Filter interviews by
I applied via Approached by Company and was interviewed in Jul 2022. There were 3 interview rounds.
2 Leetcode medium question for 1 hr. 1st was of string manipulation and 2nd was of Dynamic Programming. I don’t remember the exact question.
I applied via Campus Placement and was interviewed before Feb 2023. There were 4 interview rounds.
Online coding round. It has Data structure and algo based questions
I was interviewed in Aug 2017.
The program reads a file and selects the first 3 lines. It then identifies the longest line and counts the number of words in that line.
Read the file using appropriate file handling methods
Store the first 3 lines in an array of strings
Iterate through the array to find the longest line
Count the number of words in the longest line using string manipulation methods
The question is about finding the shortest path in a 3x3 matrix with weighted edges.
This is a graph traversal problem.
Use a graph algorithm like Dijkstra's algorithm or A* search to find the shortest path.
Assign weights to the edges and calculate the sum of weights for each possible path.
Choose the path with the smallest sum of weights as the shortest path.
The Fibonacci series can be applied in day-to-day life for various purposes.
Financial planning: Fibonacci numbers can be used to calculate investment growth and determine optimal investment strategies.
Architecture and design: Fibonacci ratios can be used to create aesthetically pleasing designs and layouts.
Nature and biology: Fibonacci patterns can be observed in the growth of plants, arrangement of leaves, and formati...
Amazon displays only a subset of search results based on various factors like relevance, popularity, and user preferences.
Amazon uses algorithms to determine which products to display in search results.
Factors considered include product relevance, customer reviews, sales rank, and availability.
Machine learning techniques may be used to personalize search results based on user behavior and preferences.
Amazon also consid...
Hash tables are a data structure that uses a hash function to map keys to values, providing efficient lookup, insertion, and deletion.
Hash tables use a hash function to convert keys into array indices.
They provide constant-time average case complexity for search, insert, and delete operations.
Collisions can occur when different keys map to the same index, which can be resolved using techniques like chaining or open add...
The product will be the key and the brands will be the values.
The key in this case refers to the unique identifier for each product.
The values are the different brands associated with each product.
For example, if the product is a smartphone, the key could be the model number and the values could be the different brands that manufacture that model.
Radix sort is a sorting algorithm that sorts integers by processing individual digits from least significant to most significant.
Radix sort is a non-comparative sorting algorithm.
It sorts numbers by grouping them based on each digit's value.
It is commonly used for sorting strings in lexicographic order.
Radix sort has linear time complexity, making it efficient for large datasets.
Radix sort has a running time of O(nk), where n is the number of elements and k is the length of the longest element.
Radix sort is a non-comparative sorting algorithm that sorts elements by their individual digits or characters.
It works by distributing the elements into 10 buckets based on the value of the least significant digit, then repeatedly redistributing them based on the next significant digit.
The process conti...
O(nk) is better than O(n) for large data and hash tables.
O(nk) is better because it takes into account the size of the data and the number of keys.
For large data and hash tables, the size of n will be large, making O(nk) more efficient.
O(n) assumes a constant number of keys, which may not be the case in practice.
Amazon may have chosen O(nk) for better scalability and performance.
I have worked on various projects including a web application for tracking fitness goals and a mobile app for managing personal finances.
Developed a web application using React and Node.js to track fitness goals and progress
Created a mobile app using Flutter to manage personal finances and budgeting
Collaborated with a team to implement features, fix bugs, and optimize performance
If not selected for PayPal, I will continue applying to other companies, improve my skills, and network with professionals in the industry.
Continue applying to other tech companies for similar roles
Work on improving technical skills through online courses or personal projects
Network with professionals in the industry through events or online platforms like LinkedIn
Top trending discussions
I applied via Company Website
2 DSA medium questions was asked.
2 DSA coding questions and CS fundamentals
posted on 1 Oct 2024
I applied via Approached by Company and was interviewed in Sep 2024. There was 1 interview round.
posted on 25 Sep 2024
1. medium dp question on busrst ballon
2. graph quetion on flood fill
Design a file search feature for a software application.
Implement a search bar where users can input keywords or phrases to search for files.
Include filters for file type, date modified, and other relevant criteria.
Display search results in a user-friendly format with relevant file details.
Allow users to preview files before opening or downloading them.
Consider implementing search suggestions or autocomplete functional...
TrieNode common prefix
Graph dkistra algo find least time to fill
I applied via Company Website and was interviewed in Oct 2024. There was 1 interview round.
Asked to write a bank application - which includes adding,removing,transferring of money
posted on 31 Jul 2024
Lazy loading defers the initialization of an object until it is actually needed, while eager loading initializes the object immediately.
Lazy loading is commonly used in Singleton pattern to delay the creation of the instance until it is requested.
Eager loading initializes the Singleton instance at the time of class loading.
Lazy loading can help improve performance by only creating the instance when needed, while eager ...
Use Spring Boot configuration to connect master and slave instances of a DB
Configure multiple data sources in application.properties or application.yml file
Use @Primary annotation for the master data source and @Qualifier annotation for the slave data source
Define separate DataSource, JdbcTemplate, and EntityManager beans for each data source
Use @Transactional annotation with the appropriate data source to specify whic
Global exception handler in Spring Boot handles all exceptions thrown by the application.
Global exception handler can be implemented using @ControllerAdvice annotation in Spring Boot.
It allows centralized exception handling for all controllers in the application.
You can define methods annotated with @ExceptionHandler to handle specific exceptions.
Global exception handler can return custom error responses or redirect to
Some of the top questions asked at the PayPal Software Engineer Level 1 interview -
based on 2 interviews
Interview experience
based on 1 review
Rating in categories
Software Engineer2
295
salaries
| ₹15 L/yr - ₹45 L/yr |
Software Engineer
256
salaries
| ₹12.6 L/yr - ₹51.4 L/yr |
Software Engineer III
245
salaries
| ₹17 L/yr - ₹66 L/yr |
Senior Software Engineer
220
salaries
| ₹15 L/yr - ₹52.1 L/yr |
Data Scientist
166
salaries
| ₹17 L/yr - ₹50 L/yr |
Paytm
Razorpay
Visa
MasterCard