1. Why does the syllabus open by stating that not every AI is a chatbot?
2. Which sequence correctly orders the chatbot processing pipeline?
3. A project needs an assistant whose knowledge must be scoped separately for each client, updated frequently, and traceable to a source document. Which approach fits?
4. What is the practical consequence of an LLM having no memory between turns in a chat?
5. Which review approach does the syllabus recommend for LLM output?
6. Why can connecting a model to search engines, databases or function calls improve its output?
7. What happens when a prompt provides no project context?
8. Which statements about prompting patterns and techniques are correct? Select all that apply.
9. Which benefit of prompting patterns does the syllabus classify as methodological?
10. A model recommends a constraint involving a network protocol deprecated two years before its training cut-off was reached. Which risk is this?
11. While drafting requirements for a mobile app, an AI proposes features for a desktop version that was never planned, and the team spends days analysing them. Which risk is this, and what causes it?
12. Under the transparency obligations described in the syllabus, which of these would most likely require disclosure or human editorial responsibility?
13. Designing a prompt template for acceptance criteria that requires performance thresholds, then rejecting any generated requirement that is not testable, illustrates which role?
14. What does the syllabus say building stakeholder trust requires?
15. What does AI transcription enable a Requirements Engineer to do during an elicitation session?
16. Which capabilities does AI bring to glossary work? Select all that apply.
17. What does the syllabus identify as AI's contribution to analysing informal channels such as chats and emails?
18. Why does the syllabus caution against adopting AI-suggested requirements gaps uncritically?
19. Which natural-language pitfalls can AI help eliminate when formulating requirements?
20. Beyond automated pattern matching, what does ensuring true consistency across a specification require?
21. Which statement about AI-assisted prioritisation is correct?
22. What does the syllabus conclude about the status of all AI-generated output?