Highest and Lowest Frequency Element in C++

Highest and Lowest Frequency Element in C++ is a quintessential data structure problem frequently encountered in coding assessments and technical interviews at top technology companies like Amazon, Goldman Sachs, Microsoft, and Google. Given an array of N integers, the goal is to determine which element appears with the Highest Frequency (Mode) and which element appears …

Armstrong Number in C++

Armstrong Number in C++ (also known as a Narcissistic Number or Pluperfect Digital Invariant) is a classic number theory and digit-manipulation problem tested in technical interviews and programming assessments at companies like Amazon, TCS, Microsoft, and Infosys. An Armstrong Number of K digits is defined as a non-negative integer that equals the sum of its …

Print All Divisors of a Number in C++

Print All Divisors of a Number in C++ is a foundational number theory and mathematical algorithmic problem frequently asked in technical interviews and online assessments at companies such as Amazon, Goldman Sachs, Microsoft, and Google. Given a positive integer N, the objective is to find and print all integers d that divide N completely (such …

Reverse Number in C++: Iterative, Recursive, and Overflow-Safe Algorithms

Reverse Number in C++ (also known as LeetCode 7: Reverse Integer) is a classic coding interview problem frequently asked by top tech employers including Google, Amazon, Apple, Microsoft, and Meta. Given a signed 32-bit integer N, the challenge is to return N with its digits reversed. If reversing N causes the value to exceed the …

Count Digits in C++: From Iterative Division to O(1) Logarithmic Formula

Count Digits in C++ is one of the most essential foundational algorithmic problems asked in technical interviews at top engineering companies like Google, Amazon, Microsoft, and Meta. Given an integer N, the objective is to determine the total count of decimal digits representing its magnitude. While counting digits sounds straightforward, interviewers use this question to …

Google DSA Sheet: Must Solve Coding Interview Problems with Solutions

The Google DSA Sheet is a structured, production grade roadmap designed to take software engineers from fundamental data structures to the advanced algorithmic patterns tested in Google technical interviews. Google coding interviews assess analytical rigor, clean modular design, spatial and temporal trade-offs, and how you articulate invariant proofs while navigating ambiguity under time constraints. In …

Inline in C++: Meaning, Syntax, Functions, Variables, and Best Practices

Inline in C++ is a keyword and linkage feature that lets you define small functions (and variables since C++17) in headers without violating the One Definition Rule, while giving the compiler freedom to inline calls for performance. It does not force inlining; the optimizer ultimately decides whether to inline a call. This beginner-friendly guide explains …

Storage Class in C++: static, extern, thread_local and more

The phrase storage class in C++ refers to how and where an object is stored, its lifetime, and its visibility (linkage). In practice you control this with keywords like static, extern, and thread_local, plus your choice of scope and allocation style. This beginner-friendly guide breaks down every storage class in C++ you’ll actually use, with …

Move in C++: std::move, Move Semantics, and Efficient Resource Transfers

move in C++ refers to move semantics and the std::move utility that let you transfer resources from one object to another instead of copying, enabling big performance wins for large or non-copyable objects. std::move doesn’t move by itself—it casts to an rvalue so a move constructor or move assignment can run. This beginner-friendly guide explains …