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I applied via Approached by Company and was interviewed before May 2022. There were 3 interview rounds.
Just practice basic mathematics of class 7 to class 9
I am a skilled PHP developer with a passion for coding and a desire to work in a challenging environment.
I have experience in developing web applications using PHP, MySQL, and JavaScript.
I am familiar with MVC frameworks such as Laravel and CodeIgniter.
I am a quick learner and enjoy working on new technologies.
I am looking for a company that values innovation and encourages growth.
My expectations include a competitive ...
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posted on 27 Jan 2017
I appeared for an interview in Dec 2016.
I applied via Naukri.com and was interviewed before Aug 2021. There were 2 interview rounds.
I was attended for technical f2f round for Android app developer, they asked to develop sample app with large json parsing in grid view. It's good and nice.
I applied via Naukri.com and was interviewed before Sep 2020. There were 2 interview rounds.
I applied via Referral and was interviewed in Jan 2024. There were 4 interview rounds.
Machine Coding of Google Calendar
Machine Coding of MP3 Player
Find duplicates in an array of strings
Iterate through the array and store each element in a hash set
If an element is already in the hash set, it is a duplicate
Return a list of all duplicates found
Simpl offers a collaborative and innovative work environment with competitive compensation.
Simpl values teamwork and creativity in software development
Competitive compensation package offered to attract top talent
Opportunities for growth and learning through challenging projects
I applied via Campus Placement and was interviewed in Mar 2023. There were 4 interview rounds.
A Google Form-based Aptitude Test with Basic Questions
It was the final round asked to do a medium-level coding Question to convert a number such as 244 to word i.e Two Hundred and Forty four
I appeared for an interview before Feb 2024.
It was an assignment where we were instructed to create a screen that fetches data from the backend and renders it with the functionality of bookmarking.
It was good , 2 questions are there to code.
Using a map to manipulate strings can simplify tasks like counting characters or finding duplicates efficiently.
Use a HashMap to count occurrences of each character in a string. Example: 'hello' -> {'h': 1, 'e': 1, 'l': 2, 'o': 1}.
To find duplicates, iterate through the map and collect characters with a count greater than 1. Example: 'banana' -> ['a', 'n'].
Maps can also be used to store transformations, like mapp...
React Router is a popular routing library for React applications.
React Router is used for handling navigation in React applications.
It allows defining multiple routes in the application and rendering different components based on the URL.
React Router provides components like BrowserRouter, Route, Switch, and Link for routing.
Example:
I applied via Approached by Company and was interviewed before Oct 2023. There were 2 interview rounds.
A simple Google form assignment to shortlist candidates
Use a hash set to find duplicates in an array of strings.
Create a hash set to store unique elements.
Iterate through the array and check if each element is already in the hash set.
If it is, then it is a duplicate.
Example: ['apple', 'banana', 'apple', 'orange'] should return 'apple' as a duplicate.
I applied via Campus Placement and was interviewed before Jul 2022. There were 5 interview rounds.
50 questions in 12 minutes mostly test your arthimetic, logical knowledge.
3 coding questions in 90 mins, 1st one is from arrays an easy question, 2nd one is related to stacks and queues relatively harder and last one is hard which i am also unable to attempt. I cracked the first two questions and my solutions passed all the test cases.
Sorting algorithms are methods used to arrange elements in a specific order.
Different sorting algorithms include bubble sort, selection sort, insertion sort, merge sort, quick sort, and heap sort.
Some algorithms are more efficient than others depending on the size of the data set and the initial order of the elements.
For example, quick sort is generally faster than bubble sort for large data sets.
BFS and DFS are traversal algorithms used in trees. BFS explores level by level, while DFS explores depth first.
BFS (Breadth-First Search) visits nodes level by level, using a queue. Example: traversing a binary tree level by level.
DFS (Depth-First Search) explores as far as possible along each branch before backtracking. Example: in-order traversal of a binary tree.
based on 1 interview experience
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