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I applied via Naukri.com and was interviewed before Sep 2023. There were 2 interview rounds.
Polymorphism in OOPS refers to the ability of a single function or method to operate on different types of data.
Polymorphism allows objects of different classes to be treated as objects of a common superclass.
There are two types of polymorphism: compile-time (method overloading) and runtime (method overriding).
Example: Inheritance allows a child class to override a method of its parent class, providing different implem
SQL performance can be optimized by using indexes, optimizing queries, minimizing network round trips, and using proper data types.
Use indexes on columns frequently used in WHERE clauses to speed up data retrieval.
Optimize queries by avoiding unnecessary joins, using WHERE clauses effectively, and limiting the number of rows returned.
Minimize network round trips by batching multiple queries into a single request.
Use pr...
My salary expectation as a Senior Software Engineer is based on industry standards, my experience, and the responsibilities of the role.
Research industry standards for Senior Software Engineer salaries
Consider my years of experience and expertise in software development
Factor in the specific responsibilities and requirements of the role
Negotiate based on the company's budget and benefits package
Be open to discussing sa
I will investigate the root cause, analyze logs, and work on fixing the issue to prevent future crashes.
Investigate the crash logs to identify the root cause
Analyze the code to understand the issue
Implement a fix for the crash
Test the fix thoroughly before deploying it
Implement monitoring and alerting to catch similar issues in the future
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I applied via Approached by Company and was interviewed in Aug 2017. There were 5 interview rounds.
posted on 13 Oct 2024
posted on 28 Dec 2022
I applied via Recruitment Consulltant and was interviewed before Dec 2021. There were 2 interview rounds.
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
posted on 18 Mar 2024
posted on 11 Oct 2024
I applied via LinkedIn and was interviewed before Oct 2023. There was 1 interview round.
I applied via Company Website and was interviewed in Jan 2023. There were 5 interview rounds.
I applied via LinkedIn and was interviewed before Jan 2022. There were 4 interview rounds.
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...
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 ...
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
I applied via Naukri.com and was interviewed in Nov 2021. There were 4 interview rounds.
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