최신ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 - CT-GenAI무료샘플문제

A. Provide detailed context

B. Randomize prompts each run

C. Use longer temperature settings

D. Rely on generic examples only

A. Meta = step decomposition; Chaining = zero-shot only; Few-shot = manual optimization

B. Few-shot = no examples; Chaining = single prompt; Meta = disable iteration

C. Chaining = give examples; Few-shot = break tasks; Meta = manual edits only

D. Few-shot = examples; Chaining = multi-step prompts; Meta = model helps draft/refine prompts

A. A/B testing of prompts

B. Integrating user feedback

C. Output analysis

D. Iterative prompt modification

A. Creating combinatorial data (e.g., pairwise)

B. Generating synthetic datasets

C. Setting boundary values

D. Creating production database backups

A. Maintaining static documentation repositories without real-time prompt standardization processes

B. Treating prompts as access credentials or compliance records rather than functional templates

C. Using ad hoc prompts without reference to previously proven structures or examples

D. Applying a reusable and structured template that guides GenAI models toward consistent outputs