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

2. An attacker sends extremely long prompts to overflow context so the model leaks snippets from its training data. Which attack vector is this?

A) Malicious code generation
B) Request manipulation
C) Data exfiltration
D) Data poisoning

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

4. Which statement BEST describes vision-language models (VLMs)?

A) VLMs process audio and video but not images.
B) VLMs are unrelated to multimodal LLMs and focus only on UI automation.
C) VLMs are a subset of multimodal LLMs integrating visual and textual information.
D) VLMs are a superset of multimodal LLMs.

5. An LLM prioritizes tests using likelihood X impact but ranks a trivial tooltip change above a payment failure.
What defect does this MOST LIKELY show?

A) Dataset bias toward UI features
B) Hallucination
C) Reasoning error in risk calculation logic
D) No defect; this is acceptable

Solutions: