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Deep learning is a subset of machine learning that uses neural networks to learn from data.
Deep learning involves training neural networks with large amounts of data to make predictions or decisions.
It is used in image recognition, natural language processing, and speech recognition.
Deep learning models can automatically learn to extract features from raw data.
It requires a lot of computational power and data to train ...
Reinforcement Learning is an advanced branch of AI that involves training agents to make decisions based on rewards and punishments.
Reinforcement Learning involves an agent interacting with an environment and learning from the rewards and punishments it receives.
It has been used in various applications such as game playing, robotics, and recommendation systems.
Some popular algorithms in Reinforcement Learning include Q...
I applied via Job Portal and was interviewed before May 2023. There were 3 interview rounds.
LSTM is a type of RNN with additional memory cells to better capture long-term dependencies.
RNN stands for Recurrent Neural Network, while LSTM stands for Long Short-Term Memory.
LSTM has additional memory cells (input, forget, output gates) to better capture long-term dependencies.
RNN suffers from vanishing/exploding gradient problem, while LSTM helps alleviate this issue.
LSTM is better suited for tasks requiring long-...
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I applied via Referral and was interviewed before Jun 2022. There were 5 interview rounds.
Hacker rank test based on string manipulation questions
I applied via LinkedIn and was interviewed in Sep 2022. There were 4 interview rounds.
Online assesment . 5 coding question in 90 minutes
Hackerrank coding test with paired screen. They give problem we have to write the logic
Again hacker rank code pair. the give problem and have to write logic. this round with staff senior engineer
I applied via LinkedIn and was interviewed before Mar 2022. There were 3 interview rounds.
Online test link given data structures were asked, array problem and string problem
Likewise Double Linked List was also asked
Spring Boot API endpoint is a URL that exposes the functionality of a web service.
API endpoints are the entry points for the client to access the server's resources.
Spring Boot provides a simple and easy way to create RESTful APIs.
Endpoints can be secured using Spring Security.
Endpoints can be documented using Swagger or Spring REST Docs.
Examples: /users, /products, /orders
I applied via Approached by Company and was interviewed in Jul 2022. There was 1 interview round.
Count the number of ways to reach target from source in a grid with 0s and 1s.
Use dynamic programming to solve the problem efficiently.
Traverse the grid using DFS or BFS to count the number of ways.
Consider edge cases like when source and target are the same or when there is no path.
Example: Given grid = [[0,0,0],[0,1,0],[0,0,0]], source = (0,0), target = (2,2), answer is 2.
Example: Given grid = [[0,1],[0,0]], source =
Tech stack for designing a scalable Uber-like service.
Use microservices architecture for scalability and fault tolerance.
Choose a cloud provider with auto-scaling capabilities.
Use a load balancer to distribute traffic across multiple instances.
Use a NoSQL database for high availability and scalability.
Use message queues for asynchronous communication between services.
Use containerization for easy deployment and managem...
Design a service to aggregate multiple sources of data/documentation centrally.
Identify sources of data/documentation
Determine data aggregation method
Design a centralized database to store aggregated data
Develop a user-friendly interface to access the data
Ensure data security and privacy
I took on additional responsibilities to help a colleague with a tight deadline.
Assisted a colleague with a project that had a tight deadline
Took on additional tasks outside of my regular responsibilities
Worked extra hours to ensure the project was completed on time
Provided guidance and support to the colleague throughout the project
DSA coding round.
Graph based question, dp question.
Design a service to download large files.
Use a scalable architecture to handle large file downloads.
Implement resumable downloads to handle network interruptions.
Use parallel downloading to speed up the download process.
Implement authentication and authorization to ensure security.
Provide progress updates to the user during the download process.
Implement thread safe load balancer.
focus on input validations and cover all corner cases in tests
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