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

1. What is a hallucination in LLM outputs?

A) A systematic preference learned from data
B) A logical mistake in multi-step deduction
C) A transient network failure during inference
D) Generation of factually incorrect content for the task

2. 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) Neglect legacy data sources as they provide limited immediate relevance to testing tasks
C) Aggregate data from all available organizational repositories without filtration
D) Prioritize accurate and relevant input data secured through defined quality procedures

3. Which consideration BEST aligns LLM choice with organizational goals in a GenAI testing strategy?

A) Select open-source models prioritizing creativity over compliance or performance consistency
B) Select LLMs aligned to measurable test outcomes, compatible with current infrastructure
C) Select broad-coverage models offering diverse functionalities for various test scenarios
D) Select models with maximum vendor visibility and strong online presence to ensure reliability

4. Which statement BEST differentiates an LLM-powered test infrastructure from a traditional chatbot system used in testing?

A) It provides fixed responses from predefined rule sets and scripts
B) It produces scripted conversational responses similar to traditional bots
C) It focuses primarily on visual dashboards and user navigation features
D) It dynamically generates test insights using contextual information

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

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

Solutions: