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ISQI CT-GenAI Exam Syllabus Topics:

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

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

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

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

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

4. You must use GenAI to perform test analysis on a payments module with finalized requirements: (1) generate test conditions, (2) prioritize by risk, (3) check coverage gaps. Which sequence best applies prompt chaining?

A) Generate conditions -> prioritize by risk -> map to requirements to find gaps
B) Prioritize requirements -> generate conditions -> review defects
C) Generate prioritized conditions in one shot -> verify coverage
D) Detect requirement defects -> generate conditions -> prioritize

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

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

Solutions: