CAIC Cheat Sheet 2026

The 30 highest-yield CAIC facts, distilled from real exam questions. Print it, save it as a PDF, or study it here — free, no sign-up.

1. What is an SLA in CAIC technology? → A formal agreement defining expected service performance standards
2. A company trains an AI model using customer purchase data without explicit consent. Which compliance violation is most directly applicable? → Violation of data privacy regulations such as CCPA or GDPR
3. What is 'hallucination' in the context of large language models? → Model generating confident but factually incorrect outputs
4. What is the principle of least privilege in CAIC technology? → Users get only the minimum access needed for their role
5. What is machine learning in the context of AI? → Systems that learn and improve from data
6. What is scope creep in CAIC project management? → Uncontrolled scope expansion without adjusting time, cost, or resources
7. Why is AI scalability important for businesses? → It supports efficient growth and adapts to increasing demands
8. An AI consultant is helping a retailer measure the success of a newly deployed AI-powered product recommendation engine. Which business metric is MOST relevant? → Increase in average order value and improvement in conversion rate
9. What is the role of an AI consultant in a business? → To provide insights, strategy, and technical expertise
10. Why is documentation important in CAIC technology? → It ensures knowledge transfer, troubleshooting, and operational continuity
11. Which US federal framework provides guidelines for managing AI risks in organizations? → NIST AI Risk Management Framework (AI RMF)
12. What is multi-factor authentication in CAIC security? → Requiring two or more verification factors for access
13. What is the role of regression in machine learning? → It predicts continuous numerical values
14. What does 'zero-shot prompting' mean when working with large language models? → Asking the model to perform a task without any examples in the prompt
15. What is the function of reinforcement learning in AI? → To train models through rewards and penalties for actions
16. Why is accountability crucial in AI systems? → Accountability ensures responsibility for AI's decisions
17. What is the standard formula for calculating AI Return on Investment (ROI)? → (AI Benefits - AI Costs) / AI Costs × 100
18. What is the significance of fairness in AI? → Fairness ensures AI treats all groups equally
19. What is the purpose of data analysis in CAIC practice? → Transforming raw data into insights for informed decision-making
20. What does TF-IDF measure in text analysis? → Word importance relative to a document corpus
21. Which model architecture introduced the concept of self-attention and became the foundation for large language models? → Transformer
22. When prioritizing AI use cases for maximum business value, which framework is most effective for an AI consultant? → Business Value vs. Implementation Feasibility matrix
23. What is deep learning in AI? → Using neural networks with many layers to analyze data
24. What is a neural network in AI? → A set of algorithms that recognize patterns, inspired by the brain
25. Which type of AI business value is MOST difficult to quantify in a traditional financial business case? → Competitive advantage and long-term strategic positioning
26. What does data integrity mean in CAIC practice? → Accuracy, consistency, and reliability of data throughout its lifecycle
27. Which metric best evaluates how well a chatbot resolves user queries without human escalation? → Containment rate
28. Which NLP technique splits text into individual words or tokens for further processing? → Tokenization
29. What is a key ethical consideration when implementing AI systems? → Ensuring fairness, transparency, and accountability
30. What are the five process groups in CAIC project management? → Initiating, Planning, Executing, Monitoring & Controlling, Closing