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

1. Your team needs to generate 500 API test cases for a REST API with 50 endpoints. You have documented 10 exemplar test cases that follow your organization's standard format. You want the LLM to generate test cases following the pattern demonstrated in your examples. Which of the following prompting techniques is BEST suited to achieve your goal in this scenario?

A) Meta prompting
B) Zero-shot prompting
C) Few-shot prompting
D) Prompt chaining

2. What does an embedding represent in an LLM?

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

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

4. A tester uploads crafted images that steer the LLM into validating non-existent acceptance criteria. Which attack vector is this?

A) Data poisoning
B) Request manipulation
C) Data exfiltration
D) Malicious code generation

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

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

Solutions: