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Time complexity measures algorithm efficiency, impacting performance based on input size and resource usage.
Time complexity helps predict how an algorithm's runtime grows with input size, e.g., O(n) vs. O(n^2).
Algorithms with lower time complexity (like O(log n)) are generally more efficient than those with higher complexity (like O(n^2)).
For example, binary search (O(log n)) is faster than linear search (O(n)) fo...
The .NET Framework is a software development platform for building and running applications on Windows.
.NET Framework provides a large class library known as the Framework Class Library (FCL).
It supports multiple programming languages, including C#, VB.NET, and F#.
The Common Language Runtime (CLR) manages the execution of .NET programs, providing services like garbage collection.
It enables the development of Windo...
The Common Language Runtime (CLR) is the execution engine for .NET applications, providing services like memory management and security.
CLR manages the execution of .NET programs, converting Intermediate Language (IL) code into machine code.
It provides memory management through garbage collection, automatically reclaiming memory from unused objects.
CLR enforces type safety, ensuring that code adheres to defined da...
AI simulates human intelligence, while ML enables systems to learn from data and improve over time.
AI encompasses various technologies like natural language processing (NLP) and computer vision.
Machine learning is a subset of AI focused on algorithms that learn from data, such as decision trees and neural networks.
Deep learning, a type of ML, uses neural networks with many layers to analyze complex data, like imag...
AI is the broader concept of machines simulating human intelligence, while ML is a subset focused on learning from data.
AI encompasses various technologies like natural language processing, robotics, and computer vision.
Machine learning specifically refers to algorithms that improve through experience, such as decision trees and neural networks.
Example of AI: A virtual assistant like Siri that understands voice co...
Discussing a project that showcases full stack development skills and technologies used.
Developed a web application using React for the frontend and Node.js for the backend.
Implemented RESTful APIs to handle data exchange between client and server.
Used MongoDB for database management, ensuring efficient data storage and retrieval.
Integrated user authentication with JWT for secure access control.
Deployed the applic...
Sales Inbound refers to leads generated through customer interest, while Outbound involves proactive outreach to potential customers.
Inbound Sales: Attracts customers through content marketing, SEO, and social media. Example: A blog post that drives traffic.
Outbound Sales: Involves cold calling, email campaigns, and direct outreach. Example: A sales rep contacting a list of potential clients.
Inbound leads are ofte...
Designing a modular Android app involves clear architecture, component separation, and efficient communication between modules.
Use a clean architecture approach, separating presentation, domain, and data layers.
Implement feature modules to encapsulate specific functionalities, e.g., a user profile module.
Utilize dependency injection frameworks like Dagger or Hilt for managing dependencies between modules.
Adopt a m...
Message delivery guarantees can be managed using techniques like acknowledgments, retries, and idempotency.
Use acknowledgments: Ensure the sender receives confirmation that the message was received successfully.
Implement retries: If a message fails to deliver, automatically retry sending it after a specified interval.
Leverage idempotency: Design your message processing to handle duplicate messages without adverse ...
Designing a high throughput, fault-tolerant system involves scalability, redundancy, and efficient resource management.
Use microservices architecture to isolate services and improve scalability.
Implement load balancing to distribute traffic evenly across servers.
Utilize message queues (e.g., RabbitMQ, Kafka) for asynchronous processing.
Incorporate database replication and sharding for data availability and perform...
I appeared for an interview in May 2025, where I was asked the following questions.
Designing a modular Android app involves clear architecture, component separation, and efficient communication between modules.
Use a clean architecture approach, separating presentation, domain, and data layers.
Implement feature modules to encapsulate specific functionalities, e.g., a user profile module.
Utilize dependency injection frameworks like Dagger or Hilt for managing dependencies between modules.
Adopt a micros...
I appeared for an interview in May 2025, where I was asked the following questions.
Sales Inbound refers to leads generated through customer interest, while Outbound involves proactive outreach to potential customers.
Inbound Sales: Attracts customers through content marketing, SEO, and social media. Example: A blog post that drives traffic.
Outbound Sales: Involves cold calling, email campaigns, and direct outreach. Example: A sales rep contacting a list of potential clients.
Inbound leads are often war...
Time complexity measures algorithm efficiency, impacting performance based on input size and resource usage.
Time complexity helps predict how an algorithm's runtime grows with input size, e.g., O(n) vs. O(n^2).
Algorithms with lower time complexity (like O(log n)) are generally more efficient than those with higher complexity (like O(n^2)).
For example, binary search (O(log n)) is faster than linear search (O(n)) for lar...
I am proficient in multiple programming languages, with a focus on Python, Java, and JavaScript for various applications.
Python: Developed web applications using Flask and Django.
Java: Built Android applications and backend services with Spring Boot.
JavaScript: Created interactive front-end features using React and Node.js.
I appeared for an interview in Dec 2024, where I was asked the following questions.
Unity's ECS & C# enhance performance by optimizing data management and leveraging multi-threading for better resource utilization.
ECS (Entity Component System) separates data from behavior, allowing for better memory layout and cache efficiency.
Data-oriented design minimizes overhead by focusing on how data is structured and accessed, improving CPU cache usage.
ECS enables parallel processing, allowing multiple syst...
Memory leaks in Unity can lead to performance issues and crashes, often caused by improper resource management.
Use the Unity Profiler to identify memory usage and leaks.
Avoid using static variables that hold references to objects unnecessarily.
Ensure that event subscriptions are properly unsubscribed to prevent lingering references.
Use 'Destroy()' method to remove GameObjects and free up memory.
Check for unreferenced a...
I appeared for an interview before Jun 2024, where I was asked the following questions.
JSX is a syntax extension for JavaScript that allows writing HTML-like code within React components, enhancing readability and development speed.
JSX stands for JavaScript XML, enabling developers to write HTML structures in JavaScript files.
It allows embedding expressions within curly braces, e.g., <h1>{title}</h1>.
JSX is transpiled to JavaScript using tools like Babel, making it browser-compatible.
It impro...
React manages forms using controlled and uncontrolled components, enabling dynamic input handling and state management.
Controlled Components: Inputs are controlled by React state. Example: <input value={this.state.value} onChange={this.handleChange} />
Uncontrolled Components: Inputs maintain their own state. Example: <input defaultValue='initial' ref={input => this.input = input} />
Form Handling: Use onS...
posted on 11 Jun 2025
I appeared for an interview before Jun 2024, where I was asked the following questions.
AI simulates human intelligence, while ML enables systems to learn from data and improve over time.
AI encompasses various technologies like natural language processing (NLP) and computer vision.
Machine learning is a subset of AI focused on algorithms that learn from data, such as decision trees and neural networks.
Deep learning, a type of ML, uses neural networks with many layers to analyze complex data, like image and...
AI is the broader concept of machines simulating human intelligence, while ML is a subset focused on learning from data.
AI encompasses various technologies like natural language processing, robotics, and computer vision.
Machine learning specifically refers to algorithms that improve through experience, such as decision trees and neural networks.
Example of AI: A virtual assistant like Siri that understands voice command...
I appeared for an interview before Jun 2024, where I was asked the following questions.
Designing a high throughput, fault-tolerant system involves scalability, redundancy, and efficient resource management.
Use microservices architecture to isolate services and improve scalability.
Implement load balancing to distribute traffic evenly across servers.
Utilize message queues (e.g., RabbitMQ, Kafka) for asynchronous processing.
Incorporate database replication and sharding for data availability and performance.
...
Message delivery guarantees can be managed using techniques like acknowledgments, retries, and idempotency.
Use acknowledgments: Ensure the sender receives confirmation that the message was received successfully.
Implement retries: If a message fails to deliver, automatically retry sending it after a specified interval.
Leverage idempotency: Design your message processing to handle duplicate messages without adverse effec...
I appeared for an interview before Jun 2024, where I was asked the following questions.
The .NET Framework is a software development platform for building and running applications on Windows.
.NET Framework provides a large class library known as the Framework Class Library (FCL).
It supports multiple programming languages, including C#, VB.NET, and F#.
The Common Language Runtime (CLR) manages the execution of .NET programs, providing services like garbage collection.
It enables the development of Windows ap...
The Common Language Runtime (CLR) is the execution engine for .NET applications, providing services like memory management and security.
CLR manages the execution of .NET programs, converting Intermediate Language (IL) code into machine code.
It provides memory management through garbage collection, automatically reclaiming memory from unused objects.
CLR enforces type safety, ensuring that code adheres to defined data ty...
I appeared for an interview before Jun 2024, where I was asked the following questions.
Discussing a project that showcases full stack development skills and technologies used.
Developed a web application using React for the frontend and Node.js for the backend.
Implemented RESTful APIs to handle data exchange between client and server.
Used MongoDB for database management, ensuring efficient data storage and retrieval.
Integrated user authentication with JWT for secure access control.
Deployed the application...
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I applied via Referral and was interviewed before Nov 2020. There were 3 interview rounds.
Some of the top questions asked at the Krazio Cloud interview -
The duration of Krazio Cloud interview process can vary, but typically it takes about less than 2 weeks to complete.
based on 9 interview experiences
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