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

2. Which concept refers to breaking text into smaller units for processing by LLMs?

A) Embeddings
B) Context Window
C) Tokenization
D) Transformer

3. Which factor MOST influences the overall energy consumption of a Generative AI model used in software testing tasks?

A) The location of the data center determines model bias and accuracy levels
B) The duration of user sessions primarily affects latency but not power efficiency
C) The number of tokens processed directly determines the carbon intensity of each query
D) The type of cloud platform affects processing speed but not total energy draw

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) Ability to trigger automated actions beyond conversation
C) Ability to respond to prompts without explicit user instructions
D) Reliance on predefined templates to generate short, factual answers

5. Which option BEST differentiates the three prompting techniques?

A) Few-shot = no examples; Chaining = single prompt; Meta = disable iteration
B) Few-shot = examples; Chaining = multi-step prompts; Meta = model helps draft/refine prompts
C) Meta = step decomposition; Chaining = zero-shot only; Few-shot = manual optimization
D) Chaining = give examples; Few-shot = break tasks; Meta = manual edits only

Solutions: