Head Digital Works Software Development Engineer 1 Interview Questions and Answers

Q1. 2 DSA questions was asked and Java Questions
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Q1. Questions on Kafka, Scalability
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Q1. Questions releated to past projects and Cassandra
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Q1. Some C++ 14/17 questions and OOPs concepts
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Q2. DSA questions based for basic game logics.
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Q1. Advanced OOPs and C++ questions
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Q2. DSA coding questions based on Stacks and Linked list
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Q1. Called me to Noida for a F2F HR round. I wasn’t given any Travel allowance. CTC negotiation was brutal. They were not willing to give me even a 5% hike on my previous salary.The HR and the Team said they’d...read more
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Q2. A month passed by. Sometimes they’d say the technical team who took your interview wasn’t available so that the CTC discussion could be further done. And somedays they’d just delay by saying we’d get back ...read more
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Q3. After a month of wasting my time. The HR finally called and said they rejected me based on the CTC. And are not even willing to negotiate because of my not so well performance in the technical rounds.
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Q1. What are the pillars of OOPS?
Ans. 
The pillars of OOPS are Inheritance, Encapsulation, Abstraction, and Polymorphism.
• Inheritance allows a class to inherit properties and behavior from another class.

• Encapsulation restricts access to certain components within a class, protecting the data from outside interference.

• Abstraction hides the complex implementation details and only shows the necessary features to the user.

• Polymorphism allows objects to be treated...read more
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Basic Aptitude and Computer Questions

Sudoku puzzle in Python

Q1. HR questions and Technical Basic questions on python
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Q2. Django Meta Class, Python list vs tuple , set vs frozen set
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1 hour, 22 questions related to Java Spring Boot, SQL, and Hibernate, also one DSA Question, implementation of a card board game.

One hour aptitude test based on the mathematics ,logical reasoning.

Q1. One basic question on the language you know and one SQL is asked
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Q2. SQL query questions
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Q1. Merge sorted arrays
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Q1. Checking cache using python
Ans. 
Use Python's built-in 'functools' module to check cache for function results.
• Import 'functools' module

• Use 'lru_cache' decorator to cache function results

• Specify 'maxsize' parameter to limit cache size

• Use 'cache_info()' method to get cache statistics
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