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I applied via Recruitment Consultant and was interviewed in Dec 2020. There were 4 interview rounds.
I applied via Approached by Company and was interviewed in Aug 2017. There were 5 interview rounds.
I applied via Naukri.com and was interviewed in Apr 2021. There were 3 interview rounds.
I applied via Monster and was interviewed before Mar 2020. There were 3 interview rounds.
posted on 18 Mar 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
Reverse a linked list using recursion
Create a recursive function that takes the head of the linked list as input
Base case: if the head is null or the next node is null, return the head
Recursively call the function with the next node as input
Set the next node's next pointer to the current node
Set the current node's next pointer to null
Return the new head of the reversed linked list
To find max number in linked list using stack.
Create an empty stack.
Traverse the linked list and push each element onto the stack.
Pop elements from the stack and compare with max value.
Return the max value.
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 Company Website and was interviewed in Jan 2023. There were 5 interview rounds.
based on 1 review
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