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

1. A team notices vague, inconsistent LLM outputs for the same story for two different prompts. Which technique BEST helps choose the stronger wording among two prompt versions using predefined metrics?

A) A/B testing of prompts
B) Integrating user feedback
C) Output analysis
D) Iterative prompt modification

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

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

3. Which statement BEST contrasts interaction style and scope?

A) Chatbots enable conversational interactions; LLM apps provide capabilities for defined test tasks.
B) Chatbots require API integration; LLM apps do not.
C) Chatbots enforce fixed workflows; LLM apps support free-form exploration beneficial for software testing
D) Both are identical aside from UI theme.

4. 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 mapping code changes to affected modules, identifying test cases, prioritizing by risk level and change complexity
C) Include references to version control systems like Git in the constraints.
D) Add a step to review the change log for syntax errors before analysis.

5. Which AI approach requires feature engineering and structured data preparation?

A) Generative AI
B) Deep Learning
C) Symbolic AI
D) Classical Machine Learning

Solutions: