A municipal ice-rescue volunteer roster shop writes “use AI more” as its only GenAI testing goal. Which set best represents measurable test objectives for a GenAI testing strategy?
Select an answer to reveal the explanation.
Short Explanation
“Use AI more” is like saying “drive faster” without a destination or speed limit. A GenAI testing strategy starts with measurable objectives such as higher test productivity, shorter cycles, and better test quality. Those targets can be tracked; vague adoption slogans cannot.
Full Explanation
Official example objectives for a GenAI testing strategy include increasing test productivity, shortening test cycles, and improving test quality. A municipal ice-rescue volunteer roster shop that writes only “use AI more” lacks measurable direction for tooling and process choices. Maximizing personal chatbot adoption regardless of oversight encourages shadow AI rather than stating a test outcome. Replacing all human review with fully automatic acceptance of generated packs conflicts with quality-gate guidelines and review skills. Counting how many vendor brand names appear in weekly status reports is vanity reporting, not a syllabus objective for GenAI-in-testing strategy. Exam caveat: objectives should be measurable and test-oriented; slogans and vendor tallies do not guide civic roster testing strategy. Operational check: rewrite “use AI more” into concrete aims such as shorter roster-test cycles, higher pack quality, or improved tester productivity, then align tools and metrics to those aims. Keep civic testware subject to the same review discipline you would apply to human-authored packs. On the written exam, prefer syllabus terminology over vendor marketing language or lab choreography.