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ISQI CT-GenAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Introduction to Generative AI for Software Testing | 15% | - Capabilities and limitations relevant to testing - Use cases across the testing lifecycle - Core concepts: Generative AI, LLMs, foundation models |
| Topic 2: Prompt Engineering for Effective Software Testing | 35% | - Iterative refinement and evaluation of prompts - Prompt patterns for test design, data generation, automation - Principles and structure of effective prompts |
| Topic 3: Deploying and Integrating GenAI in Test Organisations | 15% | - Roles, skills, and team readiness - Measuring value and continuous improvement - Strategy, governance, and adoption roadmap |
| Topic 4: LLM-Powered Test Infrastructure | 10% | - AI agents and integration with test tools - RAG, fine-tuning, and model adaptation - Architecture and deployment considerations |
| Topic 5: Managing Risks of Generative AI in Software Testing | 25% | - Data privacy, security, and compliance concerns - Hallucinations, bias, inaccuracy, and consistency risks - Validation, verification, and mitigation strategies |
ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:
1. What does an embedding represent in an LLM?
A) Logical rules for reasoning
B) A set of test cases for validation
C) Tokens grouped into context windows
D) Numerical vectors capturing semantic relationships
2. How do tester responsibilities MOSTLY evolve when integrating GenAI into test processes?
A) Replacing existing test coverage validation with automated summary reports generated by AI
B) Shifting from test execution toward reviewing, refining, and validating AI-generated testware
C) Transitioning from manual execution to complete automation with no human oversight
D) Moving from black-box exploratory testing toward exclusively performing code-based white-box checks
3. Which concept refers to breaking text into smaller units for processing by LLMs?
A) Tokenization
B) Context Window
C) Transformer
D) Embeddings
4. What is a key data-related aspect when defining a GenAI strategy for testing?
A) Use only auto-generated synthetic data to avoid dependency on enterprise repositories
B) Prioritize accurate and relevant input data secured through defined quality procedures
C) Aggregate data from all available organizational repositories without filtration
D) Neglect legacy data sources as they provide limited immediate relevance to testing tasks
5. What defines a prompt pattern in the context of structured GenAI capability building?
A) Applying a reusable and structured template that guides GenAI models toward consistent outputs
B) Treating prompts as access credentials or compliance records rather than functional templates
C) Maintaining static documentation repositories without real-time prompt standardization processes
D) Using ad hoc prompts without reference to previously proven structures or examples
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: A |


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