1. Which of the following is NOT one of the five AI technology families the syllabus lists?
2. In the chatbot processing pipeline, what happens during pre-processing?
3. An LLM generates a fluent, well-structured explanation of a complex domain concept. What does this demonstrate?
4. Which statement about the determinism of LLM output is correct?
5. What do embeddings enable in Requirements Engineering?
6. Which of these belong to the user context rather than the system context?
7. A Requirements Engineer supplies three previously written user stories before asking the model to draft five more. Which technique is being used, and why does it work?
8. Which risk is illustrated by a requirement stating "The system shall always deliver results in real time"?
9. Anonymised patient interview transcripts are sent to a cloud summarisation service outside the EU, and a data protection authority later finds individuals are identifiable from symptom and date combinations. Which risk does this illustrate?
10. Which risks arise from the technical characteristics of the model rather than from how it is used in a process? Select all that apply.
11. What does the syllabus say about the Requirements Engineer's role when AI is introduced?
12. A Requirements Engineer recommends scheduled batch processing instead of continuously running an LLM to re-classify requirements in real time. Which responsibility does this illustrate?
13. Which three areas within elicitation does the syllabus identify as supported by AI?
14. AI is used to classify information from stakeholder lists, landscape diagrams and org charts into stakeholders, documents, systems, processes and events. What is being identified?
15. What must a Requirements Engineer do with AI-generated glossary suggestions where the same term is used for two different concepts?
16. Why must transcribed workshop output be reviewed rather than extracted mechanically?
17. An AI proposes fourteen requirements based on comparing a specification against domain checklists. What must the Requirements Engineer establish?
18. What constraint applies to AI-generated UML and BPMN models?
19. An AI-generated requirement reads "The system shall store session data in an in-memory cache." Which CPRE principle is most directly violated?
20. Which two requirements management tasks does the syllabus identify as supported by AI?