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

Exam Code: CT-GenAI

Exam Name: ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0

Updated: Sep 12, 2026

Q & A: 42 Questions and Answers

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ISQI CT-GenAI Exam Syllabus Topics:

Section	Objectives
Topic 1: Prompt Engineering for Testing	- Prompt design techniques 1. Prompt chaining and meta prompting 2. Structuring prompts for test case generation 3. Zero-shot, one-shot, few-shot prompting
Topic 2: Risk, Quality, and Limitations of GenAI	- Risks in GenAI usage 1. Environmental and energy considerations 2. Data privacy and security concerns 3. Bias and fairness issues 4. Hallucinations and reasoning errors
Topic 3: Organizational Adoption and Governance	- Enterprise GenAI adoption 1. Integration into CI/CD pipelines 2. LLMOps and governance models 3. Policy, ethics, and compliance considerations
Topic 4: Foundations of Generative AI and LLMs	- Introduction to Generative AI in Software Testing 1. Difference between chatbots and LLM-based test tools 2. LLM basics, tokenization, context window, multimodal models
Topic 5: Application of GenAI in Software Testing	- Practical use in testing workflows 1. Regression suite optimization 2. Defect report analysis and summarization 3. Test case generation using LLMs 4. Test data generation and augmentation

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

Question #1

Which technique MOST directly reduces hallucinations by grounding the model in project realities?

A. Use longer temperature settings
B. Rely on generic examples only
C. Randomize prompts each run
D. Provide detailed context

Reveal Solution Discussion 0

Correct Answer: D 🗳️