-only operations safely inside a generic function.

What is the difference between const int, int const and const int* const?

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Read the declaration from right to left. const int* p is a pointer to a const int: you cannot modify the value through p, but p can point elsewhere. int* const p is a const pointer to int: the address is fixed but the value can change. const int* const p fixes both the address and the value. These forms are frequent interview traps and appear in function signatures.

Compare std::mutex, lock_guard, unique_lock and scoped_lock.

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std::mutex provides lock and unlock, but calling them manually is error-prone. lock_guard is a simple RAII wrapper that locks in the constructor and unlocks in the destructor. unique_lock is more flexible: it can defer locking, unlock early, be moved and is required by condition_variable. scoped_lock, from C++17, locks one or more mutexes at once using a deadlock-avoidance algorithm.

Write a GoogleTest unit test for a function, including an edge case.

Performance, Debugging and Build ToolsMedium

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#include <gtest/gtest.h> #include <stdexcept> #include <vector> double average(const std::vector<int>& v) { if (v.empty()) throw std::invalid_argument("empty"); long long s = 0; for (int x : v) s += x; return static_cast<double>(s) / v.size(); } TEST(AverageTest, ComputesMean) { EXPECT_DOUBLE_EQ(average({2, 4, 6}), 4.0); } TEST(AverageTest, ThrowsOnEmpty) { EXPECT_THROW(average({}), std::invalid_argument); }

Why should you prefer make_unique and make_shared over calling new directly?

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They avoid writing raw new, so no allocated object can leak if another expression in the same call throws. make_shared also allocates the object and the control block together in one allocation, which is faster and more cache friendly. One trade-off: with make_shared the memory block stays allocated until every weak_ptr is gone, which matters for very large objects.

What does C++20 std::jthread add over std::thread?

Performance, Debugging and Build ToolsHard

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std::jthread joins automatically in its destructor, so forgetting join no longer calls std::terminate. It also supports cooperative cancellation: the thread function can take a std::stop_token, check stop_requested() in its loop, and the owner calls request_stop(), which the destructor also does before joining. std::stop_callback lets you register cleanup actions. This makes long-running worker threads safer to write.

Use perf to find the hotspots in a C++ program.

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# Build optimised but with symbols and frame pointers g++ -O2 -g -fno-omit-frame-pointer app.cpp -o app perf stat ./app # cycles, instructions, cache misses perf record -g ./app # sample with call graphs perf report # browse hottest functions # Flame graph (with FlameGraph scripts on PATH) perf script | stackcollapse-perf.pl | flamegraph.pl > flame.svg perf stat -e cache-misses,branch-misses ./app # specific counters

Describe a time you improved code quality by changing how memory was managed.

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Situation: our module used raw new and delete everywhere and QA reported frequent leaks. Task: make it safe without a full rewrite. Action: I proposed a step-by-step migration to unique_ptr and std::vector, wrote a one-page ownership guideline and enabled LeakSanitizer in CI so new leaks failed the build. Result: leak reports dropped to zero within two sprints and reviews became faster because ownership was obvious.

What is std::string_view and what are its pitfalls?

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string_view is a non-owning pointer and length pair that refers to existing characters, so passing it avoids copies and accepts both std::string and literals. The main pitfall is lifetime: it must not outlive the data it views, so returning a string_view to a local string or a temporary dangles. It is also not guaranteed to be null-terminated, so do not pass data() to C functions expecting C strings.

Why use nullptr instead of NULL or 0?

Modern C++ (C++11 to C++23)Easy

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NULL is usually defined as 0 or 0L, an integer, so overloaded functions such as f(int) and f(char*) pick the int version for f(NULL), which surprises readers. nullptr has its own type, std::nullptr_t, that converts only to pointer types, so f(nullptr) calls the pointer overload. It also works correctly in templates where the type is deduced. Modern code should always use nullptr.

Your program crashes with the message double free or corruption. What could cause it?

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The same block was freed twice or heap metadata was overwritten. Typical causes are a class with a raw owning pointer and the default copy constructor, deleting the same pointer in two places, mixing delete and delete[], or a buffer overflow writing past an allocation. AddressSanitizer shows the first invalid free and where the memory was allocated. The lasting fix is clear ownership with smart pointers or containers.

Write a move constructor and move assignment operator for a class that owns a buffer.

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#include <utility> class Buffer { std::size_t size_ = 0; int* data_ = nullptr; public: explicit Buffer(std::size_t n) : size_(n), data_(new int[n]{}) {} ~Buffer() { delete[] data_; } Buffer(Buffer&& other) noexcept : size_(std::exchange(other.size_, 0)), data_(std::exchange(other.data_, nullptr)) {} Buffer& operator=(Buffer&& other) noexcept { if (this != &other) { delete[] data_; size_ = std::exchange(other.size_, 0); data_ = std::exchange(other.data_, nullptr); } return *this; } };

Your application is slow and you are asked to optimise it. Where do you start?

Performance, Debugging and Build ToolsMedium

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I start by measuring, not guessing. I define a target, such as p99 under 50 ms, create a repeatable benchmark, and profile with perf to find where time actually goes. Then I fix the biggest hotspot first, usually algorithmic complexity, unnecessary copies, allocations or I/O, and re-measure after each change. I keep correctness tests running and stop when the target is met.

What are the four pillars of object-oriented programming in C++?

Object-Oriented Programming in C++Easy

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Encapsulation hides data behind a class interface using private members and public methods. Abstraction exposes only what users need, often through abstract base classes. Inheritance lets a derived class reuse and extend a base class. Polymorphism lets one interface behave differently: compile-time through overloading and templates, run-time through virtual functions. Together they help model systems such as bank accounts, shapes or payment methods cleanly.

Using a custom struct as the key of an unordered_map gives a compile error. Why, and how do you fix it?

Standard Template Library (STL)Medium

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unordered_map needs a hash function and equality comparison for the key type, and std::hash is not defined for user structs. Fix it by defining operator== (or defaulting it in C++20) and providing a hash functor that combines member hashes, passed as the third template argument, or by specialising std::hash for the type. std::map instead needs operator< or a comparator.

Companies with offices in Hyderabad (10)

Microsoft

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30 questions
5 rounds

Hyderabad, Bengaluru, Noida +2

Google

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30 questions
5 rounds

Bengaluru, Hyderabad, Gurugram +2

Amazon

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5 rounds

Bengaluru, Hyderabad, Chennai +2

Oracle

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5 rounds

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Qualcomm

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30 questions
5 rounds

Hyderabad, Bengaluru, Chennai

NVIDIA

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30 questions
5 rounds

Pune, Bengaluru, Hyderabad

Intel

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30 questions
5 rounds

Bengaluru, Hyderabad

AMD

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30 questions
4 rounds

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Fintech

DE Shaw

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30 questions
5 rounds

Hyderabad, Bengaluru, Gurugram

Banking & finance

Goldman Sachs

C++ interview questions

30 questions
5 rounds

Bengaluru, Hyderabad, Mumbai