Exam Code: CT-GenAI
Exam Name: ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0
Certification Provider: ISQI
Corresponding Certification: AI Testing

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ISQI CT-GenAI Exam Syllabus Topics:

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

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

Question #1

Which statement about data privacy risks in GenAI-assisted testing is INCORRECT?

A. Using GenAI without regulatory compliance can lead to legal exposure
B. GenAI outputs can accidentally reveal sensitive information present in inputs
C. Strict GDPR compliance eliminates all privacy risk
D. Some GenAI tools may store/process data without explicit consent

Reveal Solution Discussion 0

Correct Answer: C 🗳️