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

1. Which setting can reduce variability by narrowing the sampling distribution during inference?

A) Increasing learning rate
B) Lowering temperature
C) Using a larger context window
D) Increasing temperature

2. A prompt begins: "You are a senior test manager responsible for risk-based test planning on a payments platform." Which component is this?

A) Role
B) Context
C) Constraints
D) Instruction

3. 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) Specify that the role is a test architect specializing in CI/CD pipelines.
B) Include references to version control systems like Git in the constraints.
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

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) Treating prompts as access credentials or compliance records rather than functional templates
C) Applying a reusable and structured template that guides GenAI models toward consistent outputs
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 type of cloud platform affects processing speed but not total energy draw
B) The duration of user sessions primarily affects latency but not power efficiency
C) The number of tokens processed directly determines the carbon intensity of each query
D) The location of the data center determines model bias and accuracy levels

Solutions: