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

CT-GenAI actual test
  • Exam Code: CT-GenAI
  • Exam Name: ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0
  • Updated: Aug 15, 2026
  • Q & A: 42 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $59.99  

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ISQI CT-GenAI Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Fundamentals of Generative AI20%- AI Development Lifecycle
  • 1. Model training and fine-tuning
  • 2. Deployment and monitoring
  • 3. Evaluation
  • 4. Data collection, preparation, and curation
- Generative AI Concepts
  • 1. Hallucinations
  • 2. Training data and context windows
  • 3. AI model behavior
  • 4. Emergent capabilities and limitations
  • 5. Alignment and guardrails
  • 6. Model types (Base, Instruction-tuned, RAG)
- AI Terminology
  • 1. Tokens and prompts
  • 2. Artificial Intelligence (AI)
  • 3. Large Language Models (LLMs)
  • 4. Transformer architecture
  • 5. Deep Learning
  • 6. Machine Learning (ML)
  • 7. Generative AI (GenAI)
Topic 2: Risks and Testing Challenges for Generative AI30%- Quality Risks Specific to Generative AI
  • 1. Input sensitivity (prompt brittleness)
  • 2. Dependency on external components
  • 3. Inconsistent responses across runs
  • 4. Offensive, harmful, or biased content
  • 5. Incorrect or fabricated outputs (hallucinations)
  • 6. Inappropriate output for the context
- Testing Challenges for Generative AI
  • 1. Test oracle problem
  • 2. Regulatory and compliance considerations
  • 3. Ethical testing concerns
  • 4. Coverage challenges
  • 5. Complexity of the AI component
  • 6. Non-deterministic output behavior
  • 7. Subjectivity of quality assessment
Topic 3: Tools for Testing Generative AI20%- Using Tools for Common Testing Activities
  • 1. Prompt testing tools
  • 2. Model evaluation tools
  • 3. Security testing tools
  • 4. Simulation and monitoring tools
- Testing Tools Overview
  • 1. Categories of GenAI testing tools
  • 2. Selecting appropriate tools for specific testing needs
Topic 4: Testing Activities for Generative AI30%- Requirements-Based Testing
  • 1. AI-related quality requirements
  • 2. Functional requirements for AI-based systems
  • 3. Non-functional requirements for AI-based systems
- Model and Output Evaluation
  • 1. Metamorphic testing
  • 2. Checkpoint testing
  • 3. Automated evaluation methods
  • 4. Human evaluation methods
  • 5. Output correctness and quality assessment
- Traceability and Documentation
  • 1. Documentation requirements for AI testing
  • 2. Test coverage of AI model components
- Prompt-Based Testing
  • 1. Test data creation with GenAI
  • 2. Test case design using prompts
  • 3. Prompt engineering basics

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

1. Which statement BEST describes vision-language models (VLMs)?

A) VLMs process audio and video but not images.
B) VLMs are a subset of multimodal LLMs integrating visual and textual information.
C) VLMs are unrelated to multimodal LLMs and focus only on UI automation.
D) VLMs are a superset of multimodal LLMs.


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

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


3. When an organization uses an AI chatbot for testing, what is the PRIMARY LLMOps concern?

A) Achieving faster responses by reducing model checkpoints and updates
B) Focusing primarily on user experience improvements and response formatting
C) Maintaining data privacy and minimizing security risks from external services
D) Maximizing scalability by deploying larger cloud-based LLM clusters


4. What defines a prompt pattern in the context of structured GenAI capability building?

A) Treating prompts as access credentials or compliance records rather than functional templates
B) Applying a reusable and structured template that guides GenAI models toward consistent outputs
C) Maintaining static documentation repositories without real-time prompt standardization processes
D) Using ad hoc prompts without reference to previously proven structures or examples


5. A prompt section states: "Web checkout module v3.2; focus on coupon application; existing regression suite IDs T-112-T-150; recent defect ID BUG-431." Which component is this?

A) Input data
B) Instruction
C) Output format
D) Constraints


Solutions:

Question # 1
Answer: B
Question # 2
Answer: D
Question # 3
Answer: C
Question # 4
Answer: B
Question # 5
Answer: A

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