ThinkAnalytics Interview Questions and Answers

General aptitude questions and technical questions

Q1. Array data structure based programming question
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Q2. Object Oriented Programming concepts
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Normal Aptitude and Basics of the Computer Core Questions

Q1. Tell about Yourself
Ans. 
I am a software developer with 5 years of experience in developing web applications using Java, Spring Boot, and Angular.
• 5 years of experience in software development

• Proficient in Java, Spring Boot, and Angular

• Strong problem-solving skills

• Experience working in Agile development environment

• Passionate about learning new technologies
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Q2. Write the code abt the right binary tree?
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Q1. Normal Hr Questions
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Basic quantitative, logical reasoning along with few technical questions

Q1. Core subjects on opps, Ds, and resume based
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Q1. Tell me about yourself
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Q1. Describe OOPs with a real world example using your understanding.
Ans. 
OOPs is a programming paradigm based on the concept of objects, which can contain data in the form of fields and code in the form of procedures.
• OOPs focuses on creating objects that interact with each other to solve a problem.

• Encapsulation, inheritance, and polymorphism are key principles of OOPs.

• Example: In a car manufacturing company, a 'Car' object can have properties like 'model', 'color', and methods like 'startEn
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Q2. Programming exercises to demonstrate design and architecture knowledge
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Q1. Questions that will prove your commitment and integrity.
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It was a 35 Questions Aptitude round and 15 Technical Questions.
Since it was an on campus event, It was in my college premises.

The second round was Coding+Technical a F2F round. Mine was lasted for 1 hr 40 mins.

General aptitude questions like numerical problems and logical reasoning were asked. To be answered in 45 minutes. Another 30 minutes were provided to answer technical MCQs based on finding output of given Java code, programming related MCQs, and some database questions

Q1. What is NoSQL? Do you have experience with NoSQL databases?
Ans. 
NoSQL is a type of database that provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases.
• NoSQL stands for 'Not Only SQL' and is a non-relational database management system.

• NoSQL databases are schema-less, allowing for flexibility in data storage and retrieval.

• Examples of NoSQL databases include MongoDB, Cassandra, and Redis.
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Q2. Self intro and projects
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Q3. Explain machine learning and deep learning in layman terms with real-time examples
Ans. 
Machine learning is teaching computers to learn from data and make decisions without being explicitly programmed. Deep learning is a subset of machine learning that uses neural networks to mimic the human brain.
• Machine learning is like teaching a child to recognize different fruits by showing them pictures and telling them the names.

• Deep learning is like teaching a child to recognize different fruits by showing them pi...read more
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Q4. 4 pillars of OOPs with real time examples
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4 pillars of OOPs are Inheritance, Encapsulation, Abstraction, and Polymorphism.
• Inheritance: Child classes inherit attributes and methods from parent classes. Example: Animal -> Dog

• Encapsulation: Bundling data and methods that operate on the data into a single unit. Example: Class with private variables and public methods

• Abstraction: Hiding complex implementation details and showing only necessary features. Example:...read more
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Q5. Why use OOPs? Your proficiency in Java
Ans. 
OOPs allows for better organization, reusability, and flexibility in code. Java is a popular OOP language.
• OOPs promotes code reusability through inheritance and polymorphism

• Encapsulation helps in data hiding and protecting data integrity

• Java supports OOP principles like encapsulation, inheritance, and polymorphism

• OOPs allows for better organization of code into classes and objects
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Q6. Explain some machine learning algorithms that you know
Ans. 
Machine learning algorithms are used to make predictions or decisions based on data.
• Linear Regression: used for predicting continuous values based on input features.

• Logistic Regression: used for binary classification tasks.

• Decision Trees: used for classification and regression tasks, creating a tree-like model of decisions.

• Random Forest: ensemble learning method using multiple decision trees for improved accuracy.

• Suppo...read more
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Q7. Difference between SQL and NoSQL. Which one is better?
Ans. 
SQL is a relational database management system, while NoSQL is a non-relational database management system.
• SQL is table-based, with structured data and predefined schema (e.g. MySQL, PostgreSQL)

• NoSQL is document-based, key-value pairs, wide-column stores, or graph databases, with dynamic schema (e.g. MongoDB, Cassandra)

• SQL is better for complex queries and transactions, while NoSQL is better for large amounts of unstru
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Q8. Sort a list of 0s,1s,2s using brute force and optimized methods. Explain it's time and space complexity
Ans. 
Sort a list of 0s, 1s, 2s using brute force and optimized methods with time and space complexity analysis.
• Brute force method: Count the occurrences of 0s, 1s, and 2s and reconstruct the array accordingly.

• Optimized method: Use Dutch National Flag algorithm to partition the array into three sections based on 0s, 1s, and 2s.

• Time complexity: Brute force - O(n), Optimized - O(n)

• Space complexity: Brute force - O(1), Optimize
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Q9. 3 sum coding question with brute force and optimized solutions with time and space complexity
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Q1. Self intro and family background
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Q2. How to improve biometrics with latest technologies for employee attendance in company
Ans. 
Biometrics for employee attendance can be improved by integrating latest technologies like facial recognition and vein pattern recognition.
• Implement facial recognition technology for accurate and fast attendance tracking.

• Integrate vein pattern recognition for enhanced security and reliability.

• Utilize AI algorithms to continuously improve biometric matching accuracy.

• Explore touchless biometric solutions to promote hygie...read more
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Q3. Tell me about your friends and what qualities you admire in them. How did you inculcate those qualities in yourself?
Ans. 
My friends are supportive, loyal, and ambitious. I admire their positive attitudes and work ethic.
• Supportive - always there to offer help and encouragement

• Loyal - stand by me through thick and thin

• Ambitious - motivated to achieve their goals

• Positive attitude - see the bright side in every situation

• Work ethic - dedicated and hardworking

• Inculcated qualities by surrounding myself with positive influences and emulating the
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Q4. Where do you see yourself in next 10 years?
Ans. 
In the next 10 years, I see myself growing into a senior software engineer role, leading projects and mentoring junior developers.
• Continuing to enhance my technical skills through ongoing learning and certifications

• Taking on more responsibilities in project management and team leadership

• Mentoring and guiding junior developers to help them grow in their careers

• Possibly pursuing a higher degree or specialization in a spe
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Q5. What is your long term and short term goal?
Ans. 
My short term goal is to gain experience and improve my technical skills. My long term goal is to become a senior software engineer and lead a team.
• Short term goal: Gain experience through hands-on projects and learning opportunities

• Short term goal: Improve technical skills by staying updated with latest technologies and tools

• Long term goal: Become a senior software engineer by taking on more challenging projects and r...read more
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