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I applied via LinkedIn
posted on 5 Sep 2024
Exception handling is a mechanism to handle runtime errors in a program.
Exception handling helps in gracefully handling unexpected errors in a program.
It prevents the program from crashing and allows for proper error logging and recovery.
Commonly used keywords in exception handling are try, catch, finally, and throw.
Example: try { // code that may throw an exception } catch(Exception ex) { // handle the exception }
Abstract classes can have implementation details while interfaces cannot.
Abstract classes can have both abstract and non-abstract methods, while interfaces can only have abstract methods.
A class can only inherit from one abstract class, but can implement multiple interfaces.
Abstract classes can have constructors, fields, and properties, while interfaces cannot.
Abstract classes are used when some common functionality ne...
I will handle the team by setting clear expectations, delegating tasks effectively, monitoring progress, and providing support as needed.
Set clear goals and deadlines for the team to ensure everyone is on the same page
Delegate tasks based on team members' strengths and workload
Regularly check in with team members to monitor progress and offer assistance if needed
Adjust deadlines or redistribute tasks as necessary to me...
Basic questions and dot net basic questions
Good to have , useful very easy
Design and code a REST API for a software developer interview.
Define the endpoints and HTTP methods for the API (e.g. GET /users, POST /users)
Implement authentication and authorization mechanisms (e.g. JWT tokens)
Use proper status codes for responses (e.g. 200 OK, 401 Unauthorized)
Include error handling and validation for input data
Document the API using tools like Swagger or OpenAPI
Calculate word frequency using Stream API and lambda expressions
Use Stream API to convert array of strings to stream
Use Collectors.groupingBy to group words by their frequency
Use Collectors.counting to count the occurrences of each word
I applied via Naukri.com and was interviewed in Aug 2024. There was 1 interview round.
Consumers read data from topics, while producers write data to topics in Kafka.
Consumers subscribe to topics to read messages from them
Producers publish messages to topics for consumers to read
Consumers can be part of a consumer group to scale out consumption
Producers can specify key for messages to control partitioning
I applied via Approached by Company and was interviewed in Jul 2024. There were 5 interview rounds.
Asked some basic level questions
Asked little bit hard questions
Asked depth questions and wrote some sample programs
Hackerrank coding round.
Interview experience
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