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

1. Which statement about data privacy risks in GenAI-assisted testing is INCORRECT?

A) GenAI outputs can accidentally reveal sensitive information present in inputs
B) Using GenAI without regulatory compliance can lead to legal exposure
C) Strict GDPR compliance eliminates all privacy risk
D) Some GenAI tools may store/process data without explicit consent

2. Which statement about fine-tuning for test tasks is INCORRECT?

A) It enhances relevance to organizational terminology and formats
B) It adapts a pre-trained model to a domain using task-specific data
C) It replaces the model's general knowledge entirely and prevents overfitting
D) It can be applied to smaller SLMs to improve task performance with lower compute

3. What is a key data-related aspect when defining a GenAI strategy for testing?

A) Neglect legacy data sources as they provide limited immediate relevance to testing tasks
B) Aggregate data from all available organizational repositories without filtration
C) Use only auto-generated synthetic data to avoid dependency on enterprise repositories
D) Prioritize accurate and relevant input data secured through defined quality procedures

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

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

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

Solutions: