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. Key Characteristics: Large: Billions …

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. Why Important: Standardization: Different systems can communicate Interoperability: …

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: Application to Technical Research: Observation: System is slow Question: What causes the slowdown? Hypothesis: Database queries are …

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. Why It Matters: Handle growth without rewriting Maintain performance under load Cost-effective resource …

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 Database Schema URL …

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. Why Important: Identify technical risks Validate claims …