The closing chapter moves from the individual tester to the test organisation. It deals with how adoption is actually introduced — a pilot before a rollout, a written policy on what may and may not be sent to a model, guardrails and approved tooling, the skills people need, and the resistance that shows up when a team is told a familiar activity is changing. Shadow AI, where staff quietly use whatever tool they like because nothing sanctioned exists, is treated as a predictable consequence of having no policy rather than as misconduct. The chapter also covers how adoption is measured once it is under way.
Seven questions come from here, worth seven points — the same weight as the opening chapter. The level profile is the lightest on the exam: four K1 and three K2, which means four of the eight recall questions on the entire paper are in this one chapter. In points per hour of study, nothing else on the syllabus returns as much.
Which is why skipping it is such a common and expensive decision. It reads like management material next to the prompting and risk chapters, so candidates leave it until the evening before and lose points that were there for the taking. Work through the questions in this pool early, make sure the vocabulary of rollout, policy, guardrails, change management and adoption metrics is familiar, and treat these seven points as banked before you go near the harder chapters.
This chapter is covered most heavily (7 questions) in CT-GenAI — Mock Exam 1 (Prompting for Test Analysis, Test Data and Pilot Governance), CT-GenAI — Mock Exam 2 (Model Behaviour, Technique-Driven Prompting and Operational Risk), CT-GenAI — Mock Exam 3 (Checkable Output, Retrieval Operations and Governance)