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Serverless refers to a cloud computing model where the cloud provider manages the infrastructure and automatically allocates resources as needed.
Serverless computing allows developers to focus on writing code without worrying about managing servers or infrastructure.
Resources are dynamically allocated and scaled based on demand, leading to cost efficiency.
Examples of serverless platforms include AWS Lambda, Azure Funct
Azure Functions is a serverless compute service that allows you to run event-triggered code without managing infrastructure.
Azure Functions allows you to write small pieces of code that run in response to events.
It supports multiple programming languages like C#, JavaScript, Python, etc.
Functions can be triggered by various events like HTTP requests, timers, queues, etc.
Azure Functions automatically scales based on dem...
Microservices are a software development technique where applications are composed of small, independent services that communicate with each other.
Microservices break down applications into smaller, loosely coupled services
Each service is responsible for a specific function and can be developed, deployed, and scaled independently
Communication between services is typically done through APIs
Examples of companies using mi
Microservices are smaller, independent services that work together, while Monolithic is a single, large application.
Microservices are smaller, independent services that can be developed, deployed, and scaled independently.
Monolithic architecture is a single, large application where all components are tightly coupled.
Microservices promote flexibility, scalability, and fault isolation.
Monolithic applications are easier t...
posted on 7 Oct 2023
Data lake is a centralized repository for storing structured and unstructured data, while mesh is a network of interconnected services.
Data lake stores raw data in its native format, while mesh connects various services and applications.
Data lake is used for data storage and analytics, while mesh is used for communication and integration.
Examples of data lake technologies include Amazon S3 and Hadoop, while examples of
posted on 4 Sep 2024
I applied via LinkedIn and was interviewed in Aug 2024. There were 2 interview rounds.
posted on 8 Nov 2024
Optimize data transfer by compressing data, using caching, minimizing unnecessary transfers, and utilizing efficient protocols.
Utilize data compression techniques to reduce the size of data being transferred
Implement caching mechanisms to store frequently accessed data locally and reduce the need for repeated transfers
Minimize unnecessary data transfers by only sending essential data and avoiding redundant transfers
Uti...
I applied via Naukri.com and was interviewed before Jul 2023. There were 3 interview rounds.
Aptitude test had all the quants topics
I applied via Recruitment Consulltant and was interviewed before Feb 2022. There were 4 interview rounds.
I applied via Walk-in and was interviewed before Oct 2022. There were 3 interview rounds.
It's just basic aptitude test
I applied via Naukri.com and was interviewed in Sep 2021. There were 3 interview rounds.
I applied via Naukri.com and was interviewed before Aug 2020. There were 3 interview rounds.
posted on 8 Dec 2024
I applied via Naukri.com and was interviewed in Nov 2024. There were 3 interview rounds.
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