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

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

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

2. You are tasked with applying structured prompting to perform impact analysis on recent code changes. Which of the following improvements would BEST align the prompt with structured prompt engineering best practices for comprehensive impact analysis?

A) Include mapping code changes to affected modules, identifying test cases, prioritizing by risk level and change complexity
B) Specify that the role is a test architect specializing in CI/CD pipelines.
C) Add a step to review the change log for syntax errors before analysis.
D) Include references to version control systems like Git in the constraints.

3. What does an embedding represent in an LLM?

A) Tokens grouped into context windows
B) A set of test cases for validation
C) Numerical vectors capturing semantic relationships
D) Logical rules for reasoning

4. Which option BEST differentiates the three prompting techniques?

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

5. 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 models with maximum vendor visibility and strong online presence to ensure reliability
C) Select broad-coverage models offering diverse functionalities for various test scenarios
D) Select LLMs aligned to measurable test outcomes, compatible with current infrastructure

Solutions: