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

1. In the context of software testing, which statements (i-v) about foundation, instruction-tuned, and reasoning LLMs are CORRECT?
i. Foundation LLMs are best suited for broad exploratory ideation when test requirements are underspecified.
ii. Instruction-tuned LLMs are strongest at adhering to fixed test case formats (e.g., Gherkin) from clear prompts.
iii. Reasoning LLMs are strongest at multi-step root-cause analysis across logs, defects, and requirements.
iv. Foundation LLMs are optimal for strict policy compliance and template conformance.
v. Instruction-tuned LLMs can follow stepwise reasoning without any additional training or prompting.

A) i, iii, v
B) ii, iii, iv
C) i, ii, iii (Duplicate entry in original source)
D) i, ii, iii

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 references to version control systems like Git in the constraints.
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 mapping code changes to affected modules, identifying test cases, prioritizing by risk level and change complexity

3. How do tester responsibilities MOSTLY evolve when integrating GenAI into test processes?

A) Transitioning from manual execution to complete automation with no human oversight
B) Replacing existing test coverage validation with automated summary reports generated by AI
C) Moving from black-box exploratory testing toward exclusively performing code-based white-box checks
D) Shifting from test execution toward reviewing, refining, and validating AI-generated testware

4. What defines a prompt pattern in the context of structured GenAI capability building?

A) Maintaining static documentation repositories without real-time prompt standardization processes
B) Applying a reusable and structured template that guides GenAI models toward consistent outputs
C) Treating prompts as access credentials or compliance records rather than functional templates
D) Using ad hoc prompts without reference to previously proven structures or examples

5. 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 type of cloud platform affects processing speed but not total energy draw
C) The duration of user sessions primarily affects latency but not power efficiency
D) The number of tokens processed directly determines the carbon intensity of each query

Solutions: