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 11, 2026
  • Q & A: 42 Questions and Answers

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ISQI CT-GenAI Exam Syllabus Topics:

SectionObjectives
Topic 1: Risk, Quality, and Limitations of GenAI- Risks in GenAI usage
  • 1. Bias and fairness issues
    • 2. Hallucinations and reasoning errors
      • 3. Data privacy and security concerns
        • 4. Environmental and energy considerations
          Topic 2: 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 3: Organizational Adoption and Governance- Enterprise GenAI adoption
              • 1. LLMOps and governance models
                • 2. Integration into CI/CD pipelines
                  • 3. Policy, ethics, and compliance considerations
                    Topic 4: 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 5: Application of GenAI in Software Testing- Practical use in testing workflows
                          • 1. Regression suite optimization
                            • 2. Test data generation and augmentation
                              • 3. Defect report analysis and summarization
                                • 4. Test case generation using LLMs

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

                                  Question #1

                                  Which of the following is NOT a valid form of LLM-driven test data generation?

                                  • A. Setting boundary values
                                  • B. Creating production database backups
                                  • C. Generating synthetic datasets
                                  • D. Creating combinatorial data (e.g., pairwise)
                                  Answer: B

                                  Explanation: Only visible for VCEDumps members. You can sign-up / login (it's free).

                                  Question #2

                                  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. Ability to trigger automated actions beyond conversation
                                  • C. Ability to respond to prompts without explicit user instructions
                                  • D. Reliance on predefined templates to generate short, factual answers
                                  Answer: B
                                  Question #3

                                  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 produces scripted conversational responses similar to traditional bots
                                  • C. It dynamically generates test insights using contextual information
                                  • D. It focuses primarily on visual dashboards and user navigation features
                                  Answer: C

                                  Explanation: Only visible for VCEDumps members. You can sign-up / login (it's free).

                                  Question #4

                                  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. Replacing existing test coverage validation with automated summary reports generated by AI
                                  • C. Shifting from test execution toward reviewing, refining, and validating AI-generated testware
                                  • D. Transitioning from manual execution to complete automation with no human oversight
                                  Answer: C

                                  Explanation: Only visible for VCEDumps members. You can sign-up / login (it's free).

                                  Question #5

                                  A prompt section states: "Web checkout module v3.2; focus on coupon application; existing regression suite IDs T-112-T-150; recent defect ID BUG-431." Which component is this?

                                  • A. Input data
                                  • B. Constraints
                                  • C. Instruction
                                  • D. Output format
                                  Answer: A

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