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

1. 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) Add a step to review the change log for syntax errors before analysis.
B) Specify that the role is a test architect specializing in CI/CD pipelines.
C) Include references to version control systems like Git in the constraints.
D) Include mapping code changes to affected modules, identifying test cases, prioritizing by risk level and change complexity

2. What distinguishes an LLM-powered agent from a basic AI chatbot in test processes?

A) Ability to respond to prompts without explicit user instructions
B) Ability to trigger automated actions beyond conversation
C) Reliance on predefined templates to generate short, factual answers
D) Use of a conversational tone and improved response personalization

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

4. 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

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

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

Solutions: