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1. What is the primary goal of adopting AI agents across the product development lifecycle?
A) To design repeatable agentic workflows that increase team productivity B) To fully automate product strategy decisions C) To remove the need for product and engineering collaboration D) To replace all existing software systems
2. How should LLMs be treated when integrated into software systems?
A) As autonomous decision-makers that require minimal oversight B) As powerful but constrained components within a larger architecture C) As interchangeable replacements for backend services D) As static rule-based systems
3. What does an Agentic Product Development Lifecycle primarily map?
A) Engineering team structures to org charts B) Product lifecycle stages to agent roles and feedback loops C) UI components to design systems D) Business models to pricing tiers
4. Why is it recommended to design agentic flows before writing any code?
A) Because code generation tools cannot handle agents B) Because defining flows clarifies roles, loops, and responsibilities C) Because agents require visual design assets first D) Because deployment depends on flow diagrams
5. What is the purpose of running pilots when introducing AI agents in an organisation?
A) To test every possible use case at once B) To safely evaluate impact, risks, and adoption patterns C) To avoid involving stakeholders early D) To finalize architecture decisions permanently
6. What role do planner, executor, and critic agents serve in an agentic workflow?
A) They manage authentication and user access B) They split UI, backend, and database responsibilities C) They decompose tasks, execute actions, and validate results D) They control deployment environments
7. Why is change management critical when adopting AI agents?
A) Because agents cannot operate without executive approval B) Because adoption requires stakeholder alignment, guardrails, and trust C) Because agents automatically resist organisational processes D) Because tooling decisions matter more than people
8. What does the end-to-end agentic workflow demo primarily provide?
A) A production-ready system to deploy immediately B) A pricing model for agent platforms C) A concrete reference pattern showing how agents iterate and validate work D) A replacement for team documentation
9. Why is measuring impact emphasized when scaling AI agents?
A) Because metrics improve agent creativity B) Because impact measurement helps justify expansion and guide iteration C) Because agents require KPIs to function D) Because impact replaces qualitative feedback
10. What is the intended outcome participants should leave the program with?
A) A finished AI product B) A theoretical understanding of LLMs only C) Access to AI tooling credits D) A concrete playbook to roll out AI agents in their organisation
