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I applied via LinkedIn and was interviewed before Aug 2021. There were 4 interview rounds.
It was easy
posted on 12 Sep 2021
I applied via LinkedIn and was interviewed in Aug 2021. There were 3 interview rounds.
Design a system for managing car parking.
Determine the size and layout of the parking lot.
Decide on the type of parking system (e.g. self-parking, valet).
Implement a ticketing system for tracking cars and payments.
Use sensors or cameras to monitor parking spaces.
Integrate with a payment gateway for online payments.
Provide real-time information on available parking spaces.
Consider implementing a loyalty program for freq
Designing a system for an elevator
Identify the requirements and constraints
Determine the number of floors and elevators needed
Choose the elevator algorithm (e.g. FCFS, SCAN, LOOK)
Design the elevator controller
Consider safety features (e.g. emergency stop, overload protection)
Include user interface (e.g. buttons, displays)
Consider maintenance and repair
Test and optimize the system
A photo-sharing app system design
Use a scalable architecture to handle large amounts of data
Implement a secure authentication and authorization system
Utilize a content delivery network (CDN) for fast image loading
Allow users to tag and categorize photos for easy search and discovery
Implement a notification system for likes, comments, and new followers
I applied via Recruitment Consultant and was interviewed before May 2020. There were 5 interview rounds.
posted on 22 Mar 2024
Questions on react , majorly focus on basics
posted on 22 Mar 2022
I was interviewed in Feb 2022.
Simple apti questions
I have experience in coding various types of software projects.
I have worked on web development projects using HTML, CSS, and JavaScript.
I have also developed mobile applications using Java and Kotlin.
I have experience in backend development using Python and Node.js.
I have worked on database management using SQL and MongoDB.
I have implemented algorithms and data structures in C++ and Java.
I was interviewed in Aug 2021.
Round duration - 75 Minutes
Round difficulty - Medium
This was an online coding round where we had 2 questions to solve under 75 minutes. The questions were of Medium to Hard level of difficulty and I found the problem statements to be a bit tricky.
Given an integer N
representing the number of pairs of parentheses, find all the possible combinations of balanced parentheses using the given number of pairs.
Approach :
1) First make a recursive function, say ‘solve’ taking the number of opening brackets ‘opening’, number of closing brackets ‘closing’ output string ‘output’, and an array of strings ‘ans’ as arguments.
2) Make the base condition as if ‘opening’ = 0 and ‘closing’ = 0 then push the output string in the ‘ans’ and return.
3) If ‘opening’ is not equal to zero then call the ‘solve’ function recursively by decre...
Given three non-negative integers X
, Y
, and Z
, determine the longest happy string. A happy string is defined as a string that contains only the letters 'a', 'b', and...
Approach :
1) Let the 'X', 'Y', 'Z' be the maximum availability ‘a’, ‘b’, ‘c’ respectively.
2) Declare an empty string say ‘S’ to store the answer string.
3) Run a loop till (x + y + z)
3.1) If ( 'X' >= 'Y' and 'X' >= 'Z' and the last two letters in ‘S’ is not “aa” ) or ( the last two letters in ‘S’ are “bb” or “cc” and 'X' is nonzero).
Add ‘a’ to ‘S’, and update 'X' to ‘x - 1’.
3.2) If ( 'Y' >= 'X' and 'Y' &g...
Round duration - 60 Minutes
Round difficulty - Medium
This round had 2 preety decent questions of DSA . The interviewer was also quite freindly and helpful. I was able to solve both the questions under the given time frame and also discussed their respective time and space complexites.
Given a graph with 'N' nodes and 'M' unidirectional edges, along with two integers 'S' and 'D' representing the source and destination respectively, your task is to find all possible p...
Approach (Using Backtracking) :
Let ‘allAllPaths(n, m, edges, src, des)’ be the function that returns a 2D array that contains all the possible paths.
1) Take the following variables: 2D array ‘Graph’, to store graphs and ‘Visited’ array to mark each node whether it is visited or not.
2) Clear graph, initialize the visited array to false.
3) Run a loop from 0 to 'm' :
3.1) Add the undirected edge between edges[i] [0] ...
Determine if a given singly linked list of integers forms a cycle or not.
A cycle in a linked list occurs when a node's next
points back to a previous node in the ...
Approach :
1) Initialize slow and fast at the beginning.
2) Start moving slow to every next node and moving fast 2 jumps, while making sure that fast and its next is not null.
3) If after adjusting slow and fast, if they are referring to the same node, there is a cycle otherwise repeat the process
4) If fast reaches the end or null then the execution stops and we can conclude that no cycle exists.
TC : O(N), where N =
Round duration - 60 Minutes
Round difficulty - Medium
This round had 1 question related to BST followed by some standard questions from OOPS and Operating Systems.
You are given the ‘root’ of a Balanced Binary Search Tree and an integer ‘target’. Your task is to determine if there exists any pair of nodes such ...
Approach :
1) Maintain a hash-map ‘mp,’ which keeps track of the nodes we have visited.
2) We will use a helper function, ‘helper’.
3) ‘helper’ takes ‘root,’ ‘target,’ and ‘mp’ as input parameters, where ‘root’ is the root of the binary tree, ‘target’ is the value which should be equal to sum of 2 nodes and ‘mp’ is the hash-map we use to keep track of nodes visited.
3.1) For a given root ‘toFind’ value is the other h...
OOP is used commonly for software development. One major pillar of OOP is polymorphism. Early Binding and Late
Binding are related to that. Early Binding occurs at compile time while Late Binding occurs at runtime. In method
overloading, the bonding happens using the early binding. In method overriding, the bonding happens using the late
binding. The difference between Early and Late Binding is that Early Binding uses the...
Multitasking : It refers to the process in which a CPU happens to execute multiple tasks at any given time. CPU
switching occurs very often when multitasking between various tasks. This way, the users get to collaborate with
every program together at the same time. Since it involves rapid CPU switching, it requires some time. It is because
switching from one user to another might need some resources. The processes in mult...
Round duration - 30 Minutes
Round difficulty - Easy
This was my last round and I hoped it to go good just like the other rounds. The interviewer was very straight to point
and professional. The interview lasted for 30 minutes.
If you get this question, it's an opportunity to choose the most compelling information to share that is not obvious from
your resume.
Example :
Strength -> I believe that my greatest strength is the ability to solve problems quickly and efficiently, which makes me
unique from others.
Ability to Handle Pressure -> I enjoy working under pressure because I believe it helps me grow and become more
efficient .
Tip : Emphasi...
Tip 1 : Must do Previously asked Interview as well as Online Test Questions.
Tip 2 : Go through all the previous interview experiences from Codestudio and Leetcode.
Tip 3 : Do at-least 2 good projects and you must know every bit of them.
Tip 1 : Have at-least 2 good projects explained in short with all important points covered.
Tip 2 : Every skill must be mentioned.
Tip 3 : Focus on skills, projects and experiences more.
I was interviewed in Feb 2021.
Round duration - 90 minutes
Round difficulty - Medium
Implement a program that performs basic string compression. When a character is consecutively repeated more than once, replace the consecutive duplicates with the coun...
The steps are as follows:
Round duration - 90 minutes
Round difficulty - Easy
This was my first technical round. he asked me about all my projects and the technologies used. some questions were on c and c++. what is heap , stack, memory allocation methods. Basically they covered all the concepts of c from string to pointers. Then they gave me one coding question which was on arrays. Best part was interviewers were very friendly.
Given a positive integer N
, your task is to find and display all jumping numbers that are less than or equal to N
.
A number is termed a jumping number if every adjacent ...
The steps are as follows:
Round duration - 75 minutes
Round difficulty - Hard
This round was completely on data structures . he asked me all the questions related to linked list like detect a loop, remove a loop and graphs like BFS and DFS algorithms and some on trees. even on Adjacency matrix and adjacency list.
Round duration - 60 minutes
Round difficulty - Medium
Tip 1 : Practice coding daily
Tip 2 : Learn new concepts everyday
Tip 3 : Know all that standard coding questions
Tip 1 : Do not bluff on ur resume.
Tip 2 : Keep relevant projects.
Python has several built-in datatypes including int, float, bool, str, list, tuple, set, and dict.
int - represents integers
float - represents floating-point numbers
bool - represents boolean values True and False
str - represents strings
list - represents ordered sequences of values
tuple - represents ordered, immutable sequences of values
set - represents unordered collections of unique values
dict - represents unordered co
Flask is a micro web framework while Django is a full-stack web framework.
Flask is lightweight and flexible, allowing developers to choose their own libraries and tools.
Django is a batteries-included framework with built-in ORM, admin interface, and authentication system.
Flask is ideal for small to medium-sized projects, while Django is better suited for larger, more complex projects.
Flask has a smaller learning curve ...
Flask is lightweight and good for small projects, while Django is more robust and suitable for larger projects.
Flask is good for small projects with simple requirements
Django is more suitable for larger projects with complex requirements
Flask is lightweight and flexible, allowing for more customization
Django has a lot of built-in features and is more opinionated
Flask is better for RESTful APIs and microservices
Django i...
Decorators are functions that modify the behavior of other functions or classes without changing their source code.
Decorators are denoted by the @ symbol in Python.
They can be used to add functionality to a function or class, such as logging or timing.
Decorators can also be used to modify the behavior of a function or class, such as adding caching or memoization.
Decorators can be chained together to apply multiple modi
Generators are functions that can be paused and resumed, allowing for lazy evaluation of data.
Generators use the yield keyword to pause execution and return a value.
They can be used to generate an infinite sequence of values.
Generators are memory efficient as they only generate values when needed.
They are commonly used in data processing and asynchronous programming.
range and xrange are used to generate a sequence of numbers in Python.
range returns a list of numbers while xrange returns an iterator object.
range is memory-intensive while xrange is memory-efficient.
range is used in Python 3 while xrange is used in Python 2.
range can take three arguments: start, stop, and step while xrange can take two arguments: start and stop.
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