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ISQI CT-GenAI Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Application of GenAI in Software Testing | - Practical use in testing workflows
|
| Topic 2: Risk, Quality, and Limitations of GenAI | - Risks in GenAI usage
|
| Topic 3: Organizational Adoption and Governance | - Enterprise GenAI adoption
|
| Topic 4: Foundations of Generative AI and LLMs | - Introduction to Generative AI in Software Testing
|
| Topic 5: Prompt Engineering for Testing | - Prompt design techniques
|
ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:
1. What is a primary compliance concern related to Shadow AI in organizational test environments?
A) Difficulty in aligning project milestones with business outcomes
B) Automated compliance validation during AI tool deployment
C) Failure to update system documentation within the test process
D) Violation of established data handling and regulatory compliance standards
2. Which setting can reduce variability by narrowing the sampling distribution during inference?
A) Using a larger context window
B) Lowering temperature
C) Increasing temperature
D) Increasing learning rate
3. Which statement about fine-tuning for test tasks is INCORRECT?
A) It enhances relevance to organizational terminology and formats
B) It replaces the model's general knowledge entirely and prevents overfitting
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
4. What distinguishes an LLM-powered agent from a basic AI chatbot in test processes?
A) Use of a conversational tone and improved response personalization
B) Reliance on predefined templates to generate short, factual answers
C) Ability to trigger automated actions beyond conversation
D) Ability to respond to prompts without explicit user instructions
5. Which option BEST differentiates the three prompting techniques?
A) Meta = step decomposition; Chaining = zero-shot only; Few-shot = manual optimization
B) Few-shot = no examples; Chaining = single prompt; Meta = disable iteration
C) Few-shot = examples; Chaining = multi-step prompts; Meta = model helps draft/refine prompts
D) Chaining = give examples; Few-shot = break tasks; Meta = manual edits only
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: C |

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