ISQI CT-GenAI Q&A - in .pdf

Exam Code: CT-GenAI
Exam Name: ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0
Updated: Sep 10, 2026
Q & A: 42 Questions and Answers
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ISQI CT-GenAI Q&A - Testing Engine

Exam Code: CT-GenAI
Exam Name: ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0
Updated: Sep 10, 2026
Q & A: 42 Questions and Answers
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ISQI CT-GenAI Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Tools for Testing Generative AI	20%	- Testing Tools Overview 1. Categories of GenAI testing tools 2. Selecting appropriate tools for specific testing needs - Using Tools for Common Testing Activities 1. Security testing tools 2. Prompt testing tools 3. Model evaluation tools 4. Simulation and monitoring tools
Topic 2: Fundamentals of Generative AI	20%	- AI Development Lifecycle 1. Model training and fine-tuning 2. Data collection, preparation, and curation 3. Evaluation 4. Deployment and monitoring - Generative AI Concepts 1. Training data and context windows 2. Model types (Base, Instruction-tuned, RAG) 3. AI model behavior 4. Emergent capabilities and limitations 5. Alignment and guardrails 6. Hallucinations - AI Terminology 1. Generative AI (GenAI) 2. Tokens and prompts 3. Large Language Models (LLMs) 4. Deep Learning 5. Artificial Intelligence (AI) 6. Transformer architecture 7. Machine Learning (ML)
Topic 3: Testing Activities for Generative AI	30%	- Requirements-Based Testing 1. Functional requirements for AI-based systems 2. AI-related quality requirements 3. Non-functional requirements for AI-based systems - Traceability and Documentation 1. Documentation requirements for AI testing 2. Test coverage of AI model components - Model and Output Evaluation 1. Checkpoint testing 2. Output correctness and quality assessment 3. Metamorphic testing 4. Automated evaluation methods 5. Human evaluation methods - Prompt-Based Testing 1. Test case design using prompts 2. Prompt engineering basics 3. Test data creation with GenAI
Topic 4: Risks and Testing Challenges for Generative AI	30%	- Testing Challenges for Generative AI 1. Ethical testing concerns 2. Test oracle problem 3. Complexity of the AI component 4. Coverage challenges 5. Subjectivity of quality assessment 6. Non-deterministic output behavior 7. Regulatory and compliance considerations - Quality Risks Specific to Generative AI 1. Inappropriate output for the context 2. Inconsistent responses across runs 3. Input sensitivity (prompt brittleness) 4. Offensive, harmful, or biased content 5. Incorrect or fabricated outputs (hallucinations) 6. Dependency on external components

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

Question #1

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. Maintaining static documentation repositories without real-time prompt standardization processes
C. Treating prompts as access credentials or compliance records rather than functional templates
D. Applying a reusable and structured template that guides GenAI models toward consistent outputs

Answer: D