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I applied via LinkedIn and was interviewed in Oct 2023. There were 3 interview rounds.
I applied via Company Website and was interviewed in Feb 2024. There were 2 interview rounds.
1. Some questions based on JS and NodeJS concepts
2. Minimum product of three numbers. All possible solutions
Rate Limiter is a software component used to control the rate of traffic sent or received by a system.
High-Level Design (HLD) of Rate Limiter involves defining the overall architecture and components of the system.
Low-Level Design (LLD) of Rate Limiter focuses on the detailed design of individual components, algorithms, and data structures.
Example: HLD may include defining the overall flow of requests through the rate ...
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posted on 27 May 2024
Design a page to fetch and render items with pagination via api call
Use a frontend framework like React or Angular to create the page
Make an API call to fetch the list of items
Implement pagination logic to display a limited number of items per page
Include navigation buttons for users to move between pages
Consider adding a search feature to filter items
Questions around js currying, closure, promises
posted on 30 Nov 2024
General aptitude questions
posted on 24 Dec 2024
posted on 8 Aug 2022
I appeared for an interview in Jul 2022.
MCQ questions and two coding questions for this test.
posted on 24 Sep 2023
I applied via Referral and was interviewed before Sep 2022. There were 2 interview rounds.
posted on 25 Sep 2023
I applied via Approached by Company and was interviewed before Sep 2022. There were 4 interview rounds.
Algorithm and database and datastructures
Language and basic understanding
posted on 4 Oct 2024
React is a JavaScript library for building user interfaces, known for its efficiency and flexibility.
React allows for the creation of reusable UI components, making development faster and more efficient.
It uses a virtual DOM for optimal performance by only updating the necessary components when data changes.
React's component-based architecture promotes code reusability and maintainability.
It has a large and active comm...
I applied via Recruitment Consulltant and was interviewed in Apr 2023. There were 2 interview rounds.
Google Autocomplete problem involves predicting the most likely search queries based on partial input.
Utilize algorithms like Trie or N-gram models to efficiently predict search queries.
Consider user's location, search history, and popular queries for better predictions.
Implement real-time updating of autocomplete suggestions based on user input.
Optimize for speed and accuracy to enhance user experience.
Word Search2 problem. Interviewer wanted solution other than trie.
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