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posted on 15 Jun 2024
Design a URL shortener service to generate short URLs for long URLs.
Use a unique identifier for each long URL to generate a short URL.
Implement a mapping system to map short URLs to long URLs.
Consider using a hashing algorithm to generate short URLs.
Include a database to store mappings between short and long URLs.
I applied via Referral and was interviewed before Oct 2022. There were 3 interview rounds.
50 questions in 12mins
I applied via Company Website and was interviewed in Dec 2021. There were 4 interview rounds.
Code to find frequency of characters in a given string
Use a hash table to store character frequencies
Iterate through the string and update the hash table accordingly
Print the hash table to display the character frequencies
Code to reverse a linked list
Create three pointers: prev, curr, and next
Initialize prev to null and curr to head
Loop through the list and set next to curr's next node
Set curr's next node to prev
Move prev and curr one node ahead
Return prev as the new head
Code to reverse linked list in size of K
Create a function that takes head of linked list and size K as input
Traverse the linked list in groups of K nodes
Reverse each group of K nodes using iterative or recursive approach
Connect the reversed groups to form the final linked list
Return the new head of the reversed linked list
posted on 24 Jun 2023
Given an simple gaming questions to be developed in JS
Given another UI design in image to be developed
I applied via Referral and was interviewed in Sep 2023. There was 1 interview round.
Merge two sorted linked lists into a single sorted linked list
Create a new linked list to store the merged result
Iterate through both input linked lists and compare nodes to determine the order in which they should be merged
Update the next pointers of the nodes in the new linked list accordingly
posted on 27 Jan 2017
I appeared for an interview in Dec 2016.
Certifications are not mandatory for software developers, but can add value to their resume.
Certifications in programming languages like Java, Python, C++
Certifications in software development methodologies like Agile, Scrum
Certifications in cloud computing platforms like AWS, Azure
Certifications in security like CISSP, CEH
Certifications in project management like PMP
Certifications in mobile app development like Androi
I applied via Campus Placement
Its was data structure and algorithm and SQL round 4 question of dsa and 2 question of sql
OTP less work eliminates the need for one-time passwords for authentication.
OTP less work uses alternative methods like biometrics, push notifications, or hardware tokens for authentication.
It provides a more seamless and user-friendly authentication experience.
Examples include fingerprint scanning on smartphones or security keys for two-factor authentication.
I applied via Campus Placement and was interviewed in Jun 2022. There were 5 interview rounds.
50 mcq were asked in 12 mins. Most of the candidates qualified this round.
3 coding questions of basic DSA were asked. Also few mcqs from Operating System, Networking and DBMS.
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.
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