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I was interviewed in Mar 2024.
20 questions in Aptitude and 20 questions in coding
Short coding round containing 4 questions
They are asked for machine learning as the topic filtered 15 out of 30 peoples
They shared some topic related to current affairs
Real-time examples of OOP concepts include inheritance in vehicle classes, encapsulation in banking systems, and polymorphism in shape classes.
Inheritance: Car and Bike classes inheriting from Vehicle class
Encapsulation: BankAccount class with private variables and public methods
Polymorphism: Circle and Square classes both inheriting from Shape class
Use Floyd's Cycle Detection Algorithm to detect loop in a Linked list.
Initialize two pointers, slow and fast, at the head of the linked list.
Move slow pointer by one step and fast pointer by two steps.
If they meet at any point, there is a loop in the linked list.
To find the middle of a linked list, use the slow and fast pointer technique.
Initialize two pointers, slow and fast, both pointing to the head of the linked list.
Move the slow pointer by one step and the fast pointer by two steps until the fast pointer reaches the end of the list.
The position of the slow pointer will be the middle of the linked list.
I applied via Campus Placement
Basic aptitude questions involved basic mathematics,reasoning and English.
It was quite simple but Little bit tricky.
There were physical round of coding they give one coding question and give 20 min. to solve that question
I applied via Walk-in and was interviewed before Oct 2023. There were 2 interview rounds.
The first round is a online test
1 question is given to solve , easy one
Odessa interview questions for designations
I applied via Referral and was interviewed before Aug 2022. There were 3 interview rounds.
I applied via Campus Placement and was interviewed before Oct 2022. There were 2 interview rounds.
The coding test consisted of two programming questions hosted on a platform
I applied via Campus Placement and was interviewed before Sep 2022. There were 3 interview rounds.
Aptitude Test is not so much hard and no so much simple. It is of medium difficulty and Includes vast variety of Questions,
In Coding they ask 3 Questions along with 30 MCQ related to Engineer topics. Coding question is from Simple -> Hard
I applied via campus placement at Lovely Professional University (LPU) and was interviewed before Sep 2021. There were 5 interview rounds.
1 hours, Easy to medium Level Questions
2 hours, easy Level Question on tree, Arrays and Binary Search
I applied via Naukri.com and was interviewed in Nov 2020. There were 6 interview rounds.
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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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