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

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

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

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 statement about fine-tuning for test tasks is INCORRECT?

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

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

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

5. Who typically defines the system prompt in a testing workflow?

A) Product owner in user stories only
B) CI server automatically without human input
C) A tester configuring the assistant
D) End user during normal chat use

Solutions: