GenAI Core: Generative AI — A Comprehensive MCQ Practice Guide

GenAI Core: Generative AI — A Comprehensive MCQ Practice Guide is a concept-focused learning and revision resource designed to strengthen understanding of modern Generative AI through 400 original multiple-choice questions with answers and concise explanations. Rather than emphasizing memorization, the book examines the principles, architectures, training methods and engineering decisions that underpin contemporary Generative AI systems. Questions progress from foundational concepts to advanced technical and research-oriented topics and are designed to test definitions, mechanisms, trade-offs, system-design choices, evaluation reasoning and practical application. Major areas covered include Generative AI foundations, neural networks and transformers, large language models and training, tokenization and embeddings, fine-tuning and adaptation, Retrieval-Augmented Generation (RAG), knowledge systems, prompt engineering, agentic systems, multimodal AI, model evaluation, deployment and responsible AI. Each question provides four alternatives, the correct answer and a concise explanation intended to reinforce the underlying concept. The question bank is deliberately organised around distinct concepts to minimise artificial repetition and provide meaningful coverage of the subject. The book is suitable for undergraduate and postgraduate students, faculty members, researchers, certification candidates, technical-interview aspirants and professionals entering the field of Generative AI. It can be used for structured self-study, classroom revision, examination preparation and professional upskilling.