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ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:
1. Which technique MOST directly reduces hallucinations by grounding the model in project realities?
A) Use longer temperature settings
B) Provide detailed context
C) Rely on generic examples only
D) Randomize prompts each run
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) Include mapping code changes to affected modules, identifying test cases, prioritizing by risk level and change complexity
D) Add a step to review the change log for syntax errors before analysis.
3. You must use GenAI to perform test analysis on a payments module with finalized requirements: (1) generate test conditions, (2) prioritize by risk, (3) check coverage gaps. Which sequence best applies prompt chaining?
A) Generate prioritized conditions in one shot -> verify coverage
B) Prioritize requirements -> generate conditions -> review defects
C) Generate conditions -> prioritize by risk -> map to requirements to find gaps
D) Detect requirement defects -> generate conditions -> prioritize
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) 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) Include mapping code changes to affected modules, identifying test cases, prioritizing by risk level and change complexity
D) Add a step to review the change log for syntax errors before analysis.
5. Which of the following is NOT a valid form of LLM-driven test data generation?
A) Creating combinatorial data (e.g., pairwise)
B) Generating synthetic datasets
C) Creating production database backups
D) Setting boundary values
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: C |
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