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ISQI CT-GenAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Risks and Testing Challenges for Generative AI | 30% | - Quality Risks Specific to Generative AI
- 1. Incorrect or fabricated outputs (hallucinations)
- 2. Inconsistent responses across runs
- 3. Dependency on external components
- 4. Offensive, harmful, or biased content
- 5. Inappropriate output for the context
- 6. Input sensitivity (prompt brittleness)
- Testing Challenges for Generative AI
- 1. Complexity of the AI component
- 2. Non-deterministic output behavior
- 3. Regulatory and compliance considerations
- 4. Coverage challenges
- 5. Test oracle problem
- 6. Ethical testing concerns
- 7. Subjectivity of quality assessment
|
| Tools for Testing Generative AI | 20% | - 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
|
| Testing Activities for Generative AI | 30% | - Prompt-Based Testing
- 1. Test data creation with GenAI
- 2. Test case design using prompts
- 3. Prompt engineering basics
- Model and Output Evaluation
- 1. Automated evaluation methods
- 2. Checkpoint testing
- 3. Human evaluation methods
- 4. Output correctness and quality assessment
- 5. Metamorphic testing
- Requirements-Based Testing
- 1. AI-related quality requirements
- 2. Functional requirements for AI-based systems
- 3. Non-functional requirements for AI-based systems
- Traceability and Documentation
- 1. Test coverage of AI model components
- 2. Documentation requirements for AI testing
|
| Fundamentals of Generative AI | 20% | - AI Terminology
- 1. Transformer architecture
- 2. Large Language Models (LLMs)
- 3. Artificial Intelligence (AI)
- 4. Deep Learning
- 5. Machine Learning (ML)
- 6. Tokens and prompts
- 7. Generative AI (GenAI)
- AI Development Lifecycle
- 1. Deployment and monitoring
- 2. Model training and fine-tuning
- 3. Data collection, preparation, and curation
- 4. Evaluation
- Generative AI Concepts
- 1. Emergent capabilities and limitations
- 2. AI model behavior
- 3. Alignment and guardrails
- 4. Model types (Base, Instruction-tuned, RAG)
- 5. Hallucinations
- 6. Training data and context windows
|
ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:
Question 1
What are the three key phases in adopting GenAI in a test organization?
A. Prototype; pilot; decommission
B. Training; certification; outsourcing
C. Discovery; initiation and usage definition; utilization and iteration
D. Planning; execution; sign-off
Question 2
How do tester responsibilities MOSTLY evolve when integrating GenAI into test processes?
A. Moving from black-box exploratory testing toward exclusively performing code-based white-box checks
B. Shifting from test execution toward reviewing, refining, and validating AI-generated testware
C. Replacing existing test coverage validation with automated summary reports generated by AI
D. Transitioning from manual execution to complete automation with no human oversight
Question 3
The model flags anomalies in logs and also proposes partitions for input validation tests. Which metrics BEST evaluate these two outcomes together?
A. Diversity for anomaly identification and precision for partitions
B. Time efficiency for anomaly detection and accuracy for coverage of valid/invalid partitions
C. Accuracy for anomaly detection and Precision for coverage of valid/invalid partitions
D. Precision for anomaly identification and recall for coverage of valid/invalid partitions
Question 4
You are tasked with applying structured prompting to perform impact analysis on recent code changes. Which of the following improvements would BEST align the prompt with structured prompt engineering best practices for comprehensive impact analysis?
A. Include mapping code changes to affected modules, identifying test cases, prioritizing by risk level and change complexity
B. Include references to version control systems like Git in the constraints.
C. Add a step to review the change log for syntax errors before analysis.
D. Specify that the role is a test architect specializing in CI/CD pipelines.
Question 5
What is a primary compliance concern related to Shadow AI in organizational test environments?
A. Difficulty in aligning project milestones with business outcomes
B. Failure to update system documentation within the test process
C. Violation of established data handling and regulatory compliance standards
D. Automated compliance validation during AI tool deployment
Solutions:
Question 1
Answer: C | Question 2
Answer: B | Question 3
Answer: D | Question 4
Answer: A | Question 5
Answer: C |
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