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

2. What does an embedding represent in an LLM?

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

3. Which statement about data privacy risks in GenAI-assisted testing is INCORRECT?

A) GenAI outputs can accidentally reveal sensitive information present in inputs
B) Using GenAI without regulatory compliance can lead to legal exposure
C) Some GenAI tools may store/process data without explicit consent
D) Strict GDPR compliance eliminates all privacy risk

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

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

5. Which option BEST differentiates the three prompting techniques?

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

Solutions: