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ISQI CT-GenAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Deploying and Integrating GenAI in Test Organisations | 15% | - Strategy, governance, and adoption roadmap - Measuring value and continuous improvement - Roles, skills, and team readiness |
| Introduction to Generative AI for Software Testing | 15% | - Core concepts: Generative AI, LLMs, foundation models - Capabilities and limitations relevant to testing - Use cases across the testing lifecycle |
| Prompt Engineering for Effective Software Testing | 35% | - Principles and structure of effective prompts - Prompt patterns for test design, data generation, automation - Iterative refinement and evaluation of prompts |
| Managing Risks of Generative AI in Software Testing | 25% | - Hallucinations, bias, inaccuracy, and consistency risks - Validation, verification, and mitigation strategies - Data privacy, security, and compliance concerns |
| LLM-Powered Test Infrastructure | 10% | - Architecture and deployment considerations - RAG, fine-tuning, and model adaptation - AI agents and integration with test tools |
ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:
1. Which statement about fine-tuning for test tasks is INCORRECT?
A) It replaces the model's general knowledge entirely and prevents overfitting
B) It enhances relevance to organizational terminology and formats
C) It can be applied to smaller SLMs to improve task performance with lower compute
D) It adapts a pre-trained model to a domain using task-specific data
2. A prompt begins: "You are a senior test manager responsible for risk-based test planning on a payments platform." Which component is this?
A) Instruction
B) Constraints
C) Context
D) Role
3. Which AI approach requires feature engineering and structured data preparation?
A) Deep Learning
B) Symbolic AI
C) Generative AI
D) Classical Machine Learning
4. Who typically defines the system prompt in a testing workflow?
A) Product owner in user stories only
B) End user during normal chat use
C) CI server automatically without human input
D) A tester configuring the assistant
5. Your team needs to generate 500 API test cases for a REST API with 50 endpoints. You have documented 10 exemplar test cases that follow your organization's standard format. You want the LLM to generate test cases following the pattern demonstrated in your examples. Which of the following prompting techniques is BEST suited to achieve your goal in this scenario?
A) Prompt chaining
B) Zero-shot prompting
C) Meta prompting
D) Few-shot prompting
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: D |




