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ISQI CT-GenAI Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Risk, Quality, and Limitations of GenAI | - Risks in GenAI usage
|
| Foundations of Generative AI and LLMs | - Introduction to Generative AI in Software Testing
|
| Application of GenAI in Software Testing | - Practical use in testing workflows
|
| Organizational Adoption and Governance | - Enterprise GenAI adoption
|
| Prompt Engineering for Testing | - Prompt design techniques
|
ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:
You must use GenAI to perform test analysis on a payments module with finalized requirements: (1) generate test conditions, (2) prioritize by risk, (3) check coverage gaps. Which sequence best applies prompt chaining?
- A. Detect requirement defects -> generate conditions -> prioritize
- B. Generate conditions -> prioritize by risk -> map to requirements to find gaps
- C. Generate prioritized conditions in one shot -> verify coverage
- D. Prioritize requirements -> generate conditions -> review defects
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When an organization uses an AI chatbot for testing, what is the PRIMARY LLMOps concern?
- A. Maximizing scalability by deploying larger cloud-based LLM clusters
- B. Maintaining data privacy and minimizing security risks from external services
- C. Focusing primarily on user experience improvements and response formatting
- D. Achieving faster responses by reducing model checkpoints and updates
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Which standard specifies requirements for managing AI systems within an organization, supporting consistent GenAI use in testing?
- A. NIST AI RMF 1.0
- B. EU AI Act
- C. ISO/IEC 23053:2022
- D. ISO/IEC 42001:2023
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What are the three key phases in adopting GenAI in a test organization?
- A. Prototype; pilot; decommission
- B. Planning; execution; sign-off
- C. Discovery; initiation and usage definition; utilization and iteration
- D. Training; certification; outsourcing
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What does an embedding represent in an LLM?
- A. Numerical vectors capturing semantic relationships
- B. Logical rules for reasoning
- C. Tokens grouped into context windows
- D. A set of test cases for validation
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