Cex Webuy Entertainment Database Admin Interview Questions and Answers

Q1. Basic questions from your previous job profile.
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Q1. Advance level data structures and algorithms questions.
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Q1. Basic HR questions and hobbies.
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Q1. 2,3 Round technical
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Q2. Basic .net ,MVC framework concepts,SQL logical questions
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Q1. Basic fundamentals of React, JS, HTML and CSS
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Q2. Virtual DOM closure Hoisting spread and rest
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Q1. Sprint groom, Maximum story points in sprint, what is the role of scrum master, refresh token, Synthetic events, webpack, reduction, redux saga vs thunk, what pattern thunk follows, hooks
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Answering questions related to sprint grooming, Scrum Master role, refresh tokens, Synthetic events, webpack, redux saga vs thunk, and hooks for Senior Software Engineer position.
• Sprint grooming involves prioritizing and estimating user stories for the upcoming sprint.

• Scrum Master facilitates the Scrum process and ensures the team follows the Agile principles.

• Refresh tokens are used to obtain new access tokens after th...read more
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Q2. Swagger vs postman
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Swagger is for API design and documentation, Postman is for API testing and collaboration.
• Swagger is used for designing and documenting APIs

• Postman is used for testing and collaborating on APIs

• Swagger generates API documentation automatically

• Postman allows for easy API testing and debugging

• Both tools can be used together for a complete API workflow
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Q1. Its a normal questions which usually service based company asked
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Q2. Overall it is good
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Ask you to implement any solution like caching using LRU or LFU

Its a manager round where they discuss about u=your past experiences and also they tell you about the project

Q1. I think they gave you only based on your previous offer.
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Q2. Negotiate well with them . Don't accept just for the sake of an offer because further they will not change it until/ unless it is filling position.
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Q1. 2 DS questions, 1 SQL question
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Q2. Details of projects worked, containerization, APIs
Ans. 
I have worked on multiple projects involving containerization and developing APIs.
• Developed microservices using Docker containers for easy deployment and scalability

• Created RESTful APIs using Node.js and Express framework

• Integrated third-party APIs for data retrieval and processing

• Utilized Kubernetes for container orchestration and management
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Q1. Python - ML/DS pipeline
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Q2. Java- Springboot framework
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