Maths: Permutations, Combinations, Medians, Probability, Geometry, … Applications and pros & cons of those.Īlgorithms: Time complexity, Space complexity, Sorting, Searching, BFS & DFS, Dynamic programming, Recursion, Divide and Conquer, and Bit manipulations. important topics to learn in this stage include the following:ĭata structures: Array, Linked List, Stack, Queue, Hash Table, BST, Map (Hash vs. You should be able to write 20-30 codes without errors after practising about 100 problems. Whether interviewing for startups or established FAANG or MAANG organizations, every company will expect you to have strong knowledge of basic data structures concepts, including String, Array, Linked List, Binary Tree, hash table, Stack, Queue, and advanced data structures such as binary heap, self-balanced Tree, circular buffer, etc.įirst, start with revisiting the basics of DSA and focus on solving several problems. This is why interviews in these companies are mainly focused on algorithms, as they want people who can think out of the box to design algorithms that can save the company thousands of dollars. Most of the time goes into designing things with the best and optimum algorithms to save on the company’s resources (servers, computation power, etc.). In product development, companies of the ilk of Google, Microsoft, Facebook, and Amazon allot 20-30% on the coding, which is the implementation aspect of the total project. Just like a car mechanic needs the right tool to fix a car and make it run properly, a programmer needs the right tools (DSAs) to make the software run properly. Knowledge of DSA goes a long way in solving these problems efficiently, and the interviewers are more interested in seeing how candidates use these tools to solve a problem. They are looking to hire software developers who can make the right decisions and efficiently complete the requisite tasks in a short amount of time and using fewer resources. Companies encounter a lot of complex and unstructured data on a larger scale. At the same time, interviewers often use DSA questions to evaluate candidates during the interview to test potential employees’ problem-solving skills, coding skills, and clarity of thought.ĭata structures and algorithms play a major role in implementing software and the hiring process. A strong understanding of data structures and algorithms helps programmers evolve and advance their careers. Many beginners and experienced programmers avoid learning Data Structures and Algorithms because they think they are complicated and not useful in real life. Data structure Interview Questions on Search and Sort AlgorithmsĪre you wondering why you need to study complicated stuff such as Array, Linked List, Stack, Queues, Searching, Sorting, Tree, Graphs etc.? And why do companies ask questions related to DSA instead of language/frameworks/tools-specific questions?.Data structure Interview Questions on Binary Tree.Data structure Interview Questions on Linked Lists.Data structure Interview Questions on Arrays. ![]() Data structure Interview Questions on Strings.Advanced-Data Structure Interview Questions.Basic Data Structure Interview Questions. ![]() Upgrade your coding skills with our FREE Data Structure and Algorithm class."
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