Paynearby Technologies Technical Support Engineer Interview Questions and Answers

Q1. Explain Concurrency
Ans. 
Concurrency is the ability of a system to execute multiple tasks simultaneously.
• Concurrency allows multiple tasks to run concurrently, improving performance and efficiency.

• Concurrency can be achieved through multithreading or multiprocessing.

• Example: A web server handling multiple requests simultaneously using multithreading.
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Q2. Explain Acid principles
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ACID principles are a set of properties that guarantee database transactions are processed reliably.
• Atomicity: Transactions are all or nothing. If one part of the transaction fails, the entire transaction is rolled back.

• Consistency: Transactions bring the database from one valid state to another. All constraints are satisfied.

• Isolation: Transactions are isolated from each other until they are completed.

• Durability: Once...read more
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Basic DSA and android questions

Live coding round for android

Q1. Explain your past experiences?
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It was on mettle, had 3 coding qns, MCQs on DBMS, CN, Aptitude etc

It was on a quote by FB saying everyone wants to become like Musk, it went on for 30 mins

Q1. It was basic behavioral questions
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Arrays, linked list, string

Q1. Difference between python vs java?
Ans. 
Python is a high-level, interpreted language known for its simplicity and readability, while Java is a statically typed, object-oriented language with a strong emphasis on performance and scalability.
• Python is dynamically typed, while Java is statically typed.

• Python is known for its simplicity and readability, making it easier to learn and use for beginners.

• Java is known for its performance and scalability, making it a...read more
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Q2. Scenario based question on past experience, project based questions.
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Aptitude test with logical and reasoning questions and technical questions

Q1. 1.Technical interview questions based on the sql joins ,views and schedulers 2. Interview questions based on the. Net core programming 3.are you comfortable with database or. Net developer? 4.will you le...read more
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Q1. Low Level Design: How to do rate limiting for a platform serving 100K requests per second.
Ans. 
Implement rate limiting for a platform serving 100K requests per second.
• Use a token bucket algorithm to limit the rate of incoming requests.

• Set a maximum number of tokens in the bucket to control the rate.

• Refill the bucket at a constant rate to allow bursts of requests.

• Track the timestamp of the last request to enforce the rate limit.

• Consider using a distributed rate limiting system for scalability.

• Monitor and adjust t...read more
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