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ISTQB CT-GenAI v1.1: 480 Practice Questions 2026
New
1 students

ISTQB CT-GenAI v1.1: 480 Practice Questions 2026

480 original questions on Prompt Engineering, GenAI Risks, RAG & Agents, and LLMOps for CT-GenAI v1.1 exam prep
Last updated 9/2026
English

What you'll learn

  • Apply Generative AI concepts, LLM capabilities, prompting techniques, and multimodal AI concepts relevant to software testing.
  • Practice prompt engineering for test analysis, test design, automation, regression testing, monitoring, and test data generation.
  • Identify and manage GenAI risks including hallucinations, bias, privacy, security, non-determinism, and responsible AI concerns.
  • Prepare for the ISTQB CT-GenAI v1.1 exam using 480 original practice questions covering RAG, agents, LLMOps, strategy, and adoption.

Included in This Course

480 questions
  • CT-GenAI Mock Exam 1 — Foundations & Prompt Engineering80 questions
  • CT-GenAI Mock Exam 2 — Test Analysis, Design & Automation80 questions
  • CT-GenAI Mock Exam 3 — Risks, Privacy, Security & Governance80 questions
  • CT-GenAI Mock Exam 4 — RAG, Agents, Fine-Tuning & LLMOps80 questions
  • CT-GenAI Mock Exam 5 — Strategy, Adoption & Integrated Scenarios80 questions
  • CT-GenAI Final Mock Exam — Full-Syllabus Challenge80 questions

Description

Prepare confidently for the ISTQB Certified Tester – Testing with Generative AI (CT-GenAI) v1.1 certification with a comprehensive collection of 480 original practice questions designed around the CT-GenAI syllabus and examination objectives.

This course contains 6 practice tests with 80 questions each, giving you extensive exposure to the concepts, terminology, scenarios, and application-based thinking required for the certification. Each 80-question practice test is structured as two 40-question exam-style simulations, allowing you to practice both individual concepts and full-syllabus exam readiness.

The questions cover the major CT-GenAI knowledge areas, including:

  • Generative AI and Large Language Model fundamentals

  • Prompt engineering for software testing

  • Test analysis, test design, test implementation, and regression testing with GenAI

  • Evaluation and refinement of prompts and GenAI-generated testware

  • Hallucinations, reasoning errors, bias, and non-determinism

  • Data privacy, security risks, and responsible AI usage

  • Retrieval-Augmented Generation (RAG)

  • LLM-powered agents and test infrastructure

  • Fine-tuning and LLMOps

  • GenAI strategy, organizational adoption, Shadow AI, and evolving tester responsibilities

Every question includes much more than the correct answer. You will receive:

Correct Answer
Why the answer is correct
Why the other options are incorrect
Key Takeaway
ISTQB Syllabus Reference
Learning Objective
K-Level – K1, K2, or K3

This approach helps you understand the reasoning behind each answer rather than simply memorizing questions.

The course is especially suitable for software testers, QA engineers, test analysts, automation engineers, test managers, developers, and ISTQB Foundation Level certificate holders preparing to expand their knowledge of Generative AI in software testing.

All practice questions are independently created by experts for learning and exam preparation.

Who this course is for:

  • Software testers, QA engineers, test analysts, automation engineers, test managers, developers, and CTFL holders preparing for ISTQB CT-GenAI v1.1.