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ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:

1. Which technique MOST directly reduces hallucinations by grounding the model in project realities?

A) Use longer temperature settings
B) Provide detailed context
C) Randomize prompts each run
D) Rely on generic examples only

2. A team notices vague, inconsistent LLM outputs for the same story for two different prompts. Which technique BEST helps choose the stronger wording among two prompt versions using predefined metrics?

A) Output analysis
B) Iterative prompt modification
C) Integrating user feedback
D) A/B testing of prompts

3. A prompt section states: "Web checkout module v3.2; focus on coupon application; existing regression suite IDs T-112-T-150; recent defect ID BUG-431." Which component is this?

A) Input data
B) Constraints
C) Output format
D) Instruction

4. What distinguishes an LLM-powered agent from a basic AI chatbot in test processes?

A) Use of a conversational tone and improved response personalization
B) Reliance on predefined templates to generate short, factual answers
C) Ability to trigger automated actions beyond conversation
D) Ability to respond to prompts without explicit user instructions

5. Which AI approach requires feature engineering and structured data preparation?

A) Classical Machine Learning
B) Deep Learning
C) Generative AI
D) Symbolic AI

Solutions: