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

"ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0", also known as CT-GenAI exam, is a ISQI Certification. With the complete collection of questions and answers, UpdateDumps has assembled to take you through 42 Q&As to your CT-GenAI Exam preparation. In the CT-GenAI exam resources, you will cover every field and category in AI Testing Certification helping to ready you for your successful ISQI Certification.

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  • Updated on: Aug 19, 2026
  • No. of Questions: 42 Questions & Answers

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  • Updated on: Aug 19, 2026
  • No. of Questions: 42 Questions & Answers

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ISQI CT-GenAI Exam Syllabus Topics:

SectionObjectives
Topic 1: Application of GenAI in Software Testing- Practical use in testing workflows
  • 1. Regression suite optimization
    • 2. Test data generation and augmentation
      • 3. Test case generation using LLMs
        • 4. Defect report analysis and summarization
          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. LLMOps and governance models
                    • 2. Policy, ethics, and compliance considerations
                      • 3. Integration into CI/CD pipelines
                        Topic 4: Foundations of Generative AI and LLMs- Introduction to Generative AI in Software Testing
                        • 1. LLM basics, tokenization, context window, multimodal models
                          • 2. Difference between chatbots and LLM-based test tools
                            Topic 5: Prompt Engineering for Testing- Prompt design techniques
                            • 1. Zero-shot, one-shot, few-shot prompting
                              • 2. Structuring prompts for test case generation
                                • 3. Prompt chaining and meta prompting

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

                                  1. What is a primary compliance concern related to Shadow AI in organizational test environments?

                                  A) Difficulty in aligning project milestones with business outcomes
                                  B) Automated compliance validation during AI tool deployment
                                  C) Failure to update system documentation within the test process
                                  D) Violation of established data handling and regulatory compliance standards


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

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


                                  3. Which statement about fine-tuning for test tasks is INCORRECT?

                                  A) It enhances relevance to organizational terminology and formats
                                  B) It replaces the model's general knowledge entirely and prevents overfitting
                                  C) It can be applied to smaller SLMs to improve task performance with lower compute
                                  D) It adapts a pre-trained model to a domain using task-specific data


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

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


                                  5. Which option BEST differentiates the three prompting techniques?

                                  A) Meta = step decomposition; Chaining = zero-shot only; Few-shot = manual optimization
                                  B) Few-shot = no examples; Chaining = single prompt; Meta = disable iteration
                                  C) Few-shot = examples; Chaining = multi-step prompts; Meta = model helps draft/refine prompts
                                  D) Chaining = give examples; Few-shot = break tasks; Meta = manual edits only


                                  Solutions:

                                  Question # 1
                                  Answer: D
                                  Question # 2
                                  Answer: B
                                  Question # 3
                                  Answer: B
                                  Question # 4
                                  Answer: C
                                  Question # 5
                                  Answer: C

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