ISQI CT-GenAI exam dumps : 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: Aug 06, 2026     Q & A: 42 Questions and Answers

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ISQI CT-GenAI Exam Syllabus Topics:

SectionObjectives
Prompt Engineering for Testing- Prompt design techniques
  • 1. Structuring prompts for test case generation
    • 2. Zero-shot, one-shot, few-shot prompting
      • 3. Prompt chaining and meta prompting
        Application of GenAI in Software Testing- Practical use in testing workflows
        • 1. Defect report analysis and summarization
          • 2. Test case generation using LLMs
            • 3. Regression suite optimization
              • 4. Test data generation and augmentation
                Risk, Quality, and Limitations of GenAI- Risks in GenAI usage
                • 1. Bias and fairness issues
                  • 2. Hallucinations and reasoning errors
                    • 3. Environmental and energy considerations
                      • 4. Data privacy and security concerns
                        Organizational Adoption and Governance- Enterprise GenAI adoption
                        • 1. LLMOps and governance models
                          • 2. Policy, ethics, and compliance considerations
                            • 3. Integration into CI/CD pipelines
                              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

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

                                  1. How do tester responsibilities MOSTLY evolve when integrating GenAI into test processes?

                                  A) Moving from black-box exploratory testing toward exclusively performing code-based white-box checks
                                  B) Shifting from test execution toward reviewing, refining, and validating AI-generated testware
                                  C) Transitioning from manual execution to complete automation with no human oversight
                                  D) Replacing existing test coverage validation with automated summary reports generated by AI


                                  2. When an organization uses an AI chatbot for testing, what is the PRIMARY LLMOps concern?

                                  A) Achieving faster responses by reducing model checkpoints and updates
                                  B) Focusing primarily on user experience improvements and response formatting
                                  C) Maintaining data privacy and minimizing security risks from external services
                                  D) Maximizing scalability by deploying larger cloud-based LLM clusters


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


                                  4. Which statement BEST differentiates an LLM-powered test infrastructure from a traditional chatbot system used in testing?

                                  A) It provides fixed responses from predefined rule sets and scripts
                                  B) It focuses primarily on visual dashboards and user navigation features
                                  C) It dynamically generates test insights using contextual information
                                  D) It produces scripted conversational responses similar to traditional bots


                                  5. What defines a prompt pattern in the context of structured GenAI capability building?

                                  A) Treating prompts as access credentials or compliance records rather than functional templates
                                  B) Maintaining static documentation repositories without real-time prompt standardization processes
                                  C) Using ad hoc prompts without reference to previously proven structures or examples
                                  D) Applying a reusable and structured template that guides GenAI models toward consistent outputs


                                  Solutions:

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

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