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I applied via Referral and was interviewed in Jan 2024. There was 1 interview round.
Python supports various data types including integers, floats, strings, lists, tuples, dictionaries, and more.
Integers: whole numbers without decimals (e.g. 5, -10)
Floats: numbers with decimals (e.g. 3.14, -0.5)
Strings: sequences of characters enclosed in quotes (e.g. 'hello', '123')
Lists: ordered collections of items (e.g. [1, 2, 3])
Tuples: ordered, immutable collections of items (e.g. (1, 2, 3))
Dictionaries: unordere...
Stack is Last In First Out (LIFO) data structure, while queue is First In First Out (FIFO) data structure.
Stack is like a stack of plates, where you can only take the top plate off first.
Queue is like a line at a grocery store, where the first person in line gets served first.
Stack operations include push and pop, while queue operations include enqueue and dequeue.
KPI stands for Key Performance Indicator. Servers can be monitored using tools like Nagios, Zabbix, or Prometheus.
KPI is a measurable value that demonstrates how effectively a company is achieving key business objectives.
To monitor a server, tools like Nagios, Zabbix, or Prometheus can be used to track metrics such as CPU usage, memory usage, disk space, and network traffic.
Setting up alerts based on predefined thresho...
Stack and queue are data structures with different principles and use cases.
Stack is Last In First Out (LIFO) while queue is First In First Out (FIFO)
Stack is used for function calls, undo operations, and backtracking
Queue is used in BFS algorithms, printer queues, and messaging systems
KPIs are Key Performance Indicators used to measure the success of an application. Monitoring can be done through tools like monitoring software and dashboards.
KPIs are specific metrics used to evaluate the performance of an application
Monitoring can be done using monitoring software like Nagios, Prometheus, or New Relic
Dashboards can be created to visualize KPIs in real-time
Examples of KPIs for an application could in
I applied via Referral and was interviewed in Oct 2022. There were 2 interview rounds.
Stack is LIFO and Queue is FIFO data structure.
Stack is a linear data structure where insertion and deletion happen at one end called the top.
Queue is a linear data structure where insertion happens at the rear and deletion happens at the front.
Stack follows Last In First Out (LIFO) principle while Queue follows First In First Out (FIFO) principle.
Stack is used in recursive function calls, undo-redo operations, and bac...
Use a distributed system with real-time processing to track 1 million records generated every 5 minutes.
Implement a distributed system like Apache Kafka or Apache Spark to handle the large volume of data.
Use real-time processing to ensure that the data is analyzed and tracked as soon as it is generated.
Consider using cloud-based solutions like AWS or Google Cloud Platform for scalability and cost-effectiveness.
Implemen...
I applied via Campus Placement and was interviewed in Jul 2020. There were 4 interview rounds.
I appeared for an interview before Sep 2020.
Round duration - 90 minutes
Round difficulty - Easy
This was MCQ+Coding round.
Check if two strings are anagrams by comparing the sorted versions of the strings.
Sort both strings and compare if they are equal.
Use a hashmap to store the frequency of characters in each string and compare the maps.
Ignore spaces and punctuation when comparing the strings.
Round duration - 90 minutes
Round difficulty - Easy
This was face to face interview round.
Round duration - 90 minutes
Round difficulty - Easy
This was face to face interview round.
Tip 1 : Participate in live contests on websites like Codechef, Codeforces etc as much as possible.
Tip 2 : Practice previous interview questions from LeetCode, GeeksForGeeks.
Tip 3 : Revise Computer Science subjects like DBMS, OOPS thoroughly.
Add projects and Internships if you have done any and add only those things which you really know.
Final outcome of the interviewSelectedI appeared for an interview before Sep 2020.
Round duration - 90 Minutes
Round difficulty - Medium
Interview started at 11:00 am. It was an online round. During the coding round I submitted optimized solution and got full acceptance of the solutions.
You are provided with a directed graph composed of 'N' nodes. You have a matrix called 'EDGES' with dimensions M x 2, which specifies the 'M' edges in the graph. Each edge...
Detect cycle in a directed graph using depth-first search (DFS) algorithm.
Use DFS to traverse the graph and detect back edges indicating a cycle.
Maintain a visited array to keep track of visited nodes during traversal.
If a node is visited again during traversal and it is not the parent node, then a cycle exists.
Return true if a cycle is detected, false otherwise.
Round duration - 80 Minutes
Round difficulty - Medium
Interview started at 10:00 am. Interview went well, I was able to connect with the interviewer and enjoyed the whole interview
Find the next smallest palindrome strictly greater than a given number 'N' represented as a string 'S'.
You are given a number in string format, a...
Find the next smallest palindrome greater than a given number represented as a string.
Convert the string to an integer, find the next greater palindrome, and convert it back to a string.
Handle cases where the number is a palindrome or has all digits as '9'.
Consider both odd and even length numbers when finding the next palindrome.
Round duration - 80 Minutes
Round difficulty - Medium
Interview started at 11:00 am. Interview went well.
Given a binary tree of integers, your task is to return the boundary nodes of the tree in Anti-Clockwise direction starting from the root node.
The first line ...
Return the boundary nodes of a binary tree in Anti-Clockwise direction starting from the root node.
Traverse the left boundary nodes in a top-down manner
Traverse the leaf nodes from left to right
Traverse the right boundary nodes in a bottom-up manner
Handle cases where duplicates occur in the boundary nodes
Implement the function without printing as printing is already managed
Tip 1 : For Data Structures number of questions doesn't matter. Try to understand the logic behind them and try to apply them in creating multiple scenario's. Learn them by heart.
Tip 2 : For Web.Development Try to learn full stack development. See which part interests you more, Increase your knowledge horizon, Always try to build a system a system considering It will be served to millions of customers. By doing this 1-2 projects will increase and cover all the major things which one should learn in their career/college.
Tip 1 : Always try to make it a single page
Tip 2 : Always make resume company specific. eg. Data Structures part more if you are applying for MNC's eg. Amazon, Google, DE Shaw, browserstack.
I appeared for an interview in Aug 2017.
Merge Sort is a divide and conquer algorithm that sorts an array by dividing it into two halves, sorting them separately, and then merging the sorted halves.
Divide the array into two halves
Recursively sort the two halves
Merge the sorted halves
Find pairs of integers in a BST whose sum is equal to a given number.
Traverse the BST and store the values in a hash set.
For each node, check if (X - node.value) exists in the hash set.
If yes, add the pair (node.value, X - node.value) to the result.
Continue traversal until all nodes are processed.
Merge overlapping time intervals into mutually exclusive intervals.
Sort the intervals based on their start time.
Iterate through the intervals and merge overlapping intervals.
Output the mutually exclusive intervals.
Example: [(1,3), (2,6), (8,10), (15,18)] -> [(1,6), (8,10), (15,18)]
Different types of hashing and alternative for Linear Chaining
Different types of hashing include division, multiplication, and universal hashing
Alternative for Linear Chaining is Open Addressing
Open Addressing includes Linear Probing, Quadratic Probing, and Double Hashing
An AVL tree is a self-balancing binary search tree where the heights of the left and right subtrees differ by at most one.
AVL tree is a binary search tree with additional balance factor for each node.
The balance factor is the difference between the heights of the left and right subtrees.
Insertion and deletion operations in AVL tree maintain the balance factor to ensure the tree remains balanced.
Rotations are performed ...
Find the minimum number of squares whose sum equals to a given number n.
Use dynamic programming to solve the problem efficiently.
Start with finding the square root of n and check if it is a perfect square.
If not, then try to find the minimum number of squares required for the remaining number.
Repeat the process until the remaining number becomes 0.
Return the minimum number of squares required for the given number n.
Insertion sort for a singly linked list.
Traverse the list and compare each node with the previous nodes
If the current node is smaller, swap it with the previous node
Repeat until the end of the list is reached
Time complexity is O(n^2)
I applied via Naukri.com and was interviewed in May 2019. There were 4 interview rounds.
I applied via Company Website and was interviewed in May 2019. There were 5 interview rounds.
I applied via Company Website and was interviewed in May 2019. There were 4 interview rounds.
Implemented a new customer feedback system that increased customer satisfaction by 20%
Implemented a new customer feedback system to gather insights and improve customer experience
Analyzed feedback data to identify common issues and areas for improvement
Implemented changes based on feedback to address customer concerns and enhance overall satisfaction
Trained team members on how to effectively use the new system and inte...
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Interview experience
Software Engineer
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Application Support Engineer
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