Exam Name: ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0
Certification Provider: ISQI
Corresponding Certification: AI Testing
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ISQI CT-GenAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: Deploying and Integrating GenAI in Test Organisations | 15% | - Measuring value and continuous improvement - Roles, skills, and team readiness - Strategy, governance, and adoption roadmap |
| Topic 3: Prompt Engineering for Effective Software Testing | 35% | - Prompt patterns for test design, data generation, automation - Principles and structure of effective prompts - Iterative refinement and evaluation of prompts |
| Topic 4: Managing Risks of Generative AI in Software Testing | 25% | - Validation, verification, and mitigation strategies - Data privacy, security, and compliance concerns - Hallucinations, bias, inaccuracy, and consistency risks |
| Topic 5: LLM-Powered Test Infrastructure | 10% | - AI agents and integration with test tools - Architecture and deployment considerations - RAG, fine-tuning, and model adaptation |
ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:
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
Correct Answer: C 🗳️
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What is a hallucination in LLM outputs?
- A. A transient network failure during inference
- B. A systematic preference learned from data
- C. A logical mistake in multi-step deduction
- D. Generation of factually incorrect content for the task
Correct Answer: D 🗳️
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Which concept refers to breaking text into smaller units for processing by LLMs?
- A. Transformer
- B. Context Window
- C. Tokenization
- D. Embeddings
Correct Answer: C 🗳️
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Which statement BEST contrasts interaction style and scope?
- A. Chatbots enforce fixed workflows; LLM apps support free-form exploration beneficial for software testing
- B. Both are identical aside from UI theme.
- C. Chatbots require API integration; LLM apps do not.
- D. Chatbots enable conversational interactions; LLM apps provide capabilities for defined test tasks.
Correct Answer: D 🗳️
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An attacker sends extremely long prompts to overflow context so the model leaks snippets from its training data. Which attack vector is this?
- A. Malicious code generation
- B. Data exfiltration
- C. Data poisoning
- D. Request manipulation
Correct Answer: B 🗳️
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