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AppInventiv Technologies
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They will general topic like impact of social media, work from home vs office , hoe advertisement influences people
I applied via campus placement at GLA Institute of Technology and Management, Mathura and was interviewed in Aug 2022. There were 4 interview rounds.
Coding test is good and easy.With coding test aptitude test also included
I applied via campus placement at National Institute of Technology (NIT), Raipur and was interviewed in Jul 2024. There were 2 interview rounds.
The coding test consists of multiple-choice questions and one medium-hard level coding question.
I applied via campus placement at Dayananda Sagar College of Engineering, Bangalore and was interviewed in Oct 2024. There were 4 interview rounds.
3 coding dsa question
Difficulty is On your luck
My friends got easy level
I got medium level
Some got hard questions as well
Ssh round , quant and logical
Tip: bring your calculator
I applied via Walk-in and was interviewed in Nov 2024. There were 5 interview rounds.
Normal online code / frontend test
Designing and building a platform similar to BookMyShow involves creating a user-friendly interface for booking tickets for various events.
Develop a user-friendly website and mobile app for users to browse and book tickets for movies, concerts, plays, etc.
Implement a secure payment gateway for users to make online transactions.
Integrate a database to store information about events, venues, tickets, and user bookings.
In...
To build a tinyurl-like service, design a system with a URL shortening algorithm, a database to store mappings, and a redirect service.
Use a hashing algorithm to generate short URLs from long URLs (e.g. MD5, SHA-256).
Store the mappings of short URLs to long URLs in a database (e.g. MySQL, Redis).
Implement a redirect service that takes a short URL, looks up the corresponding long URL in the database, and redirects the u...
posted on 9 Dec 2024
I applied via Approached by Company and was interviewed in Nov 2024. There were 2 interview rounds.
I applied via Naukri.com and was interviewed in Dec 2024. There were 2 interview rounds.
Java based questions and few DSA questions
Implement tree traversal algorithm to visit each node in a tree structure
Use depth-first search (DFS) or breadth-first search (BFS) to traverse the tree
DFS can be implemented using recursion or a stack data structure
BFS can be implemented using a queue data structure
Example: Inorder traversal of a binary tree - left, root, right
Find the path in a matrix with the longest sum of elements
Start from the top-left corner of the matrix
Move only right or down in the matrix
Keep track of the sum of elements in each path
Return the path with the longest sum
I applied via Approached by Company and was interviewed in Aug 2024. There was 1 interview round.
Developed a mobile app for tracking personal fitness goals
Used React Native to create a cross-platform app
Implemented features such as goal setting, progress tracking, and workout logging
Integrated with wearable devices like Fitbit for automatic data syncing
Ways to speed up SQL queries in increasing order of complexity
Use indexes on columns frequently used in WHERE clauses
Optimize queries by avoiding unnecessary joins and subqueries
Use stored procedures to reduce network traffic and improve performance
Consider denormalizing tables for frequently accessed data
Use query optimization techniques like query caching and query hints
Redis is single-threaded.
Redis is single-threaded, meaning it can only execute one command at a time.
This design choice allows Redis to be extremely fast and efficient for certain use cases.
However, it also means that Redis may not be the best choice for highly concurrent workloads.
Data types that can be used as keys in Python include strings, integers, floats, tuples, and custom objects.
Strings are commonly used as keys in Python dictionaries.
Integers and floats can also be used as keys.
Tuples can be used as keys if they only contain immutable elements.
Custom objects can be used as keys if they are hashable.
Examples: {'name': 'John'}, {1: 'apple'}, {(1, 2): 'tuple'}
Types of indexing in SQL include clustered, non-clustered, unique, and composite indexes.
Clustered index physically reorders the table based on the index key
Non-clustered index creates a separate structure for the index
Unique index ensures that all values in the index column are unique
Composite index uses multiple columns for indexing
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