Your Guide to Crack Product-Based Company Interview with DSA Skills

Many dreams of working as software developers in big product-based companies like Microsoft, Amazon, Apple, Netflix, and Google. In order to do so, they prepare with the best efforts to make themselves stand out from the crowd in the interviews. One of the prominent factors in working in product-based companies is the high salary packages and a good work environment. Tech companies carry out detailed technical and personal assessments before hiring any candidate. Today the technical assessment of any product-based company interviews is more focused on the candidates' Data Structure and Algorithm (DSA) skills.

What are Data Structure and Algorithms?

Storage and extraction of data are important aspects of computer technology, and this is where data structures and algorithms play a significant role. Data structures and Algorithms are basic building blocks of web development that can be incorporated into any programming language. 

The data structure is where the data is stored with allocated memory space, and algorithms take input in a series of steps and provide output data that solves the user input. There might be many new programming languages in computer science, but DSA remains timeless as it is independent of programming languages.

Why is learning DSA important in a Product-Based company?

You might wonder why software product-based companies give so much importance to  Data structures and algorithms; the standard hallmark set for a software developer is core knowledge and mastery of Data structures and algorithms. DSA helps software developers to write high-quality codes and run them efficiently. 

Let’s learn about the role of Data Structure and algorithms in cracking Product-based Company interviews.

DSA is the foundation of software development, so testing candidates’ knowledge of DSA makes the screening process easier.

DSA skills of a candidate evaluate their problem-solving skills in real-time. It is based on multiple and quality solutions provided for the pertaining problem by the candidate.

DSA improves the understanding of the nature of the problem in-depth, and the approach towards solving a problem is widened.

The difficulty level of DSA tests can be set by companies to filter average and low-level candidates in interviews.

Learning Data Structure and Algorithms

If you are beginning to learn DSA, then you must start with basic data structures such as Arrays, linked lists, queues, etc, and basic algorithms sorting, searching, etc. If you are a full-stack software developer, then you must learn advanced-level DSA concepts such as Hash, Trees application, Graphs, RP, and Recursion. To improve your problem-solving and analytical skills in Data structures, solve easier problems that boost your confidence before moving to complex problems.

Where to learn DSA? 

From this blog, we know why learning DSA is important; you might find it challenging to learn Data Structure and algorithms as it has numerous things to learn. A lack of proper guidance will hinder your learning process. To become a full-fledged software developer, you must thoroughly understand DSA concepts and full-stack software development. Enrol in the DSA and System Design course and Full stack software development program, which increases your chance of cracking product-based company interviews.