10+ VVDN Technologies Interview Questions and Answers

Designing algorithms and puzzles requires creativity and logical thinking. DBMS knowledge is essential for efficient data management.

• Algorithm design involves breaking down complex problems into smaller, manageable steps.

• Puzzle design requires creativity and the ability to think outside the box.

• DBMS knowledge is essential for efficient data management and retrieval.

• Understanding data structures and algorithms is crucial for designing efficient DBMS systems.

You can subtract 10 from 100 ten times.

• Subtract 10 from 100 once to get 90.

• Subtract 10 from 90 to get 80.

• Repeat this process until you reach 0.

• You can subtract 10 from 100 ten times in total.

A class is a blueprint for creating objects, which are instances of a class. Objects are instances of a class with specific attributes and behaviors.

• Class: Blueprint for creating objects

• Object: Instance of a class with specific attributes and behaviors

• Differentiation: Class is like a template, object is a specific instance of that template

Valid parenthesis time and space complexity and past projects

• Approaches for checking valid parenthesis include using a stack or recursion

• Time complexity for stack approach is O(n) and space complexity is O(n)

• Time complexity for recursion approach is O(2^n) and space complexity is O(n)

• Past projects may include developing algorithms for string manipulation or parsing

Pillars of OOPs include Inheritance, Encapsulation, Abstraction, and Polymorphism.

• Inheritance: Allows a class to inherit properties and behavior from another class.

• Encapsulation: Bundling data and methods that operate on the data into a single unit.

• Abstraction: Hiding the complex implementation details and showing only the necessary features of an object.

• Polymorphism: Ability of an object to take on many forms.

Naive algorithm is a simple approach to solving a problem without considering efficiency.

• Naive algorithms are straightforward and easy to implement.

• They may not be the most efficient solution for complex problems.

• Examples include linear search for finding an element in an array and bubble sort for sorting elements.

Program to find duplicate numbers and prime numbers in an array of strings.

• Iterate through the array to find duplicate numbers using a hashmap or set.

• Check each number in the array for primality using a function that checks divisibility.

• Store the duplicate numbers and prime numbers in separate arrays for further processing.