PCEI– CERTIFIED ENTRY LEVEL AI SPECIALIST WITH PYTHON QUESTION BANK STUDY GUIDE (EXAM CODE: PCEI-30-01) If you’re preparing for the PCEI™ – Certified Entry-Level AI Specialist with Python exam, this question bank is built to help you practice with purpose, strengthen real exam skills, and improve accuracy under time pressure. It is fully aligned to the PCEI-30-01 exam and the latest published syllabus structure and weightings. What you get in this book 10 full-length practice tests modeled on the exam’s single- and multiple-select, scenario-based style 360 foundational questions designed to build exam-ready confidence 350+ exam focused tips embedded into explanations to reinforce high-value ideas 340+ caution alerts to prevent common mistakes that cost marks concise and clear explanations so you learn while you practice Fully updated for PCEI-30-01 (active version) The PCEI exam includes 36 items and a 75% passing requirement , using scenario-based single- and multiple-select questions (and may include interactive item types). This book is written to match those expectations: practical AI reasoning, foundational Python thinking, and responsible AI decision-making you can actually apply. Who this book is for beginners starting AI with Python who want a structured path students and career changers targeting an entry-level AI credential junior analysts / developers who want exam-focused repetition across AI basics, ML, and safe AI usage anyone who prefers exam-style practice over scattered notes and long theory Official syllabus coverage (with weightage) Artificial Intelligence Fundamentals – 14.0% Build a strong base in AI terminology, narrow vs general AI, AI system components, and where AI fits (and doesn’t). Machine Learning Fundamentals – 16.5% Practice supervised/unsupervised/reinforcement learning basics, workflows, and interpreting simple model outcomes and metrics. Data Handling, Analysis, and Visualization – 16.5% Train on data quality, cleaning basics, simple Python/pandas-style operations, and reading/interpreting visualizations. Neural Networks, Deep Learning, and Generative AI – 22.5% Understand neural network fundamentals, deep learning use cases, generative AI concepts, and prompt engineering basics. Responsible AI, Ethics, and Critical Thinking – 16.5% Strengthen your ability to spot bias, privacy risks, unsafe outputs, and apply critical thinking before trusting results. AI Projects, Collaboration, and Communication – 14.0% Learn to identify suitable AI problems, consider constraints and costs, and communicate results clearly to stakeholders. Why this question bank works This isn’t just “more questions.” It’s structured repetition that mirrors the way PCEI tests you: short workplace-style scenarios, realistic AI decision points, and answer choices that reward careful reading and correct reasoning. You’ll practice both single-select and multi-select decision-making, learn faster through targeted explanations, and avoid traps using the integrated tips and caution alerts. If you want a PCEI-30-01-aligned practice resource that builds real entry-level AI capability—not memorization—this book is your preparation companion.