Sunovaa Tech Interview Questions and Answers

Q1. All about core java
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Q2. Front end and My Sql
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Q1. What is oops in python
Ans. 
Object-oriented programming (OOP) is a programming paradigm based on the concept of objects, which can contain data and code.
• OOP allows for organizing code into reusable components called classes.

• In Python, classes are defined using the 'class' keyword.

• Classes can have attributes (variables) and methods (functions).

• Inheritance allows classes to inherit attributes and methods from other classes.

• Polymorphism allows objec...read more
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Q2. What is ternary operant in python
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Ternary operator in Python is a conditional expression that evaluates to a value based on a condition.
• Ternary operator is written as 'value_if_true if condition else value_if_false'

• It is a shorthand way of writing an if-else statement in a single line

• Example: x = 10 if a > b else 20
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The aptitude test mainly covered logical reasoning, quantitative aptitude, and basic programming concepts. Questions were of moderate difficulty, with some time-based problem-solving challenges. Practicing common aptitude topics like puzzles, numerical ability, and coding fundamentals can help in preparation.

The group discussion round focused on general topics related to technology, current affairs, and workplace scenarios. The evaluators were looking for clarity of thought, communication skills, and how well candidates could present their points while engaging with others. Staying confident and actively participating helped in getting selected.

Q1. What experience do you have in this role?
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Q2. What tools or technologies are you comfortable using?
Ans. 
I am proficient in various data analysis tools, including Excel, SQL, Python, and visualization software like Tableau.
• Excel: Advanced functions, pivot tables, and data visualization.

• SQL: Writing complex queries for data extraction and manipulation.

• Python: Utilizing libraries like Pandas and NumPy for data analysis.

• Tableau: Creating interactive dashboards for data visualization.

• R: Statistical analysis and data visualiza
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