Certified Tester – Testing with Generative AI (CT-GenAI) Exam FAQs
What is the purpose of the Certified Tester – Testing with Generative AI (CT-GenAI) exam?
The CT-GenAI exam validates a candidate’s ability to understand and apply generative AI concepts within software testing activities. It focuses on practical usage of AI technologies, particularly Large Language Models, while ensuring quality, reliability, and responsible adoption across the testing lifecycle.
Who is the certification intended for?
This certification is designed for professionals involved in software quality activities, including testers, test analysts, automation engineers, test managers, and developers. It is also suitable for managers, consultants, and technical leaders who need a structured understanding of generative AI in testing environments.
Is there a prerequisite for taking the CT-GenAI exam?
Yes, candidates must hold the ISTQB® Certified Tester Foundation Level (CTFL) certification before registering for the CT-GenAI exam. This ensures a consistent baseline knowledge of software testing principles.
What is the exam format?
The CT-GenAI exam is a closed-book assessment consisting entirely of multiple-choice questions. The questions evaluate both conceptual understanding and applied knowledge related to generative AI usage in testing scenarios.
How many questions are included in the exam?
The exam contains 40 questions, carefully structured to cover the full syllabus, including AI fundamentals, prompt engineering, risk awareness, and practical testing applications.
What is the total duration of the CT-GenAI exam?
Candidates are given 60 minutes to complete the exam. An additional 25% extra time is provided for candidates taking the exam in a non-native language to ensure fairness.
What score is required to pass the CT-GenAI exam?
To successfully pass the exam, candidates must achieve a minimum score of 65%, which reflects a solid understanding of both theoretical and practical aspects of generative AI in software testing.
What knowledge areas are assessed in the exam?
The exam evaluates understanding of generative AI concepts, prompt engineering techniques, AI-assisted test design, non-deterministic system behavior, risk management, ethical considerations, and responsible use of AI in testing processes.
Are scenario-based questions included in the CT-GenAI exam?
Yes, many questions are scenario-oriented and require candidates to apply generative AI concepts to realistic testing situations, rather than relying solely on memorization of definitions.
Is formal training mandatory before attempting the CT-GenAI exam?
Formal training is not mandatory, but attending courses from ISTQB-accredited providers is strongly recommended, as they follow the official syllabus and provide exam-oriented guidance.
What is the recommended approach for CT-GenAI exam preparation?
Effective preparation involves studying the official syllabus, reviewing recommended references, practicing with sample questions, experimenting with generative AI tools, and participating in study groups or professional testing communities.
How does CT-GenAI fit into the ISTQB certification pathway?
CT-GenAI complements the ISTQB certification scheme by adding future-ready AI skills. After certification, candidates can progress to Advanced Level modules and later pursue Expert Level certifications to further specialize in testing leadership and process improvement.
