1. Which three areas within elicitation does the syllabus identify as places where AI provides effective support?
2. What are the five core aspects of system context that AI can help identify?
3. A Requirements Engineer enters a domain with no existing stakeholder lists, landscape diagrams or process descriptions. Which mode of AI support for system context applies?
4. Which glossary tasks can AI support? Select all that apply.
5. According to the syllabus, what is the main benefit of AI transcription during an elicitation session?
6. Beyond producing plain text, what can AI transcription services add?
7. Why must transcribed elicitation output still be reviewed by a human?
8. What can AI detect when analysing informal channels such as emails, chats and collaboration threads?
9. AI compares stakeholder statements against domain checklists and proposes requirements nobody articulated. Which Kano-model concept does this address?
10. What must the Requirements Engineer establish about AI-suggested requirements gaps?