ARTIBA ARTIFICIAL INTELLIGENCE ENGINEER
CERTIFICATION EXAM PAPER 2026
COMPREHENSIVE STUDY GUIDE WITH SOLVED
Q&A
◉ Primary goal of AI. Answer: To enable machines to mimic human
intelligence.
◉ Narrow AI. Answer: AI that can perform specific tasks but lacks
general intelligence.
◉ Machine Learning. Answer: A method where machines learn from
data without explicit programming.
◉ Example of supervised learning. Answer: Predicting house prices
using labeled data.
◉ AI-powered application. Answer: Google Translate.
◉ Algorithm for classification problems. Answer: Decision Trees.
,◉ Natural Language Processing (NLP). Answer: A method to process
and understand human language.
◉ Large Language Model (LLM). Answer: A deep learning model
trained on vast amounts of text data.
◉ Example of an LLM. Answer: ChatGPT.
◉ Generative AI. Answer: AI systems that can generate text, images,
and videos.
◉ Advantage of AI chatbots. Answer: They work 24/7.
◉ Not a major challenge in AI. Answer: Unlimited computational
resources.
◉ Key component of training AI models. Answer: High-quality data.
◉ Company that developed ChatGPT. Answer: OpenAI.
◉ Chatbot. Answer: A software that mimics human conversation.
◉ AI ethics concern. Answer: AI bias.
, ◉ Deep learning. Answer: A subset of machine learning using neural
networks.
◉ Purpose of AI in recommendation systems. Answer: To analyze
user behavior and suggest relevant content.
◉ Prompt engineering. Answer: The process of designing effective
prompts for AI models.
◉ Importance of prompt engineering. Answer: It is crucial for
optimizing AI model performance.
◉ AI model improvement. Answer: It helps AI models generate
better responses
◉ Storage capacity. Answer: It increases storage capacity
◉ AI model speed. Answer: It makes AI models faster
◉ Hardware design. Answer: It helps with hardware design
◉ Prompt. Answer: A command given to an AI model
CERTIFICATION EXAM PAPER 2026
COMPREHENSIVE STUDY GUIDE WITH SOLVED
Q&A
◉ Primary goal of AI. Answer: To enable machines to mimic human
intelligence.
◉ Narrow AI. Answer: AI that can perform specific tasks but lacks
general intelligence.
◉ Machine Learning. Answer: A method where machines learn from
data without explicit programming.
◉ Example of supervised learning. Answer: Predicting house prices
using labeled data.
◉ AI-powered application. Answer: Google Translate.
◉ Algorithm for classification problems. Answer: Decision Trees.
,◉ Natural Language Processing (NLP). Answer: A method to process
and understand human language.
◉ Large Language Model (LLM). Answer: A deep learning model
trained on vast amounts of text data.
◉ Example of an LLM. Answer: ChatGPT.
◉ Generative AI. Answer: AI systems that can generate text, images,
and videos.
◉ Advantage of AI chatbots. Answer: They work 24/7.
◉ Not a major challenge in AI. Answer: Unlimited computational
resources.
◉ Key component of training AI models. Answer: High-quality data.
◉ Company that developed ChatGPT. Answer: OpenAI.
◉ Chatbot. Answer: A software that mimics human conversation.
◉ AI ethics concern. Answer: AI bias.
, ◉ Deep learning. Answer: A subset of machine learning using neural
networks.
◉ Purpose of AI in recommendation systems. Answer: To analyze
user behavior and suggest relevant content.
◉ Prompt engineering. Answer: The process of designing effective
prompts for AI models.
◉ Importance of prompt engineering. Answer: It is crucial for
optimizing AI model performance.
◉ AI model improvement. Answer: It helps AI models generate
better responses
◉ Storage capacity. Answer: It increases storage capacity
◉ AI model speed. Answer: It makes AI models faster
◉ Hardware design. Answer: It helps with hardware design
◉ Prompt. Answer: A command given to an AI model
