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

CT-GenAI Exam Simulator
  • Exam Code: CT-GenAI
  • Exam Name: ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0
  • Updated: Aug 19, 2026
  • Q & A: 42 Questions and Answers

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ISQI CT-GenAI exam simulator

ISQI CT-GenAI Exam Syllabus Topics:

SectionObjectives
Topic 1: Application of GenAI in Software Testing- Practical use in testing workflows
  • 1. Test data generation and augmentation
    • 2. Test case generation using LLMs
      • 3. Regression suite optimization
        • 4. Defect report analysis and summarization
          Topic 2: 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 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: Risk, Quality, and Limitations of GenAI- Risks in GenAI usage
                    • 1. Hallucinations and reasoning errors
                      • 2. Bias and fairness issues
                        • 3. Data privacy and security concerns
                          • 4. Environmental and energy considerations
                            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. Which competency MOST helps testers steer LLMs to produce useful, on-policy testware?

                                  A) Designing custom CPU instructions
                                  B) Mastering prompt engineering
                                  C) Writing low-level device drivers
                                  D) Configuring network routers


                                  2. Which option BEST differentiates the three prompting techniques?

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


                                  3. What is a hallucination in LLM outputs?

                                  A) A logical mistake in multi-step deduction
                                  B) A transient network failure during inference
                                  C) A systematic preference learned from data
                                  D) Generation of factually incorrect content for the task


                                  4. What BEST protects sensitive test data at rest and in transit?

                                  A) Rely on obfuscation instead of encryption
                                  B) Disable TLS and rely on VPN only
                                  C) Use public file shares with read-only links
                                  D) Enforce role-based access controls


                                  5. 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 respond to prompts without explicit user instructions
                                  D) Ability to trigger automated actions beyond conversation


                                  Solutions:

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

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