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Not sure whether the ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 material is right for you? Download the free CT-GenAI demo from ActualVCE and judge the quality of the 42 practice questions yourself before spending anything.

ISQI CT-GenAI Exam Overview:

Certification Vendor:ISTQB® / iSQI (International Software Quality Institute) / Member Boards
Exam Name:Certified Tester Testing with Generative AI (CT-GenAI)
Exam Number:CT-GenAI v1.0
Related Certifications:ISTQB Certified Tester Foundation Level (CTFL)
Real Exam Qty:40 multiple-choice questions
Exam Duration:60 (+15 min extension for non-native language candidates)
Exam Format:Scenario-based comprehension questions, Single-answer questions, Multiple-choice
Available Languages:Local language versions depending on member board, English
Exam Price:Varies by region (~230–260 EUR typical EU pricing; provider-dependent)
Passing Score:Approximately 65% (typically 26/40 correct answers; varies slightly by board)
Certificate Validity Period:No expiry for certification (ISTQB certifications are generally lifelong)
Recommended Training:ISTQB CT-GenAI Syllabus (Official PDF)
ISTQB Sample Exams & Resources
Exam Registration:Member Board / Exam Providers (varies by country)
ISTQB Official Certification Portal
Sample Questions: DOWNLOAD DEMO
Exam Way:Online proctored or test center (Pearson VUE / ISTQB member boards depending on region)
Pre Condition:ISTQB Certified Tester Foundation Level (CTFL) is required
Official Syllabus URL:https://www.istqb.org/certifications/gen-ai/

ISQI CT-GenAI Exam Syllabus Topics:

SectionObjectives
Topic 1: Risk, Quality, and Limitations of GenAI- Risks in GenAI usage
  • 1. Data privacy and security concerns
    • 2. Hallucinations and reasoning errors
      • 3. Environmental and energy considerations
        • 4. Bias and fairness issues
          Topic 2: 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 3: Prompt Engineering for Testing- Prompt design techniques
                • 1. Structuring prompts for test case generation
                  • 2. Prompt chaining and meta prompting
                    • 3. Zero-shot, one-shot, few-shot prompting
                      Topic 4: 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 5: Application of GenAI in Software Testing- Practical use in testing workflows
                          • 1. Defect report analysis and summarization
                            • 2. Test data generation and augmentation
                              • 3. Test case generation using LLMs
                                • 4. Regression suite optimization

                                  ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 FAQ: Straight Answers for Candidates

                                  Yes. A free PDF demo is available so you can review the question quality and format before you pay anything. And once you do purchase, your ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 material includes 365 days of free updates — if that update period expires, you can extend it later at a 50% discount from your member zone.

                                  The CT-GenAI exam includes 40 multiple-choice questions questions, and you have 60 (+15 min extension for non-native language candidates) to complete them. That makes pacing a real part of the challenge. Before test day, work out roughly how much time you can afford per question, get used to flagging a hard item and coming back to it instead of burning five minutes on one answer, and run at least a couple of full timed sessions in the ActualVCE test engine so the clock feels familiar when it counts.

                                  The official blueprint divides the ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 into 5 domains. The main areas include Organizational Adoption and Governance, Prompt Engineering for Testing, Risk, Quality, and Limitations of GenAI. Each domain breaks down into its own subtopics, so scroll up to the complete exam outline above before you plan your study schedule.

                                  ISTQB Certified Tester Foundation Level (CTFL) is required Certification vendors do adjust these requirements from time to time, so we recommend confirming the current criteria on the official exam page — official CT-GenAI exam information before you register.

                                  The CT-GenAI exam is the official test you need to pass to earn the ISTQB Certified Tester Specialist – Testing with Generative AI (CT-GenAI) certification at the Specialist level. Passing it validates your skills to employers, and for many IT professionals it is a direct step toward better roles and better pay. It also connects to related credentials such as ISTQB Certified Tester Foundation Level (CTFL), so it is worth understanding where this exam sits on your certification path.

                                  Yes, the vendor recommends the following official training:

                                  Official courses build a strong foundation, but a course alone rarely tells you whether you are actually exam-ready. Work through the CT-GenAI practice questions from ActualVCE afterwards to measure yourself against real exam difficulty.

                                  The passing score for the CT-GenAI exam is Approximately 65% (typically 26/40 correct answers; varies slightly by board), and the official registration fee is Varies by region (~230–260 EUR typical EU pricing; provider-dependent). One thing candidates often overlook: if you do not pass, a retake means paying that fee again in full. It is a strong argument for drilling with the 42 practice questions from ActualVCE until your mock scores sit comfortably above the bar before you book a seat.

                                  If you take the corresponding CT-GenAI exam within 60 days of purchase and do not pass, you can apply for a full refund under our 100% Money Back Guarantee. Send us a scanned copy of your exam enrollment slip together with your official Score Report PDF within 2 days of taking the exam, and we will process the claim within 7 days. Please note the conditions: sitting the exam within 3 days of purchase does not qualify, the candidate name on the exam record must match the payer's name, and free materials, downloaded-but-never-taken exams, and expired orders are excluded. If you would rather not take a refund, you can exchange your order for two other exam products of equal value at no cost and keep the update service on your original purchase. Delivery itself is instant: the files are available for download right after payment and also reach your mailbox within a minute — contact our customer service team if nothing arrives within 2 hours. There is no limit on how many computers you may install the material on.

                                  You can book your exam seat through the official registration channels below:

                                  The CT-GenAI exam is available Online proctored or test center (Pearson VUE / ISTQB member boards depending on region), so choose whichever option suits you best when you register.

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

                                  Who typically defines the system prompt in a testing workflow?

                                  • A. A tester configuring the assistant
                                  • B. End user during normal chat use
                                  • C. CI server automatically without human input
                                  • D. Product owner in user stories only
                                  Reveal Solution  Discussion  0

                                  Correct Answer: A  🗳️

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

                                  Which factor MOST influences the overall energy consumption of a Generative AI model used in software testing tasks?

                                  • A. The number of tokens processed directly determines the carbon intensity of each query
                                  • B. The type of cloud platform affects processing speed but not total energy draw
                                  • C. The location of the data center determines model bias and accuracy levels
                                  • D. The duration of user sessions primarily affects latency but not power efficiency
                                  Reveal Solution  Discussion  0

                                  Correct Answer: A  🗳️

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

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

                                  • A. Violation of established data handling and regulatory compliance standards
                                  • B. Failure to update system documentation within the test process
                                  • C. Automated compliance validation during AI tool deployment
                                  • D. Difficulty in aligning project milestones with business outcomes
                                  Reveal Solution  Discussion  0

                                  Correct Answer: A  🗳️

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

                                  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. Chaining = give examples; Few-shot = break tasks; Meta = manual edits only
                                  • D. Few-shot = examples; Chaining = multi-step prompts; Meta = model helps draft/refine prompts
                                  Reveal Solution  Discussion  0

                                  Correct Answer: D  🗳️

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

                                  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 exfiltration
                                  • C. Data poisoning
                                  • D. Malicious code generation
                                  Reveal Solution  Discussion  0

                                  Correct Answer: A  🗳️

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

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