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ISQI CT-GenAI Exam Syllabus Topics:

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

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

Question #1

You are using an LLM to assist in analyzing test execution trends to predict potential risks. Which of the following improvements would BEST enhance the LLM's ability to predict risks and provide actionable alerts?

A. Expand the output format to include risk predictions with severity levels, recommended actions, and a timeline for team intervention based on trend analysis.
B. Emphasize constraints that focus on deviations that could impact release timelines or quality gates.
C. Add an instruction to calculate statistical variance and highlight tests that deviate by more than 20% from baseline metrics.
D. Specify that the role is a test analyst with expertise in predictive analytics and risk management.

Reveal Solution Discussion 0

Correct Answer: A 🗳️