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I applied via Referral and was interviewed before Jul 2023. There was 1 interview round.
Based on Phython, coding test was conducted
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posted on 9 Sep 2020
I applied via Naukri.com and was interviewed in Aug 2020. There were 4 interview rounds.
posted on 24 Nov 2020
I applied via Recruitment Consultant and was interviewed in Jun 2020. There was 1 interview round.
I was interviewed in Dec 2016.
LRU (Least Recently Used) is a caching algorithm that removes the least recently used item when the cache is full.
LRU uses a combination of a doubly linked list and a hash map.
The doubly linked list keeps track of the order of recently used items.
The hash map allows for efficient lookup of items in the cache.
When a new item is accessed, it is moved to the front of the list.
If the cache is full, the item at the end of t
Pressing 'k' on Notepad triggers a series of events including key press event, character insertion, and potential text manipulation.
When 'k' is pressed, a key press event is triggered
The key press event is captured by the Notepad application
The character 'k' is inserted at the current cursor position
If any text is selected, it may be replaced by the character 'k'
The cursor position is updated to the next position
If aut
Polymorphism allows objects to be treated as instances of their parent class, enabling flexibility and reusability in code.
Polymorphism allows a parent class to be used as a reference to a child class object
It enables methods in different classes to have the same name but different implementations
Example: Animal class with methods like eat() can be inherited by Dog and Cat classes with their own eat() implementations
To start a React project with a Dotnet Core backend, set up the frontend and backend separately and then connect them using API calls.
Set up a new React project using create-react-app
Create a new Dotnet Core project for the backend
Implement API endpoints in the Dotnet Core backend to communicate with the React frontend
Use tools like Axios or Fetch in React to make API calls to the backend
Ensure CORS is configured prope...
I applied via Naukri.com and was interviewed in Aug 2024. There was 1 interview round.
OLAP is used for analyzing historical data while OLTP is used for managing real-time transactional data.
OLAP stands for Online Analytical Processing, used for data analysis and reporting.
OLTP stands for Online Transactional Processing, used for managing real-time transactional data.
OLAP databases are optimized for read-heavy workloads and complex queries.
OLTP databases are optimized for write-heavy workloads and simple...
posted on 21 Mar 2023
I applied via Company Website and was interviewed in Sep 2022. There were 2 interview rounds.
posted on 14 Apr 2023
I applied via Recruitment Consulltant and was interviewed before Apr 2022. There were 3 interview rounds.
Regarding Java and oop's concept
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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