Easy-level LLM and Agentic AI interview questions covering fundamentals, prompting, and basic agent concepts. Q1: What is a Large Language Model (LLM)? Answer: Definition: Neural network trained on massive text data to predict next tokens, enabling text generation and understanding. graph TB A[Input Text] --> …

Easy-level protocol and design interview questions covering fundamental concepts. Q1: What is a network protocol and why is it important? Answer: Definition: A set of rules and conventions for communication between network entities. graph TB A[Protocol] --> B[Defines Format<br/>Message structure] A --> C[Defines …

Easy-level research interview questions covering fundamental research concepts and methodologies. Q1: What is the scientific method and how do you apply it to technical research? Answer: graph TB A[Observation/<br/>Problem] --> B[Research<br/>Question] B --> C[Hypothesis] C --> D[Design<br/>Experiment] D --> E[Collect …

Easy-level scalability interview questions covering fundamental scaling concepts. Q1: What is scalability and why does it matter? Answer: Definition: System's ability to handle increased load by adding resources. graph LR A[Small Load<br/>100 users] --> B[System] B --> C[Response Time<br/>100ms] D[Large Load<br/>10,000 …

Easy-level system design interview questions covering fundamental system design concepts and simple applications. Q1: Design a URL shortener (like bit.ly). Answer: Requirements Shorten long URLs to short codes Redirect short URLs to original Track click statistics High availability High-Level Design graph TB U[User] …

Easy-level technical due diligence interview questions covering fundamental assessment areas. Q1: What is technical due diligence and why is it important? Answer: Definition: Systematic evaluation of a company's technology assets, infrastructure, and capabilities. graph TB A[Technical Due<br/>Diligence] --> …