Comprehensive CT-GenAI Exam Dumps (V8.02) for the ISTQB CT-GenAI Certification Preparation 2026 – Check CT-GenAI Free Dumps Online

1. 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?

2. Which option BEST differentiates the three prompting techniques?

3. When an organization uses an AI chatbot for testing, what is the PRIMARY LLMOps concern?

4. An LLM prioritizes tests using likelihood X impact but ranks a trivial tooltip change above a payment failure.

What defect does this MOST LIKELY show?

5. A team notices vague, inconsistent LLM outputs for the same story for two different prompts.

Which technique BEST helps choose the stronger wording among two prompt versions using predefined metrics?

6. Which consideration BEST aligns LLM choice with organizational goals in a GenAI testing strategy?

7. A prompt section states: “Web checkout module v3.2; focus on coupon application; existing regression suite IDs T-112―T-150; recent defect ID BUG-431.”

Which component is this?

8. A prompt begins: “You are a senior test manager responsible for risk-based test planning on a payments platform.” Which component is this?

9. 1.Which standard specifies requirements for managing AI systems within an organization, supporting consistent GenAI use in testing?

10. Which setting can reduce variability by narrowing the sampling distribution during inference?

11. What BEST protects sensitive test data at rest and in transit?

12. Which statement about data privacy risks in GenAI-assisted testing is INCORRECT?

13. Which technique MOST directly reduces hallucinations by grounding the model in project realities?

14. What is a key data-related aspect when defining a GenAI strategy for testing?

15. 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?