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ISQI CT-GenAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Fundamentals of Generative AI | 20% | - AI Terminology
|
| Topic 2: Tools for Testing Generative AI | 20% | - Using Tools for Common Testing Activities
|
| Topic 3: Testing Activities for Generative AI | 30% | - Requirements-Based Testing
|
| Topic 4: Risks and Testing Challenges for Generative AI | 30% | - Testing Challenges for Generative AI
|
ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:
1. Which consideration BEST aligns LLM choice with organizational goals in a GenAI testing strategy?
A) Select LLMs aligned to measurable test outcomes, compatible with current infrastructure
B) Select models with maximum vendor visibility and strong online presence to ensure reliability
C) Select broad-coverage models offering diverse functionalities for various test scenarios
D) Select open-source models prioritizing creativity over compliance or performance consistency
2. Which statement BEST contrasts interaction style and scope?
A) Both are identical aside from UI theme.
B) Chatbots enforce fixed workflows; LLM apps support free-form exploration beneficial for software testing
C) Chatbots enable conversational interactions; LLM apps provide capabilities for defined test tasks.
D) Chatbots require API integration; LLM apps do not.
3. 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) Prioritize requirements -> generate conditions -> review defects
B) Detect requirement defects -> generate conditions -> prioritize
C) Generate conditions -> prioritize by risk -> map to requirements to find gaps
D) Generate prioritized conditions in one shot -> verify coverage
4. What distinguishes an LLM-powered agent from a basic AI chatbot in test processes?
A) Ability to trigger automated actions beyond conversation
B) Reliance on predefined templates to generate short, factual answers
C) Use of a conversational tone and improved response personalization
D) Ability to respond to prompts without explicit user instructions
5. Which AI approach requires feature engineering and structured data preparation?
A) Symbolic AI
B) Classical Machine Learning
C) Deep Learning
D) Generative AI
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: B |






