Addverb Technologies Robotics Engineer Interview Questions and Answers

Q1. Good URI design
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Q2. Accessing id parameter in URL
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Accessing id parameter in URL involves parsing the URL and extracting the id value.
• Use the window.location object to access the URL of the current page.

• Parse the URL using methods like split() or URLSearchParams to extract the id parameter.

• Example: If the URL is 'http://example.com/page?id=123', you can access the id value by parsing the URL.
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Q1. Salary expectations
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Q2. Plan of growing up technically
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Q1. Why do you want to join this company?
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I admire your company's innovative approach and commitment to quality, which aligns with my career goals and values as a developer.
• Your company's focus on cutting-edge technology, like AI and machine learning, excites me as I want to work on impactful projects.

• I appreciate your commitment to professional development, such as mentorship programs, which will help me grow my skills.

• The collaborative culture here fosters c...read more
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Q2. What are the sql constraints?
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SQL constraints are rules applied to table columns to enforce data integrity and validity.
• PRIMARY KEY: Uniquely identifies each record in a table. Example: `CREATE TABLE Users (UserID INT PRIMARY KEY);`

• FOREIGN KEY: Ensures referential integrity between two tables. Example: `FOREIGN KEY (UserID) REFERENCES Users(UserID)`.

• UNIQUE: Ensures all values in a column are different. Example: `CREATE TABLE Users (Email VARCHAR(25...read more
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It was a combination of Maths and Electronics basics.

Q1. Introduce yourself?
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I am a recent graduate with a degree in Computer Science and a passion for coding and problem-solving.
• Recent graduate with a degree in Computer Science

• Passionate about coding and problem-solving

• Strong communication and teamwork skills
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Q2. Tell me about your projects?
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I have worked on various projects including a web development project, a data analysis project, and a machine learning project.
• Developed a website for a local business using HTML, CSS, and JavaScript.

• Conducted data analysis on customer feedback data to identify trends and make recommendations for improvement.

• Implemented a machine learning algorithm to predict customer churn for a telecom company.
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Q1. Difference between association aggregation and composition
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Association, aggregation, and composition are types of relationships between classes in object-oriented programming.
• Association is a relationship where two classes are connected, but not dependent on each other.

• Aggregation is a type of association where one class contains another class, but the contained class can exist independently.

• Composition is a stronger form of aggregation where the contained class is part of the
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Q1. C sharp basic concept
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Q2. Explain Oops concept
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Object-oriented programming paradigm focusing on objects and classes for code organization and reusability.
• Encapsulation: Bundling data and methods that operate on the data into a single unit (object)

• Inheritance: Ability of a class to inherit properties and behavior from another class

• Polymorphism: Ability to present the same interface for different data types
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Q3. Explains oops type
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Object-oriented programming paradigm that focuses on objects and classes
• Encapsulation: bundling data and methods that operate on the data into a single unit (class)

• Inheritance: ability of a class to inherit properties and behavior from another class

• Polymorphism: ability to present the same interface for different data types

• Abstraction: hiding the complex implementation details and showing only the necessary features
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Oop s concept all give simple program noted task

Asked to create a login form using MVVM architecture with frontend WPF and backend C#

Q1. 1. Basic OOP Concepts 2. Difference between structure and class in terms of constructor 3. Can members of structure be defined as private 4. What's lambda function and it's real life use case 5. Difference...read more
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Q2. 6. What's O(n) in time and space complexity
Ans. 
O(n) refers to linear time and space complexity.
• O(n) means that the time or space required by an algorithm grows linearly with the size of the input.

• It implies that the algorithm's performance is directly proportional to the input size.

• For example, if an algorithm takes 10 seconds to process 100 elements, it would take 20 seconds to process 200 elements.

• O(n) complexity is considered efficient and desirable in most case
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