Kavin Engineering And Services Offshore Structural Engineer Interview Questions and Answers

I am an excellent problem solver with a keen interest in algorithm design and optimization.

• I enjoy breaking down complex problems into smaller, more manageable components.

• I have experience in developing efficient algorithms for data processing and analysis.

• I am always looking for ways to optimize code and improve performance.

• I am interested in exploring new technologies and frameworks to solve problems in innovative wa

I have knowledge in various programming languages, frameworks, and technologies.

• Proficient in Java, Python, and C++

• Experience with web development using HTML, CSS, and JavaScript

• Familiarity with databases such as MySQL and MongoDB

• Knowledge of software development methodologies like Agile and Scrum

• Understanding of design patterns and object-oriented programming principles

Microservices are modular and scalable, while monolithic is simpler but less flexible.

• Microservices allow for independent deployment and scaling of individual components

• Monolithic architecture is easier to develop and test, but can become unwieldy as the application grows

• Microservices can be more fault-tolerant and resilient to failures

• Monolithic architecture can be more efficient for small applications with limited fu...read more

Microservices are small, independent services that communicate with each other, while monolithic is a single, self-contained application.

• Microservices are loosely coupled and can be developed and deployed independently.

• Monolithic applications are tightly coupled and require a full deployment for any changes.

• Microservices allow for better scalability and fault tolerance.

• Monolithic applications can be simpler to develop ...read more

Zero one knapsack problem is a classic optimization problem in computer science.

• It involves selecting a subset of items with maximum value, subject to a weight constraint.

• It is a NP-hard problem and can be solved using dynamic programming.

• Examples include packing a backpack with limited weight capacity or selecting stocks for a portfolio with limited investment budget.

Indexing a dictionary for faster search

• Use hash tables for constant time lookup

• Consider using a trie for prefix search

• Sort the keys for binary search

• Use a balanced tree for range queries