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

CT-GenAI pass collection

Exam Code: CT-GenAI

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

Updated: Aug 17, 2026

Q & A: 42 Questions and Answers

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ISQI CT-GenAI Exam Syllabus Topics:

SectionObjectives
Topic 1: 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 2: 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 3: 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 4: Risk, Quality, and Limitations of GenAI- Risks in GenAI usage
                    • 1. Hallucinations and reasoning errors
                      • 2. Data privacy and security concerns
                        • 3. Bias and fairness issues
                          • 4. Environmental and energy considerations
                            Topic 5: Organizational Adoption and Governance- Enterprise GenAI adoption
                            • 1. LLMOps and governance models
                              • 2. Policy, ethics, and compliance considerations
                                • 3. Integration into CI/CD pipelines

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

                                  1. A prompt begins: "You are a senior test manager responsible for risk-based test planning on a payments platform." Which component is this?

                                  A) Constraints
                                  B) Role
                                  C) Context
                                  D) Instruction


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

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


                                  3. You must generate test cases for a new payments rule. The system includes API specifications stored in a vector database and prior tests in a relational database. Which of the following sequences BEST represents the correct order for applying a Retrieval-Augmented Generation (RAG) workflow?
                                  i. Retrieve semantically similar specification chunks from the vector database ii. Feed both retrieved datasets as context for the LLM to generate new test cases iii. Retrieve relevant historical cases from the relational database iv. Submit a focused query describing the new test requirement

                                  A) i -> iv -> iii -> ii
                                  B) iv -> iii -> i -> ii
                                  C) iii -> iv -> i -> ii
                                  D) iv -> i -> iii -> ii


                                  4. Which competency MOST helps testers steer LLMs to produce useful, on-policy testware?

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


                                  5. A tester uploads crafted images that steer the LLM into validating non-existent acceptance criteria. Which attack vector is this?

                                  A) Request manipulation
                                  B) Data poisoning
                                  C) Data exfiltration
                                  D) Malicious code generation


                                  Solutions:

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

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