ISTQB Generative AI Testing Specialist (CT-GenAI) Vocabulary Game
Exam terms with clues and explanations by OpenExamPrep.
About the ISTQB Generative AI Testing Specialist (CT-GenAI) Vocabulary Games
4 free word games built on 20 ISTQB Generative AI Testing Specialist (CT-GenAI) terms across 5 topics. Every game deals terms at random and shows what each term means, so you can keep playing as long as you like.
How to Play
- 1.Read the clue and type the term (3 to 6 letters).
- 2.Green: right spot. Yellow: wrong spot. Gray: not in the term.
- 3.Solve it in 6 tries, then read the explanation.
- 1.Swap two neighboring tiles to line up 3 of the same term.
- 2.Longer lines, two lines at once and chains score more.
- 3.Play until no swap can make a line.
- 1.Flip two cards. A matching pair stays face up.
- 2.Each pair you find shows what the term means.
- 3.Clear the board in as few moves as you can.
- 1.Find each listed term in the letter grid.
- 2.Drag across its letters: across, down or diagonally.
- 3.Find all five as fast as you can.
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Topics in the ISTQB Generative AI Testing Specialist (CT-GenAI) Vocabulary Game
GenAI foundations
Instruction design
GenAI risks
LLM infrastructure
Adoption and change
Sources for these terms (3)
- Certified Tester Specialist Level Syllabus – Testing with Generative AI (CT-GenAI) v1.1 · Source checked 2026-11-04
- Data protection · Source checked 2026-11-04
- Artificial Intelligence Risk Management Framework (AI RMF 1.0) · Source checked 2026-11-04
About the ISTQB CT-GenAI Exam
The ISTQB Certified Tester Testing with Generative AI (CT-GenAI) is an ISTQB Specialist certification; v1.0 was released on July 25, 2025 and the current syllabus is v1.1 (April 27, 2026). It covers using generative AI to support software testing: LLM basics such as tokenization, embeddings and context windows; prompt engineering for test analysis, design, automation and reporting; hallucinations, reasoning errors, bias, data privacy, security and energy use; retrieval-augmented generation, LLM-powered agents, fine-tuning and LLMOps; and shadow AI, model selection and adoption in test organizations.
Exam sponsor: ISTQB (through recognized exam providers). The requirements and fees below concern the certification or admission exam, separate from our free practice resources.
Questions
40 questions
Time Limit
60 minutes
Passing Score
30 of 46 points (65%)
Reported exam pass rate: Not published. ISTQB does not publish CT-GenAI pass rates Exam sponsor website
Fees, eligibility, and exam policies can change. Confirm them with the exam sponsor before applying or paying.
Frequently Asked Questions
Is the ISTQB CT-GenAI vocabulary game free?
Yes. The game is free to play with no sign-up. Signing in adds AI explanations for any term.
How do the ISTQB CT-GenAI vocabulary games work?
There are 4 games built on 20 ISTQB CT-GenAI terms. In Guess the Term, a clue describes one term and you have six tries to spell it, with green, yellow and gray letters showing how close you are. In Term Match, six terms appear as colored tiles; swap neighbors to line up three or more of the same term, and each match shows what the term means. In Term Pairs, twelve face-down cards hide six pairs of terms; flip two at a time to find each pair, and every pair you find shows what the term means. In Term Search, five terms hide in a grid of letters, reading across, down or diagonally; drag across a term to circle it, and each term you find shows what it means.
Where do the ISTQB CT-GenAI terms come from?
OpenExamPrep researched each term from the ISTQB (through recognized exam providers) content outline and primary sources, listed under Sources on this page. The game is independent study material, not an official exam resource.
What is the ISTQB CT-GenAI exam?
The ISTQB Certified Tester Testing with Generative AI (CT-GenAI) is an ISTQB Specialist exam; v1.0 was released in July 2025 and the current syllabus is v1.1 (April 2026). It covers how testers use generative AI and LLMs in software testing: GenAI basics, prompt engineering for test tasks, risks such as hallucinations, bias and data privacy, retrieval-augmented generation and LLM-powered agents, and adopting GenAI in a test organization.
How is CT-GenAI different from CT-AI?
CT-AI focuses on testing classical AI/ML systems — supervised learning, classifiers, regressors, neural networks, ISO 25059 quality characteristics, and metrics like precision/recall. CT-GenAI focuses on using generative AI in testing: LLM basics, prompt engineering for test tasks, hallucinations, bias and other GenAI risks, retrieval-augmented generation, LLM-powered agents and LLMOps. CT-GenAI is newer (2025) and complements CT-AI rather than replacing it.