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AppInventiv Technologies
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I applied via Campus Placement and was interviewed in Sep 2022. There were 5 interview rounds.
It contain the simple DBMS, OOPS and data structure question with coding question.
I applied via LinkedIn and was interviewed in Aug 2024. There were 3 interview rounds.
I applied via LinkedIn and was interviewed before Jul 2023. There were 2 interview rounds.
AppInventiv Technologies interview questions for designations
I applied via campus placement at Centre for Development of Advanced Computing (CDAC) and was interviewed before Aug 2022. There were 5 interview rounds.
1 aptitude test round was there
DSA and technical round
Technical round 2 asking the tech whatever you have studied
I applied via campus placement at Krishna Institute of Engineering and Technology, Ghaziabad and was interviewed before Mar 2022. There were 5 interview rounds.
Aptitude test held in first round of interview, you need to give an assessment for clearing your first round
They named second round as technical round - 1, where you need to give a technical round based on you programming logics
They named this round as technical round - 2, in this round you need to showcase your logics building abilities and need to run some programs and this round held by the management level interviewer
I am a software engineer with a passion for problem-solving and creating innovative solutions.
I have a strong background in software development, with experience in multiple programming languages such as Java, C++, and Python.
I have worked on various projects, including developing web applications, creating mobile apps, and implementing data analysis algorithms.
I enjoy collaborating with cross-functional teams and have...
In the next few years, I see myself growing as a software engineer and taking on more challenging projects.
Continuing to enhance my technical skills and staying updated with the latest technologies
Taking on leadership roles and mentoring junior engineers
Contributing to open-source projects and actively participating in the developer community
Exploring opportunities for professional growth and advancement within the com...
Top trending discussions
The first round was a group discussion about online shopping.
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
Some of the top questions asked at the AppInventiv Technologies Software Engineer interview -
based on 7 interviews
3 Interview rounds
based on 26 reviews
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