BigInfo Labs Senior Software Developer Interview Questions and Answers

Q1. Mutable and Non-Mutable data type.
Ans. 
Mutable data types can be changed after creation, while non-mutable data types cannot be changed.
• Mutable data types in Python include lists and dictionaries.

• Non-mutable data types in Python include tuples and strings.

• Changing a mutable data type will modify the original object, while changing a non-mutable data type will create a new object.
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Q2. Write code for decorator.
Ans. 
A decorator is a design pattern that allows behavior to be added to individual objects, either statically or dynamically, without affecting the behavior of other objects.
• Decorators are functions that take another function and extend its behavior without explicitly modifying it.

• They are commonly used in Python to add functionality to existing functions or classes.

• Example: Adding logging to a function using a decorator.
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Print pattern and recursive program

Q1. Technical question ask link c#,Api,mvc, Angular ,core.net
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Q1. Introduction and educational , work experience
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DP graphs strings it was good

Q1. Reverse a linkded list
Ans. 
Reverse a linked list by changing the direction of pointers
• Start with three pointers: current, previous, and next

• Iterate through the list, updating pointers to reverse the direction

• Return the new head of the reversed list
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Q2. Print fibonacci series
Ans. 
The Fibonacci series is a sequence of numbers where each number is the sum of the two preceding ones.
• Start with two variables initialized to 0 and 1

• Loop through desired number of iterations, adding the previous two numbers to get the next number

• Print or store each number in the series
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Q1. Snake and ladder lld
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Q2. Spring question on annotations
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Q1. Find k closest elements
Ans. 
Find k closest elements in an array
• Sort the array based on the absolute difference between each element and the target element

• Return the first k elements from the sorted array
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Q2. K Closest elements
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Q1. How do you define clean code?
Ans. 
Clean code is well-organized, easy to read, and maintainable code that follows best practices.
• Clean code is easy to read and understand by other developers.

• It follows consistent naming conventions for variables, functions, and classes.

• Clean code is well-organized with proper indentation and spacing.

• It avoids unnecessary complexity and duplication.

• Clean code is modular and follows the single responsibility principle.

• Exa...read more
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Q2. How to better test your code?
Ans. 
To better test your code, use a combination of unit tests, integration tests, regression tests, and automated testing.
• Write unit tests to test individual components or functions in isolation.

• Perform integration tests to test how different components work together.

• Implement regression tests to ensure that new code changes do not break existing functionality.

• Utilize automated testing tools to run tests quickly and effici...read more
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Basic aptitude questions

Strings and dynamic programming questions were there. total 3 questions

Cloud computing and its scalability

Q1. OOPs basics Projects 2 coding questions
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Total 4 questions are asked one easy two medium and one hard

Q1. More emphasis on dbms and oops
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Q2. Questions on similar to quick sort and tree balance and linked list question
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Q3. Projects related questions
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Q1. Some basic questions of sql
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Q2. Some questions related to arrays
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Q3. Projects i worked detail explanation
Ans. 
I have worked on various projects including a web application for a retail company and a mobile app for a fitness startup.
• Developed a web application using React and Node.js for a retail company to manage their inventory and sales.

• Created a mobile app using React Native for a fitness startup to track workouts and progress.

• Collaborated with a team to build a chatbot using Dialogflow and Node.js for a healthcare company.

• ...read more
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Q1. Basic hr questions asked
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Q2. More emphasis on technologies and projects i worked
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