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I applied via Naukri.com and was interviewed before Jan 2024. There was 1 interview round.
I applied via Naukri.com and was interviewed before Jan 2024. There was 1 interview round.
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Transactions in Spring Boot help manage database operations as a single unit of work.
Transactions ensure ACID properties (Atomicity, Consistency, Isolation, Durability) for database operations.
Use @Transactional annotation to mark a method as transactional.
Transactions can be managed programmatically using TransactionTemplate.
Rollback can be triggered manually in case of exceptions.
Spring Boot supports both declarative
I applied via LinkedIn and was interviewed in Feb 2024. There was 1 interview round.
Hoisting is a behavior in JavaScript where variable and function declarations are moved to the top of their containing scope during compilation.
Variable declarations are hoisted to the top of their scope, but not their assignments.
Function declarations are fully hoisted, meaning they can be called before they are declared.
Hoisting can lead to unexpected behavior if not understood properly.
Function currying is a technique in functional programming where a function with multiple arguments is transformed into a sequence of nested functions, each taking a single argument.
Currying allows partial application of a function, where some of the arguments are fixed and the rest are left to be supplied later.
It helps in creating reusable functions and improving code readability.
Example: const add = (a) => (b) => a ...
I applied via Referral and was interviewed before Dec 2023. There were 2 interview rounds.
Load balancers distribute incoming network traffic across multiple servers to ensure no single server is overwhelmed.
Load balancers monitor the health of servers and distribute traffic based on predefined algorithms.
They can be hardware-based or software-based.
Common algorithms used by load balancers include round-robin, least connections, and IP hash.
Load balancers can improve reliability and scalability of a website ...
The Two Sum problem involves finding two numbers in an array that add up to a target value.
Iterate through the array and store the difference between the target and current element in a hashmap.
Check if the current element exists in the hashmap, if yes, return the indices of the current element and the stored difference.
Time complexity of O(n) can be achieved by using a hashmap to store elements and their indices.
I applied via Naukri.com and was interviewed in Feb 2021. There were 4 interview rounds.
Implemented the Observer design pattern.
Used to maintain consistency between related objects
Allows for one-to-many relationships between objects
Used in event-driven systems
Example: Used to update UI when data changes in backend
I have implemented a microservices architecture for scalability and flexibility.
Implemented microservices architecture using Docker and Kubernetes
Used API Gateway for routing and load balancing
Implemented service discovery using Consul
Implemented circuit breaker pattern using Hystrix
Implemented centralized logging using ELK stack
Implemented distributed tracing using Zipkin
Implemented event-driven architecture using Kaf...
I improved stored procedure performance by optimizing queries and indexes.
Identified and removed unnecessary joins and subqueries
Used appropriate indexing to speed up query execution
Reduced the number of round trips to the database by using batch processing
Rewrote complex queries to simpler ones
Used stored procedure parameters instead of variables to avoid recompilation
Used SET NOCOUNT ON to reduce network traffic
Used
posted on 24 Dec 2024
I applied via Approached by Company and was interviewed before Dec 2023. There were 2 interview rounds.
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